The enumeration dropped every `!` line and matched with fnmatch, whose `*` crosses
`/`. YesWiki's `tools/*` followed by `!tools/bazar` therefore removed all 583 PHP
files under tools/, the vulnerable FormManager.php among them. The scan read 243 of
803 files, completed 1128 of 1128 questions and looked clean: a zero from an unread
tree.
Rules now follow git:
- the last matching rule wins, and `!` re-includes;
- `*` and `?` stay inside one path component, and `**` crosses components;
- a rule with an inner `/` is anchored to the root;
- a trailing `/` matches directories only;
- nothing under an ignored directory can be re-included.
In a work tree, a tracked file is never ignored, because `.gitignore` describes what
the repository does not hold.
The test uses `git check-ignore` as the oracle on 16 paths covering negation,
anchoring, depth, directory-only and `**`. It also covers a git-archive export with
no .git, and a tracked file under an ignored directory. All three tests fail on the
old reader.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Two defects found by the cause-B rescan of the independent population (exploratory,
a retune after protocol-v1):
- `typescript_property_support_unvalidated` still reached the whole repository.
YesWiki is a PHP application that ships a few `.ts` files, and all 1,128 of its PHP
questions were unresolved. The limit is now owned by the TypeScript partition. A
TypeScript project (Mockoon, Signal K) is unchanged.
- `isSourceCall`, and the method-level "reads a source" heuristics, matched source
patterns as substrings. Flask's `request.get` therefore claimed Django's
`request.get_host()`. wger's fix passes that host to
`url_has_allowed_host_and_scheme`, and both fixed functions were reported as open
redirects from it. Patterns are now matched as bounded tokens, like sinks and
sanitizers. wger's vulnerable-pin detections rest on `request.GET`, which still
matches.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
This extends dbcb230 to the remaining graph-integrity gaps. In the independent
evaluation these gaps were repository-wide:
- alerta: one symlink, `alerta/app.wsgi`, which is not even source, made 261 of 261
questions unresolved.
- wger and Signal K: a language no frontend reads did the same.
- YesWiki: unparsed files did the same.
Now:
- the partition build records the paths a symlink boundary skipped (a directory
ends in `/`) and the languages no frontend reads;
- `files_unparsed` carries its full paths;
- the scan demotes only questions about an owned path or under an owned directory,
and only questions in an owned language.
Every gap stays in the report as a boundary. A gap that names nothing keeps its
partition-wide or repository-wide reach. Tier-0 pruning stays off, as before.
The tests that pinned repository-wide reach now assert ownership. The one about a
vendor exclusion masking an integrity failure keeps its intent, using a census gap
that names no file.
Retune after protocol-v1; exploratory only.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
`esc_sql` and the mysql/pg `*_escape_string` functions only backslash quotes. A value
they escape is safe inside a quoted literal and nowhere else. Ultimate Member
CVE-2024-1071 is `$sortby = esc_sql(...)` built into `" ORDER BY u.{$sortby} "`, and
it read as sanitized. Sanitizer facts can now say `quoted_only`. The escape keeps its
credit unless the first string the value is built into (concat, interpolation,
addition, f-string) places it after literal text that opens no quote. With no string
built downstream, the credit stays as before. pg_escape_literal adds its own quotes
and stays a full cleanser.
Two further defects hid the same CVE:
- The engine is field-insensitive on the object. Its one path from `$this->sql_order`
went `$this` -> `$this->having` -> `esc_sql($this->having)` -> ... -> the query.
absorbedByObject cut it, and it credited an unrelated field's escape. When a path
leaves a field through the object for another field and reads the first field
again, the detour is spliced out. The later read may be on the path or inside the
sink argument where the path ends.
- The field join judged a field clean if ANY sanitizer name was on its path. It now
uses the same quote-aware check as a row. This matters because the engine's own
path to the query changed between runs: 2 of 4 identical runs chose a path via
`$wpdb->prepare`. The field join is the deterministic route.
Exploratory (retune after protocol-v1): the Ultimate Member vulnerable pin is detected
at class-member-directory-meta.php:936. The fixed pin still alerts at :945. Its fix is
an allowlist (`in_array(...) ? $v : 'ASC'`, and an `in_array` guard), which is not
modelled yet.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
python.toml's sources were Flask-only, so no flow could start anywhere on a Django
project. OpenCVE's SSRF reads its URL from `form.cleaned_data`, and the scan answered
the sink file and found nothing. Added: request.GET/POST/body/COOKIES/FILES/META,
DRF's query_params, and cleaned_data.
With those sources known, OpenCVE reported three redirects that cannot leave the
site: `reverse("cves") + "?" + request.GET.urlencode()` (twice) and
`reverse(route, kwargs=...)`. Destination sink facts can now set
`prefix_fixes_origin` and `origin_anchors`. A path is cut when it enters a
concatenation, f-string or `+=` through anything other than its leftmost operand,
and that operand fixes the origin. Origin-fixing operands:
- a literal `/x`, `?` or `#`;
- a literal of the form scheme://host/;
- an anchor call;
- a variable whose every assignment fixes the origin.
A path is also cut when it passes through an anchor. `"/" + x` (//evil) and
`"https://" + host` stay reported. A Joern-gated test covers all seven shapes.
Exploratory (retune after protocol-v1): OpenCVE vulnerable and fixed pins are both
0 findings, down from 2 and 3. The SSRF itself is still missed, because the flow
crosses a registry dispatch (`REGISTRY.get(t)(extras).run()`) that the engine does
not follow.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
mongo-express CVE-2019-10758 passes the request body to vm.runInNewContext. No
injection sink named that call, so the flow was answered and missed. runInNewContext,
runInContext, runInThisContext and compileFunction are now CWE-95 sinks.
Once the file's questions completed, the fixed pin showed a second defect. Every call
on `require('mongodb-query-parser')` has that package name as its full name. The
bounded-token match treats `-` as a boundary, so the name matched the SQL sink
`query`. In a full name, `-` belongs to a package name, so it no longer separates
tokens.
Exploratory (retune after protocol-v1): mongo-express vulnerable pin now detected at
lib/bson.js:60.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The first independent evaluation (results-v1.json) completed no question on eight of
eleven projects. On the cases traced, the cause was a census gap: `.eslintrc.js` or
`webpack.config.js` missing from a JavaScript graph, or `contrib/apache/api.wsgi` from a
Python graph, and every question in that language was then marked unresolved. Now only
questions about a named missing file are demoted. The gap is still reported as a
boundary. A gap that names no files still reaches its whole partition.
This is a retune after the evaluation. Per protocol-v1 it cannot be qualified on the
same population.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Scored exactly per the pre-registered protocol-v1.md, analyzer ebcc2cf,
44 scans on eleven untouched cases.
Recall 1/11 (95% CI 0.016-0.377): only Signal K's SSRF sink is detected.
Precision 1/12 on the full pooled sample: the other eleven findings are
guarded redirects (isSafeRelativeUrl, getSafeDestination), Host-header
redirects, constant SET NAMES queries, a config-file eval and an installer.
Four fixed-side false alerts (mongo-express bson.js, both wger sinks after
their guard was added) and one benign.
The dominant cause is coverage, not precision: at the vulnerable pin eight
of eleven cases completed ZERO questions and Saltcorn asked none, so most
targets were never decided. Recorded before any investigation or change.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Committed before any case is scanned: what is under test (the analyzer at the
runner's commit, per-case family only, four scans per case), how a finding
MATCHES a case (a fix-changed file, the case family, the named function or
within 10 lines of a fix hunk), detection / fixed-side / benign false alerts,
unanswered and instrument failures, the precision sampling rule (every third
pooled vulnerable-pin finding, or all if 15 or fewer), what is reported
against the M4 gates, and that no retune may be informed by the results.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Every reserved case verified with git and file reads only -- nothing
scanned: pins present and ordered, the sink present at the vulnerable pin,
the fix touching the sink (or LearnPress's declared source-side fix site),
and the sink file hashed at both pins (benchmarks/independent/freeze.py,
record freeze-v1.json).
Each case now carries a benign control from its own history, reviewed by
diff. The mechanical keyword filter was not enough: it proposed an access
restriction, a filter check, API-token scopes, a login change and a
TLS-verification option, all rejected; Ultimate Member and alerta got
hand-picked controls (a WPCS reformat; a dependency change with both sides
still vulnerable). The guard test requires a benign pair per case once
frozen.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Eleven cases chosen by the maintainer from fifteen researched by advisory
and fix diff only -- nothing cloned, nothing scanned, none among the 262
repositories the benchmarks reference -- plus the earlier Ghost
reservation. Four are PHP repositories that ship JavaScript (two WordPress
plugins), satisfying the multi-language requirement; families are limited
to the v1 scope (injection, untrusted destination, permissive config).
The development subjects shaped every rule of the last week and can no
longer measure whether those rules generalise; this population can, until
something scans it. A guard test fails the moment a reserved repository is
referenced by a recipe, catalog, manifest or measurement outside
benchmarks/independent/. Freezing (pins and sinks verified by reading
source, a benign change per case) is the next step.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The largest remaining class in the third PMPro sample (2 of 4 false
positives): every MemberOrder method builds its statement in
$this->sqlQuery and runs it at once. One method writes request data there,
the field join keyed the field file-wide, and deleteMe() -- which had just
set it from the internal $this->id -- and updateTimestamp() (no caller in
the plugin) were reported as SQL injections.
A field read is now a field-join source only when it reads state another
method left: not the target of a write, and not a read that the method's
own write to the same field dominates. If that own write carries request
data, the ordinary flow from the source still finds it. A real-Joern
control covers all three: the method whose write carries $_POST (found),
the method that overwrote it with an internal id (quiet), and a method
reading what another left (found). It fails on the old query.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Found on PMPro's re-added class-pmpro-levels.php:87: every REST handler
casts the level id, `isset($p["id"]) ? intval($p["id"]) : null`, and the
flow was reported unsanitized. Traced, the engine steps from intval's
argument straight to the conditional, so `intval` is never a path element
and the element-wise sanitizer check never saw it.
- sanitizedBetween: where a path element contains the previous one, the
syntax between them is what the value was wrapped in; a sanitizer there
sanitizes the flow. A sanitizer elsewhere in the expression (the other
branch of a conditional) does not count. Used by the sink query and the
hook join; the field join already matched sanitizer text.
- The test exposed the conditional itself as a source: isSourceCall matched
any operator by its full text. Of the operators only an access
(field/index) names its own value; a conditional or concatenation built
from `$_GET` is not a source.
A real-Joern control covers the cast inside a conditional (sanitized) and
a sanitizer in the other branch (not); 20 query tests pass.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
profile.php:424 survived the hook-argument fix through the field join: in
another function of the same file, `$user = new stdClass; $user->ID =
$_POST['user_id']`, and the join keys a field by its TEXT across the whole
file, so the WP_User parameter's `$user->ID` became a field source.
The join exists to carry object state between methods ($this->attachments
written in the constructor, read in _delete_files). That reading of a
field's text holds only when the base IS the object ($this, this, self).
Any other base is a variable, matched within its own method only, where
the engine's dataflow already sees it. A real-Joern control covers both
(a local variable's field in another function stays quiet; $this state
across methods is traced) and fails on the old query.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The mapper took the FIRST 'callback' in a 12-line window. One registration
commonly carries an array of endpoints; PMPro's /discount_code has a GET
and a POST handler, so the writer, pmpro_rest_api_set_discount_code, was an
ordinary `function` entry. Since da0ee57 such an entry's parameters are
not attacker input, so its $request stopped being a source and the REST
route that injects SQL through the discount-code save() had no source at
all.
The argument list of the call is now read to its balancing parenthesis,
every callback in it is a route, and each keeps the permission callback of
its own endpoint (the first after it before the next callback, else the
last before it). PMPro: 15 -> 18 REST routes.
This restores the source, not the finding: traced unfiltered, the engine
does not carry $discount_code->code = $code (written in the handler) into
$this->code inside save() once other methods have been called on the
object; the one path it reports detours through a prepared query's result.
Recorded as the next recall gap: a cross-file field join keyed by class.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The core-hook-argument class from the second PMPro adjudication:
pmpro_membership_history_profile_fields($user) on `edit_user_profile` was
a route entry, so its parameters were attacker input -- and $user is the
WP_User WordPress loaded; its ID became an SQL injection.
A callback registered in a string-keyed registry is handed its arguments by
the matching apply call, not by the request. The mapper now records the
registration call on the entry (`registered_by`), regions carry it, and the
dispatch fact says which registrations DO hand a callback request-borne
arguments (`request_arguments`; WordPress: add_shortcode, whose $atts are
post content). Every other registered callback keeps its call depth but
its parameters stop being sources; request data that reaches an apply
call's arguments is still followed by the hook half of the taint query.
REST routes are not registry entries and keep the parameter rule.
Controls: the fact field is validated against `register`; a hook callback
is not input, a shortcode and a plain route are.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The apply_filters class from the second PMPro adjudication (2 of 3
remaining false positives): `apply_filters('pmpro_random_code', $code,
$this)` returned whatever $this carried, and a report's `$type` reached SQL
only as an extra filter argument. Two causes, both fixed generally:
- The dispatch fact now says what an apply call RETURNS: `returns` names
the calls whose result is the dispatched value and `value_arg` its
position (WordPress: apply_filters/apply_filters_ref_array return
argument 2; do_action returns nothing). A path through such a call must
ENTER by that argument -- the first of the run of the call's arguments
before it, because the engine hops between sibling arguments
($_GET["c"] -> md5("x") -> apply_filters). Loaded and validated as data;
the query knows no framework.
- A call was a source when the pattern appeared anywhere in its text, so
`apply_filters(..., $_GET["c"])` and `sanitize_text_field($_POST[..])`
were sources themselves -- the "a token matches the thing it names"
invariant. A call is now a source when the pattern names its callee,
receiver or the access it is; the inner access stays a source.
Controls: dispatch facts load/validate; a real-Joern case with request
data as filter context (quiet) and as the filtered value (found). 1,453
host and 18 query tests pass.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
da0ee57 turned parameter sources off for the mapper's catch-all `function`
entries, and with them the field join's seeds, which read the same flag:
MW WP Form's CVE-2023-6559 ($this->Data, filled by a constructor) was lost
(10 -> 3). The field join now has its own request field,
`fieldParameterSources`, set by the old entry rule; a region's own
parameters follow the new one. Both known CVEs are found again (MW WP Form
10 -> 4, WP Statistics 39 -> 18, 91/91 and 774/774 completed). The dropped
findings sampled against their call sites all take internal values:
ExistTable('useronline'), wp_statistics_visit('today'), remove() on the
plugin's own temp directory, _render('text', ...).
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Two classes the traced PMPro survivors named after 1f91c0b:
- The mapper records every named PHP function as an entry of kind
`function` (3,507 of PMPro's 4,412), and every entry's parameters were
sources, so internal helpers became injections: sendCancelAdminEmail's
$user, a gateway hook callback's $user_id/$morder fired by do_action.
Regions now carry the entry kind; parameters are input only for request
entries (route, parser, privileged surface). Call depth is unchanged, so
such a region is still followed into its callees. JavaScript and Python
emit no `function` entries.
- The object rule is general: a field read continues a flow through the
bare object only if the taint came through the SAME field, or was
assigned to the variable or passed in as a parameter. It now also cuts
$this->Gateway -> this -> $this->user_id (memberorder.php:705).
plausible() memoises the sink test per node and skips the object walk for
paths with no field access (the filter had cost one outlier 101 s -> 160 s).
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Traced element by element (new opt-in `trace` on taint requests), every
false PMPro SQL injection in the adjudicated sample took one of two steps
no real injection needs, both over-approximations of Joern's dataflow:
A. Through a query: `$id = $wpdb->get_var("...'" . $token . "'")` is the
injection; the engine carried $token on through the query's RESULT
into later queries (getMemberOrderByID:705, profile.php:515).
B. Through the object: request data written to $order->ProfileStartDate,
or passed as an argument beside $wpdb, tainted the whole object and a
DIFFERENT field read from it came out tainted
(memberorder.php:1122/1633, pmproemail.php:262).
A path is now dropped when it passes through a call to a sink of its own
family, or when a field read is reached through the bare object after the
taint entered it by writing another field or without being assigned to
it. A member of a value that IS tainted (the result of a read, a return,
an assignment) and a field read back after being written are kept. Applied
to the sink query, the field join and the hook join. A real-Joern control
covers both cuts and both keeps, and fails on the old query; all 17 query
tests pass.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Reverts 6ebbc89 and e0c260c (keeping finding_dump's completed-regions
record). Measured on PMPro, comparing only questions both runs answered
(157): 37 -> 31 findings, but the six removed included the adjudicated TRUE
positive discount-codes.php:154 (REST-reachable), and only one of the six
sampled object-field false positives went away; five are still reported.
It also cut completed questions 295 -> 158. MW WP Form and WP Statistics
were unchanged either way.
The diagnosis was wrong: the object-field false positives do not come from
setter parameters. The witnesses name one field (e.g.
$update_order->BillingFrequency) and the query interpolates another
($this->membership_id), which points at field-insensitive propagation
through the object instead. To be confirmed on a flow path before any fix.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Asked of every parameter up front, 6ebbc89's caller check ran a repository-
wide flow query per parameter of every method in a file and cut PMPro's
completed injection questions from 272 to 67 in the same budget -- so its
48 -> 26 findings could not be read as precision. The flow into the field
is asked once as before; only a parameter at the head of an unsanitized
flow is checked against its callers. finding_dump now records completed
regions so runs compare only where both answered.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The field join (task 5.11) seeded every parameter of every method in the
file, so every setter made its field a source. Adjudicated on PMPro, six of
eight false SQL injections in a 1-in-5 sample were object fields holding
database or internal values ($this->membership_id, $morder->user_id).
A parameter now seeds the join only where some call site passes it request
data without a sanitizer on the way (memoised per method and index); a
request source read in the file still seeds as before. A real-Joern control
covers both directions -- a setter only given a constant stays quiet, a
constructor handed $_GET (the CVE-2023-6559 shape) is still found -- and
fails on the old query with exactly the PMPro false positive.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
48 findings, every 5th reviewed against source: 2 true (both privileged),
8 false; 6 of the 8 share one cause, object fields treated as attacker
input when they are loaded from the database. benchmarks/push/finding_dump.py
writes every finding of chosen families for review.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The loop the maintainer called out: four scale defects in the PHP transfer
replay, found one per two-hour Joern run, all Python bookkeeping between
engine calls. benchmarks/push/python_overhead.py ends that: the real
replay() on the real PMPro pins, with a JoernBackend whose graphs are stubs
and whose queries answer instantly with rows recorded from the real engine.
Engine time is zero, so everything measured is ours, in about a minute,
under the sampling profiler. Its first pass named two more walls:
- Region discovery re-parsed the ruleset for every region: 89,127 TOML
parses, 275 s of a 339 s discovery, twice per push. The fact, obligation
and taxonomy loaders now keep the parsed (immutable) result keyed by each
file's name, size and mtime -- an edit in place or an added file reloads.
Discovery 339 s -> 7 s; output digest identical on PMPro.
- affected_context decoded every span's and every line anchor's path for
every context row -- a changed file has an anchor per unchanged line --
78% of a stubbed push. Decoded once per call, anchors indexed by line and
bisected, original order kept. A randomised control compares it against
the row-by-row matching over 200 contexts (>100 attachments).
Result: the whole stubbed PMPro push, 27,542 answered requests and 2,688
outcomes, runs in 58.5 s of Python. What is left is the engine.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
b4b9308 was committed with two failing tests: the module audit read
`from . import profiling` as an import of the package, called profiling
orphaned, and the committed audit manifest drifted. My check read tail's
exit status, not pytest's. Now a from-import; manifest regenerated (109
load-bearing, 0 orphaned); 1,444 pass with pytest's own exit checked.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The cache fsynced every payload and manifest -- two per entry, ~18 ms, and a
push publishes one entry per question (~22,000 on a WordPress plugin). A
read already rejects any entry whose manifest receipt, payload size or
payload SHA-256 does not check, so a torn write is a miss, never a wrong
answer; the fsyncs bought nothing the verification does not.
The broader problem: three quadratic walls in this replay were found one
per two-hour run, because all were Python bookkeeping between engine calls
and the only record was the engine log. `OUSAST_SAMPLE_PROFILE=<path>`
starts an in-process sampler that rewrites the hottest stacks every 30 s,
so a run killed at its deadline still names where its time went. The host
cannot ptrace the container, hence in-process. The replay harness turns it
on per case.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The third wall under the 13.3 replay, found by the streamed case log: the
evidence and context passes finished at 14:53, then nothing -- no engine
call, no log line -- for 82 minutes, until the case was killed 60 s past
its 7,200 s deadline. `affected_context` tested membership with
`relation not in relationships` on a list: 7,998,000 comparisons for 4,000
relationships (profiled, 83% of the time), and a push over a WordPress
plugin attaches tens of thousands. The deadline is checked once per
question, so a single late question could run for minutes, which is also
why the process overran its cancellation allowance.
Membership now goes through a set beside the ordered list, and each
distinct context path is resolved once instead of once per row. Measured:
4,000 relationships 7.4 s -> 0.44 s; 400,000 in 16 s. The control counts
comparisons rather than timing them, and fails on the old code with
7,998,000.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The 13.3 replay on 7cf256b crashed on case 1: `pre-push` ran past its
7,200 s deadline plus the harness's 60 s grace, `subprocess.run` raised
TimeoutExpired, the harness died without running cases 2 and 3, and the
case's captured output died with it. Each case now streams stdout and
stderr to files with INFO logging on; an overrun kills the case's process
group, is recorded as `deadline_overrun` with its size -- the product
failing its cancellation contract -- and the next case still runs.
`--only` reruns selected cases. CLI log lines now carry a timestamp, so a
log can say where the time went.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The real cause of the 13.3 replay wall. Every cache publication called
`_make_room`, which listed and stat'ed every entry to total the cache size,
and a push publishes one answer per question -- 22,125 on a WordPress
plugin. Measured on the live replay cache: one scan 0.68 s at 12,238
entries, ~70 minutes spent scanning by then, ~2.3 hours to finish the
evidence pass. The engine was idle while the Python process sat at 83% CPU;
the 13/31/51-minute portions were the quadratic growing.
The scan is now remembered, keyed by the cache root's modification stamp:
our own publications and evictions update the tally in place, and any
change another process makes moves the stamp and forces a rescan, so the
size limit stays exact under concurrent pushes. Lock stripes are created up
front so their first use never invalidates the tally. Eviction order and
lease handling are unchanged.
Controls: 61 publications (one a same-key replacement) take exactly one
scan and the tally equals a fresh scan; a second writer on the same root
forces a rescan and the limit holds.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
`test_hanging_process_group_killed_inside_shared_allowance` failed about one
run in thirty under load with FileNotFoundError: it checked that
/proc/<pid>/stat existed, the killed process was reaped, and the read then
failed. A reaped process is the outcome the test wants, so it now reads and
treats a missing entry as gone. The engine-stage test had the same race.
150 of 150 runs pass under engine load.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The PHP transfer replay (pre-push 13.3) spent its whole 7,200 s case in the
head side's evidence pass. A probe on one PMPro graph named the cause: not
compute -- context adds ~20% engine time -- but OUTPUT. Each evidence request
listed every method its scope reached, up to 1,845 rows; 200 requests into
the bundled Braintree SDK returned 52,831 rows, 9.4 MB, against 211 rows
without context, over 22,125 requests in a 3 GB container.
`affected_context` only ever attaches a location in a changed file, and
every other row was checked (real file under the root, usable extent) and
discarded. The scan now sends the changed files; the engine itemises those
and folds the rest into one `context_elsewhere` row carrying exactly what
that check reads. With no safe file list the engine itemises everything,
as before.
Equivalence: unit controls over valid, missing-file, no-extent and
outside-root cases, with and without a changed-file row; a real-Joern
control; and on PMPro itself, 2,440 relationships and zero gaps decided
identically from both forms, 52,831 rows down to 3,241 with the most
referenced file as the change. Probe: benchmarks/push/context_cost_probe.py.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Same 500-region PHP run on frozen source: completion 281/406 against 153
(hard cap) and 131 (7.8), no portion killed, per-family findings never
lower, declared target still entailed. Records the 7.9 task, its limits,
and corrects the 7.8 reuse note, which was stated backwards.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The measured-cost run left 99 taint requests unasked to keep time for
arbitration and reported them as `query_failed` -- an engine that could not
answer -- because they were simply missing from the answer. They are now
`query_budget_reserved`, both as a degradation and as each question's outcome
reason, and are no longer double counted when nothing answered.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The 7.8 trace showed the completion loss was a sizer death spiral, not
expensive families: after two kills the budget fell to 3 sink visits and
never recovered, because portions finishing in 25-30 s sat under an assumed
70 s fixed start and read as "no information", so the budget could only
shrink.
- taint.sc streams each answer's own cost (`ms`); the backend carries it as a
reserved `__timing__` list through shards, partitions and reuse.
- The sizer budgets predicted seconds from per-family seconds-per-visit rates
learned from those costs, and measures the fixed start as the wall time the
answers do not explain (median), instead of assuming it.
- A kill names its culprit: the first unanswered id in request order. The ids
behind it never started and are re-queued at once; the culprit is asked
alone after the rest. One that still fails alone after more than a
portion's target is reported as `query_too_expensive`, apart from
`query_failed`.
- Portions grow id by id from the queue head, and a single-portion scan now
goes through the queue too, so a kill there re-asks its remainder.
- Fix: the reuse wrapper wrapped only `run_batch`, so since 7.8 every
portioned query bypassed the graph-reuse cache and its source-root
normalization. `run_batch_once` is wrapped too.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Final end-to-end on the 500-region PHP subject: findings identical at 125 either way, completion
slightly lower under portioning (131 of 406 vs the hard-cap-plus-reserve 153), wall time higher
(2,982 vs 2,338 s). Told straight: portioning does not beat the cap on throughput here; it matches
it on what it finds, and what it buys is kill-safety -- a killed batch keeps its streamed answers
instead of losing them. Reaching the same 125 findings is the evidence that streaming loses nothing
the cap kept.
Completion did not rise because the requeue re-asks a killed portion remainder, and on this subject
those are the expensive output-encoding questions that keep hitting the ceiling in smaller pieces,
spending budget without completing. Telling a transient kill from a too-expensive family is the next
lever, not more portioning. Neither approach is release-ready anyway: 32-38% completion against a
95% gate on development data that qualifies nothing.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Four interacting defects surfaced in sequence when the portioner was measured end to end, each
hidden by the one before: run_batch timing polluted by its own retry, a single-attempt path missing
on the partitioned graph every plugin uses, and killed remainders dropped by a fixed chunk list. All
fixed and unit-tested; the end-to-end completion number is re-measuring on a frozen tree.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The portioner iterated a fixed pre-split list, so a killed portion left its unanswered ids behind:
on the plugin the list ran out at 1,263 s of a 3,600 s budget with those remainders lost, and
completion sat far below what the budget could buy. It is now a work queue. A portion that comes back
short pushes its unanswered ids to the front, to be re-asked at the budget the kill just halved;
`fit` splits an over-budget head, so heads shrink toward single requests, and a single request a
whole ceiling could not answer is dropped rather than looped on forever. A control asserts both the
re-ask and that termination.
This is the last piece of portioning-over-cap: streaming keeps what a kill finished, single-attempt
timing keeps the sizer honest, coverage tells a too-big portion from a slow one, and the queue keeps
working while budget and work remain.
1,425 tests pass, nineteen skipped.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
run_batch_once was wired on the disposable and sharded paths but not the partitioned one -- and a
multi-language repository, which every WordPress plugin is, builds through the partitioned graph. So
the portioner fell back to run_batch there, whose internal split-retry folded into the time it
measured: a portion read 956 s and collapsed the sizer, exactly as before the single-attempt fix.
The fix had no effect on the one subject it was written for.
PartitionGraph now has run_batch_once, dispatching to each sub-graph the same way run_batch does --
the routing is factored into one _dispatch method that takes the per-graph method name. Sub-graphs
are built through the disposable path and already carry run_batch_once.
The lesson, again: a capability added at one construction site is not added at the others. There are
three that build a queryable graph -- disposable, sharded, partitioned -- and the one that mattered
for the measurement was the one missed.
1,424 tests pass, nineteen skipped.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
End-to-end, the adaptive portioner regressed completion -- 64 of 406 against 7.7 hard-cap 153 --
while finding the same defects. The cause: the portioner timed each portion with run_batch, which
splits on failure internally, so one portion folded its own eight-way retry into its number and read
953 s. The sizer fitted a per-visit rate from that and collapsed its budget to 14 visits, spending
the back half of the deadline on tiny portions.
Two portioning layers were fighting. The portioner is now the sole retry layer: it asks
run_batch_once, a single invocation whose kill returns the answers it streamed, so its wall time is
the cost of one attempt. And it observes COVERAGE, not emptiness -- a portion that came back short
of the ids it asked halves the budget, because it was too big for the ceiling; only a whole answer
gives a clean per-visit sample to fit from.
run_batch_once is new on CpgResult, wired on the disposable and sharded paths; a backend without it
falls back to run_batch unchanged. Host controls cover the single-attempt path and the
halve-on-short-answer rule.
1,424 tests pass, nineteen skipped. The end-to-end plugin re-measure on a frozen tree is the open
item; the mechanism (a kill keeps what finished) and the sizer logic are unit-verified.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The helper took a destination from the caller and rm -rf it. Re-running it into the same path while
a container had that path mounted deleted taint.sc out from under a live scan, and every request
after printed no such cpg query -- the live-mount hazard the helper exists to prevent, in a new
form. It now mints base/frozen-<commit>-<pid>-<n> itself and prints it, so reuse is impossible by
construction and the caller captures the printed path.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Measured on the plugin, first run of the adaptive sizer. A 600-visit portion answered in 184 s and
the budget was correctly cut to 262. The next portion, 199 visits, answered in 73 s -- three seconds
of work above the 70 s fixed start -- and 3 s over 199 visits read as 0.015 s each, so the budget
grew thirteen-fold to 3,404 visits. The ceiling killed that portion. The harvest kept the 13
answers it had streamed, which is the mechanism working; the sizing was not.
Two rules. A sample with less than ten seconds of work above the fixed start is not extrapolated
from, because it carries no information about cost per visit. And a budget may double per portion,
never more: the sizing may still be wrong, but by at most one factor of two, which a kill undoes.
1,423 tests pass, nineteen skipped; the sizer control asserts both rules.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The warning once read 22126 of 22125 requests answered in parts, because the census rides the
answer under its own key and was counted as a request. An instrument that miscounts by one casts
doubt on every number beside it.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Every long run mounts src into a container, and mounting the working tree is a live mount: edits
made during a multi-hour run are picked up mid-run, and a measurement whose code changed underneath
it is not a measurement of anything. A five-hour PHP transfer replay was lost that way today.
The export has to be checked too. git archive piped into tar once produced a tree missing the whole
ontology -- every tracked file after groovy alphabetically -- and reported success, because tar
status in a pipeline was never read. Every scan on that tree died at its first fact load and looked
like a slow run for fourteen minutes.
So: archive to a file, extract, count against git, and refuse an export without the ontology.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The joern-gated check passes on the real engine: the taint query streams one line per request, and
the comment-sink and literal-destination controls hold under the streamed form. Two defects the work
exposed are recorded as fixed -- the unportioned evidence pass, and a harvest that read a timed-out
pipe before killing its writer -- and one bypass is recorded as a limit rather than fixed: the reuse
layer re-query of missing ids calls the backend batch directly around the sink-weighted portioning.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The evidence pass bypasses the sink-weighted portioning by design: it is the pass that PRODUCES the
weights, and per request it is cheap, 17,700 answered in 44 s. It was still one all-or-nothing batch
protected only by the ceiling. On a plugin push transaction that batch is 22,125 requests, and under
the CPU and memory contention of concurrent test runs it exceeded the ceiling and cost the whole case.
It now runs in portions of 4,000 requests, roughly ten seconds of work behind one JVM start, with
answers merged and the census kept from the first portion that carried it. Streaming keeps what a
killed portion finished; portioning keeps that kill from being the entire pass.
Task 13.3 records the attempt that exposed this honestly: the case deadline was exhausted with no
artifact, and the failure was mine twice over -- the container mounts src live and the backend was
edited mid-run, and the evidence pass was unportioned. Neither is the algorithm. The rerun uses a
frozen export of the committed source with per-invocation logging.
1,423 tests pass, nineteen skipped; mypy clean.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
A hard per-invocation ceiling is all-or-nothing. A batch killed at 301 s lost every answer it had
already computed, and the retry paid a fresh JVM start per part to ask them all again: measured, 116
requests killed at 300 s, then eight restarts carrying the same everywhere-sinks in every part.
Three coordinated changes make portioning, not the cap, the thing that governs cost.
The taint query STREAMS. The census first, then one line per request as it is answered, flushed as
it goes, inside the unchanged fence. The other queries do not stream and need not; the driver
reads both forms, and a legacy single document parses exactly as before.
The driver HARVESTS a kill. The process group is terminated first -- a first cut read the pipe
before killing and a pipe whose writer is alive never reaches end-of-file; the suite own
hanging-engine control sat on that read for twenty-eight minutes -- then the pipe is drained and
every complete line becomes an answer, marked partial. The retry asks only the remainder.
Portion sizing ADAPTS. After each portion the observed seconds per sink visit, less the fixed
start, resizes the rest toward a 120 s target; a portion that did not answer halves the budget
rather than being fitted, because its true cost is unknown and above the ceiling. A portion cut
down to fit puts its remainder back at the front of the queue.
A census LINE carries nothing but the census. A first cut misread a legacy document that carried the
census beside its answers as a census line and dropped every answer it sat beside; a control caught
it. Task 7.8 in contributor-scan.
Verified: 1,423 host tests pass, nineteen skipped, including new controls for the assembler in both
forms and under a kill, for a retry that asks only the remainder, and for the sizer. Not yet
verified: the joern-gated streaming check and the plugin measurement, which wait for the transfer
replay to free the machine and are stated as open in the task.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Detection is not transfer, and the status says so: the comparison run is what decides M3. But the
target that task 13.2 could not reach for months is now found, and the reason is worth keeping where
the next reader will see it -- nothing about detection changed, the population became affordable.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
classes/class.memberorder.php:936:getMemberOrderByCode, injection. A value concatenated into SQL with
no prepare, which is the declared M3 target for PHP, found for the first time.
Nothing about detection changed. The population became affordable: tier-zero pruning scoped to its
partition, batches budgeted by the sink work they imply, a per-query timeout no longer cancelling the
scan, and a reserve kept for arbitration. Before those this population completed zero questions at
every budget tried.
At 500 regions with a 3,600 s deadline: 271 of 406 questions completed, 213 findings, 2,950 s, and
eight findings in the target file including the target itself.
The earlier bounded attempt failed for a reason no budget increase could fix -- 25 regions of 4,461
is 0.6 percent of the population and the target was never asked about -- so this sizes the replay
before spending hours on it. One scan at this budget is 2,950 s, a push transaction is two scans plus
discovery and preparation, so the three declared comparisons are roughly five and a half hours.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
A census that reports what it found cannot say whether a defect it missed was examined and cleared or
never looked at, and that is the difference between a negative and a silence. It is also how a
bounded run budget gets sized without guessing: task 13.3 needs to know at what population the
declared PHP target enters scope, and asking the record is cheaper than binary-searching with
forty-minute scans.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
PMPro at 25 regions, which completed before this work and still does: 27 questions completed and 19
findings before and after, injection 1 and output encoding 18 in both. The batching changes what a
large population can afford and nothing about what a small one answers.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
On the 500-region population where every earlier run produced nothing: 153 of 406 questions completed
and 125 findings, inside the deadline. 380 requests carrying 5,807 sink visits split into 11 batches,
each answering in 80 to 197 s, none near the 300 s ceiling. Every family that can speak on this
subject now does, injection included, which is the one holding a true positive here.
Four defects, each hidden by the one before it, and three of them one rule.
Batches sized by request count, when cost is per matched sink.
Packing heaviest-first, which starved injection of all 114 of its questions.
Any per-query timeout cancelling the whole scan, abandoning batches with 33 minutes left.
No budget kept for arbitration, which removing that cancellation exposed: rows are not findings.
The reserve had to be checked per BATCH. Checked between query kinds it changed nothing at all,
because one kind is a single loop iteration that runs every one of its batches inside it.
What it does not claim: 253 of 406 questions still went unanswered and one batch still records a
timeout; the raw finding count is dominated by output encoding, the family already measured to be
imprecise on PHP; and the reserve share of a fifth is a first value, not a tuned one.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The reserve was computed once and checked between kinds, and one kind is a single iteration that runs
every one of its batches inside it. So taint spent the whole budget and the reserve only stopped the
cheap kinds queued behind it: 0 of 406 questions completed, 2,435 s of a 2,700 s deadline in queries,
identical to having no reserve at all.
The granularity of a budget check has to match the granularity of the work it guards. It is now
checked before each batch, and the batches left unasked are logged rather than silently dropped.
1,420 tests pass, eighteen skipped.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Querying fills rows. Arbitration turns them into findings and the outcomes are assembled from that,
and neither costs the engine anything -- so a scan that spends its whole budget on queries reports
nothing at all, however many of them answered.
Found by accident, which is the honest way to tell it. A per-query timeout used to cancel the whole
scan. Removing that cancellation was right on its own terms and made the measured result worse: the
query phase then ran the full 2,700 s deadline to exhaustion and completed 0 of 406 questions, where
the cascade had stopped it at 958 s and left time to arbitrate 78 findings. The cascade had been an
accidental budget guard. This is the deliberate one.
The query loop now stops issuing batches with a reserve in hand: a fifth of what was left when
querying started, a sixty-second floor, and never more than half. The cap is not decoration -- held
back without it the floor swallowed a whole small budget and the query loop never ran at all, which a
control caught. A scan with a fifth of a second to spend must still spend it.
What the loop skipped is recorded as query_budget_reserved with the kind and the request count, not
left to look like a query that failed.
1,420 tests pass, eighteen skipped.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Two different timeouts reached the same handler and got the same consequence. If the SCAN deadline is
gone, cancellation is right: stop everything promptly, which is what the push two-second gate
measures. If a single query merely exceeded its own per-query ceiling, the scan may have most of its
budget left and every other batch is independent and cheaper -- and cancelling took them all.
Measured on Paid Memberships Pro: one batch of 116 requests hit a 300 s ceiling 734 s into a 2,700 s
scan, and the four batches behind it returned in 0.0 s unanswered with thirty-three minutes to
spare. The handler already distinguished the two cases in the reason it recorded, deadline_exhausted
against process_timeout, and then set the cancel deadline in both.
Fourth instance this week of one rule, now written in the design: a failure is owned by the narrowest
scope that caused it.
1,420 tests pass, eighteen skipped, including the cancellation gate.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
A taint batch costs what its matched sink NODES cost, because reachableByFlows is asked per sink.
Measured at a fixed 100 requests on one plugin graph: SQL injection 147 s with six declared sinks,
path 194 s with sixteen, output encoding 704 s with seven. The declared count does not predict cost
and the request count does not predict cost.
So batches are budgeted in sink visits rather than requests, using the count the evidence pass
already produced: a family whose sinks are rare rides in one batch, and a family whose sinks are
everywhere is split until it fits. A request over the budget on its own gets its own batch rather
than being dropped, because the scan job is to report that it is expensive, not to decide it is
unaskable.
Measured on Paid Memberships Pro at 500 regions, where every earlier run produced nothing at all:
380 arbitration requests carrying 5,807 sink visits split into 12 batches, every one answered,
heaviest 103 s and none near the 300 s ceiling. 144 findings where there were none.
The order is the ranker and must stay the ranker. A first attempt packed heaviest-first, which packs
better and analyses worse: the expensive output-encoding batches ran first, spent the deadline, and
left injection with 114 questions asked and none answered -- the one family holding a true positive
on that subject. A deadline always cuts a tail, and the tail it should cut is the one the ranker put
last.
1,420 tests pass, eighteen skipped.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Open since September and re-measured nine times. The cost of a taint batch is the number of CALL
NODES a family sink names match in the repository. Not the request count, not the declared sink
count, not any request parameter. reachableByFlows is asked per matched sink, and PHP
soutput-encoding sinks are echo and print, which a WordPress plugin writes thousands of times.
Three controlled sweeps on one graph, built once.
Batch size exonerated: 400 requests answer in 170 s, and cost per request FALLS with size because
roughly 70 s is fixed JVM start and graph load.
Request parameters exonerated: at 200 requests the full production shape, call depth 3 with
parameter sources, costs 221 s against a 150 s baseline.
The family is the variable: at the same 100 requests, SQL injection 147 s with six declared sinks,
path 194 s with sixteen, output encoding 704 s with seven.
And the driver named its own expensive step once it was asked to: 2,435 evidence requests in 45.5 s,
then 315 arbitration requests unanswered at 1,200 s, then a split abandoned for want of time.
It survived since September because every reproduction outside the driver carried the SQL sinks --
the family the declared target belongs to, and the one family that is cheap on this subject. Nine
hypotheses were eliminated by re-measuring the cheap case.
Splitting never rescued it because a failed batch is split by REQUEST COUNT and each part carries the
same everywhere-sinks. contributor-scan 7.7 carries the fix: budget a batch by the sink nodes it
implies, using the count the evidence pass already computes, and report a family whose sinks are
everywhere as expensive rather than as failed.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Nine hypotheses about the PHP query cost have now been eliminated by rebuilding the request outside
the driver: batch size, call depth, parameter sources, hook table, argument length, sharding,
dataflow cost, the malformed-CPG bug and the engine version. Every one of them answered in under
four minutes while the driver spent whatever ceiling it was given.
The reason the guessing continued is that a scan issues several invocations and the record could not
say which of them burned the budget. It now logs the query kind, the request count, the elapsed time
and whether it answered, for the whole batch and for each part of a split retry, including the part
where a split is abandoned for want of time.
This is task 16 applied to the backend rather than to a harness: an instrument that cannot name its
own expensive step turns a measurement into a guess, and this one has been a guess since September.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Four census runs on this subject spent whatever query ceiling they were given: 363 s of 300, 1,255 s
of 1,200, 1,874 s of 1,800, at question counts of 2,526 and 406. Cost that tracks the budget rather
than the work is not per-question cost, and tier-zero pruning cutting the count six-fold changed
nothing. A census runs one batch, so no census could answer whether the batch itself scales.
One graph, built once, five batch sizes, every one answered:
25 requests 71.4 s 2.86 s each
50 requests 76.0 s 1.52 s each
100 requests 155.4 s 1.55 s each
200 requests 166.7 s 0.83 s each
400 requests 169.7 s 0.42 s each
Sublinear, and roughly 70 s of it is fixed JVM start and graph load. Four hundred dataflow requests
answer in 170 seconds on the graph production cannot finish 406 on.
So the difference is in the request PARAMETERS. The probe sent callDepth=0 and no parameter sources;
production sends callDepth=3 with parameter sources on every entry point, plus a hook table, a
dispatch list and context evidence. Task 13.2 recorded in September that every reproduction outside
the push path answered in under a minute and the difference was not known. Size is now removed as a
candidate and a four-variant probe is running to isolate the rest.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The mechanism already existed. A question whose evidence vector says no sink of its family is in
reach cannot produce a flow, and tier-zero pruning defers it. That was switched off for the whole
scan whenever any of twelve degradation reasons appeared, and a multi-language repository always
carries two of them, so the measured plugin arbitrated every question it could ask. Third instance
this week of one blast radius, and the invariant written into the design on Monday named it.
A prune blocker that names a partition now withholds pruning from that partition questions and from
nobody else. cross_partition_semantics_unresolved leaves the blocker set entirely, for the reason it
left the integrity gaps: a PHP family sink is PHP, so a second language cannot be why its vector saw
none.
Measured on Paid Memberships Pro. At 25 regions arbitration falls from 127 questions to 34 with 93
recorded deferred as tier_zero, and 19 findings before and after, identical family by family. At 500
it falls from 2,526 to 406 with 2,120 deferred.
It is not sufficient, and that is the useful half. The 500-region run still fails in the same way at
the same cost, because 406 questions at roughly one and a half seconds each still exceed the
300-second per-batch ceiling. This lever moved the volume; the ceiling is a separate limit.
The census now records what a scan skipped and why, per family, so a cheaper scan and a narrower one
stop looking identical: a family whose every question was pruned reports no sink of this family in
reach rather than region offered, no question asked.
1,420 tests pass, eighteen skipped.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
NodeGoat models 18 of 175 distinct call names, covering 12 percent of 1,185 calls. That share is not
a score: most of what a program calls is not security-relevant, and a high number would mean the
tables were too loose. It is a baseline to move deliberately.
The top product candidate is res.render, 23 calls with five in a method that reads untrusted input.
Task 14.3 reasoned its way to that same gap by hand and declined to model it as a flow sink; the
instrument found it in one run, which is the validation that matters. It also surfaced Math.random in
the user data-access module, and weak randomness is a weakness class this ontology has no family for
at all -- so no family census could have found it, because the family list is itself the blind spot.
That is the kind of gap only a coverage instrument finds.
It had to be taught what is not an API. The first run ranked _tmp_3.push and __ecma.Array.factory
first, which is how the frontend lowers a destructuring and an array literal, and a Cypress suite and
a Gruntfile held four of the next five. Both are separated now, because noise at the top of a
worklist is how a worklist stops being read.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Five of seven families established nothing in the family census, and every one failed for an ontology
reason with the flow engine ready and nothing to aim at. Each was found by investigating one family
at a time over days. vocabulary.sc asks it once: census the calls, subtract everything any fact table
names, rank the remainder by how often it is called and whether it sits in a method that reads
untrusted input. It needs no dataflow, because the structural pass already walks every call.
The harness reads its token set from the SPECS rather than from the TOML, so it measures what the
analyser actually consults: a fact the loader drops is not part of the ontology however neatly it is
written. Ontology sizes today are 152 tokens for JavaScript, 167 for Python, 84 for PHP.
Both carry the constraint the maintainer set: the output is a candidate list, never an ontology. A
name becomes a fact only when someone resolves it to a library API, states the weakness class and
records provenance, because adding a name because a subject called it is how a general-purpose tool
becomes a fixture of its own benchmark.
Also records what the bounded PHP transfer attempt found. At 25 regions the first case now runs to
completion and writes a full artifact in 1,706 s, where at 100 it had exhausted a 2,400 s deadline
with nothing. But 25 of 4,461 regions is 0.6 percent of the population and the declared target was
not among them, so the question was never asked. Task 13.3 therefore depends on 7.3, skipping
arbitration where the evidence says there is nothing to find: raising the budget is already measured
to fail, and making most of the budget unnecessary has not been tried.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Named by a week in which three separate causes looked identical as one count of unresolved. The
census reported 19 findings and 0 completed questions side by side without complaint, a stale image
measured the engine a bug had been diagnosed against, and a partition fix looked applied while an
unscoped copy of the same gap kept demoting everything.
Every harness record should carry the counts that disambiguate its failure modes, the degradations
whole rather than by reason, and the engine and ruleset identities actually used; and each harness
should assert its own consistency, because findings above zero with completion at zero is a
contradiction an instrument can notice faster than a person.
This was missed from the previous commit by an escaping error in the edit, not by intent.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The source, sink, sanitizer, operation, discharger and layout rows are not a pattern list. They are an
ontology of program elements and their security relations, and nearly all of this tool accuracy lives
there: the family census found five of seven families establishing nothing, every one for an ontology
reason with the flow engine ready and nothing to aim at.
The hook is general-purpose, not application-specific. The ontology describes libraries, frameworks
and language constructs; it does not describe repositories. An entry names an API and is justified by
what that API does, carries provenance and a weakness class, and may not encode a path or identifier
peculiar to one project -- a plugin bundled library tree was measured and declined on exactly that
ground. A measured gap is a candidate, never an entry: accretion by subject is how a general tool
becomes a fixture of its benchmark.
contributor-scan owns the ontology, so its design carries that statement and a new group 7 makes
growth measurable rather than anecdotal: report what a repository calls that nothing models, key
sanitizers to the weakness they prevent, skip arbitration where the evidence says there is nothing to
find, share one matcher across the queries, require a degradation to declare its scope, and commit
golden findings so a silent change cannot pass.
pre-push-safety-net carries the general-purpose test for its own reviews, and a task for harnesses
that report the cause of their own failure -- named by a week in which three separate causes looked
identical as one count.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Task 13.4 found that a second language in a repository cost every question its completion, and so
cost every finding its admission, on the declared v0.1 target: a WordPress plugin is PHP plus its
admin JavaScript. Neither subject that passes today could reveal it, because both hold exactly one
language. A population of single-language repositories would qualify a capability that fails on the
product own target.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
_blocking_degradations already exempted declared exclusions. It now also ignores a gap another
language partition raised, because a JavaScript file missing from the JavaScript graph cannot make a
PHP answer wrong. Treating it as though it could left a WordPress plugin -- PHP plus its admin
JavaScript, which is every plugin -- unable to admit a finding it had already established.
A gap that names no partition still reaches everything, and so does every gap when the claim own
language is unknown, because unknown scope is not evidence of independence. The control asserts all
four directions.
With this and the scan fixes, task 13.4 is verified on the subject that motivated it: PMPro completes
120 of 127 questions where it completed none, its 19 findings unchanged, and the seven still
unresolved are the JavaScript partition own questions, which is the correct answer.
1,420 tests pass, eighteen skipped.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The scoping fix looked applied and was not. The same census gap is raised in TWO passes, arbitration
and evidence, and only the first carried the partition it came from, so an unscoped copy kept
demoting every question in the repository. One key in one dict.
What found it was the record, not the code: the census now prints each outcome reason rather than
only its status, and three separate causes had been looking identical as a bare count of unresolved.
Measured on Paid Memberships Pro at 25 regions: questions completed goes from 0 to 120 of 127, with
its 19 findings unchanged. The seven still unresolved are the JavaScript partition own questions,
which is correct, because the four missing files are its files and its answers are the ones that
could be wrong.
Still open, and recorded rather than implied: the push policy _blocking_degradations exempts declared
exclusions but does not yet respect a partition, and a post-hoc diagnostic copy carries no language,
so a JavaScript gap would still block admission of a PHP finding.
1,419 tests pass, eighteen skipped.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
A missing JavaScript file cannot make a PHP answer wrong. A census gap now carries the partition it
was raised for, and reaches only that partition questions. On the measured plugin four JavaScript
files -- a webpack build output, a minified select2, a build config and one source file -- had taken
the admissibility of 4,425 PHP regions with them.
Two controls exercise the real boundaries rather than injecting a reason, and both were confirmed to
FAIL with the old classification restored, so they guard what they claim to.
And the rule is now in the design, because this was the fifth instance found and fixed one at a time.
Two invariants, eleven instances between them:
A degradation is owned by the narrowest scope that caused it. Vendor exclusion as a global veto,
line ambiguity inherited by every question, an empty scope blocking a sibling comparison, a language
boundary demoting every answer, a census gap demoting every answer. The fourth and fifth cost the
declared v0.1 target its entire admissibility, and neither passing subject could reveal it because
both hold one language.
A token matches the thing it names, not text that contains it. gets inside fgets, resolve inside
resolveUrl, user inside users, a sink word inside a comment, a dotted setting on its last segment,
a flow query reading the receiver.
Each carries a review test: a new degradation must state the scope it reaches and justify demoting
that far, and a text match must be bounded AND confined to the part of the node that names the callee.
1,419 tests pass, eighteen skipped.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Membership of GRAPH_INTEGRITY_GAPS should turn on whether a gap can make a reported answer WRONG,
not on whether it cost coverage. An unparsed file may hold the sanitizer that would have cleared a
flow this scan reports, so it belongs there. A flow this tool cannot follow from one language into
another can hide a finding and never invent one, because a PHP sink is sanitised in PHP.
cross_partition_semantics_unresolved therefore moves to DECLARED_EXCLUSION_GAPS. It touches exactly
two places, both of which already honour the distinction: the outcome demotion in scan.py, and
_blocking_degradations in the push policy, whose docstring already says a declared exclusion is not
one of them. The reason stays published in the scope unresolved boundaries either way, so the limit
is still reported; the class decides only whether every answer in the repository is demoted.
This corrects the task note written earlier today, which said not to reclassify on the grounds that
it would claim cross-language flows are out of scope rather than unresolved. That was a misreading
of the class.
PMPro still completes none of its questions, and the measurement now names why: the JavaScript
partition expected 36 files and holds 32, so partition_file_census_incomplete fires and is still an
integrity gap. The four absent files are js/blocks/blocks.build.js, js/jsapi.js, js/select2.min.js
and webpack.config.js -- a build output, a source file, a minified third-party library and a build
config. A bundled select2 costs 4,425 PHP regions their admissibility. Same over-broad blast
radius, third instance of one principle in this thread, and the fix direction is recorded.
The census harness now records each degradation whole rather than only its reason, because a
partition census that reports files missing carries WHICH files and without them the gap is a label
rather than a lead.
1,417 tests pass, eighteen skipped.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
No PHP question is ever marked completed, and PHP was never the variable. partitions.py raises
cross_partition_semantics_unresolved whenever more than one language partition exists, that reason
is a member of GRAPH_INTEGRITY_GAPS, and a graph-integrity gap demotes every completed outcome in
the scan. Admission requires a completed outcome.
The evidence is one column wide. NodeGoat is JavaScript alone and completes 299 of 299. VAmPI is
Python alone and completes 35 of 35. PMPro is PHP with 36 regions of bundled JavaScript and
completes 0 of 127 and 0 of 520 while establishing 19 and 43 findings. NodeGoat own degradation,
vendor_semantics_unresolved, is a DECLARED exclusion rather than an integrity gap, which is exactly
why it does not demote.
This lands on the declared v0.1 target. A WordPress plugin is PHP plus its admin JavaScript, so
every one of them is multi-language, so on the target this tool was built for it can detect defects
and never admit one. Neither subject that currently passes could reveal it, which is why a census
across a third subject was worth running.
Recording the boundary is right: a flow from PHP into JavaScript is semantics the partitioned graph
cannot follow. Demoting every question is not, including one wholly inside a single PHP file. Task
12.3 already fixed this bug class one level down by making a gap question-owned so it could not
block another question comparison; the same principle applies to a partition boundary. Reclassifying
the reason as a declared exclusion is explicitly the wrong fix, because that would claim
cross-language flows are out of scope when they are unresolved.
Task 13.4 rewritten with the diagnosis, and the milestone amendment now ranks it with M2 rather
than behind it: a narrow JavaScript-only release can proceed without it, the WordPress target
cannot proceed at all.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The replay hardcoded 500 regions, which on a 673-file PHP plugin asks 2,526 questions and fits no
ceiling this project sets. The budget is now an argument, defaulting to 500 so every earlier
measurement keeps its shape.
It bounds the RUN, never the repository: the artifact census still reports what was left
unexamined, and a bounded population establishes transfer rather than coverage. Task 13.3.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Four decisions, recorded after the family detection census and the PHP correction. They change
sequence and declared scope; they change no acceptance threshold and no owner boundary.
Close M3 at a scale whose questions complete, before anything else. The not-established PHP record
came from two instrument defects rather than from the analyser, and bounded to 25 and 100 regions
PMPro completes with no timeout and establishes a true-positive SQL injection. Tasks 13.3 and 13.4
carry the replay and the question-completion gap, the second because admission reads outcomes and
M4 measures completion at 95 percent.
Reserve the untouched M4 population now, in parallel. M4 already permits preparation before the
frozen candidate exists and it is the longest lead-time item on the path. Task 15.1.
M2 is the only engineering item left and cannot be scoped away: a changed-code transaction spends
its whole budget in the build, and meeting the latency gate by analysing less is explicitly not
the same result.
Declare the v1 advisory scope as the families whose claims can be ADMITTED, which requires the
entailed rung: injection, untrusted destination and configuration. Access control is excluded
because on an application that splits route from data access the obligation is carried and a
carried obligation corroborates by design, so the family would ship as silence. Task 15.2.
The risk the amendment does not remove is stated with it: every number so far comes from subjects
used to build the analyser, one week of examining two of them surfaced seven false positives, and
the first independent evaluation should be expected to fail.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
PHP is not silent. Paid Memberships Pro establishes findings, including a true positive, and
this project's own instrument is why it looked otherwise.
The census harness ordered its verdict on completion before findings, so a family with eighteen
findings and no completed question reported "asked but no question completed". Findings are now
checked first: a question-outcome count is bookkeeping and cannot hide the thing being censused.
NodeGoat and VAmPI were never affected, because they complete every question and their verdicts
reached the findings check. The scan summary now also carries the total findings and the outcome
status counts, so the two numbers can be seen disagreeing instead of one silently winning.
The second mistake was mine rather than the harness's: only the 500-region runs had been looked
at, which are the ones that time out.
What PHP actually detects on PMPro. At 25 regions, 19 findings in seven minutes with no timeout;
at 100 regions, 43 findings in twelve minutes with no timeout. Among them adminpages/
discountcodes.php:749, where sanitize_text_field($_REQUEST["s"]) reaches
$wpdb->get_results($sqlQuery, OBJECT) through `$sqlQuery .= "WHERE code LIKE '%$s%' "` with no
prepare. That is the class of CVE-2023-23488, which php.toml's own comment names as the reason
those WordPress sanitizers are kept out of the sanitizer list. The prediction and the measurement
agree.
The precision cost beside it is measured too: output encoding reports eighteen findings at 25
regions and the three sampled are all properly escaped, two with esc_attr and one coerced with
intval. Those escapers are absent from a sanitizer list that is flat across families, because
none of them stops SQL injection. Keeping the injection finding costs this family its precision.
The scale limit is roughly one to two seconds per question. 25 and 100 regions complete cleanly;
500 regions asks 2,526 questions, needs more than the 1,800-second ceiling and is killed.
Four things are measured NOT to be the problem: the malformed-CPG bug (fixed in 4.0.625, verified
on the real trigger file), the dataflow overlay (42 s on the full 637-file graph), the engine
version (4.0.625 and 4.0.631 indistinguishable), and the bundled Stripe, Braintree and Twocheckout
SDKs under includes/lib that the vendored list does not cover -- that was my hypothesis for the
cost and the overlay measures 42 s with them and 37 s without, so it is refuted.
What remains is bookkeeping, not detection: questions_completed is zero in every PHP run including
the ones that find things, with cross_partition_semantics_unresolved and
partition_file_census_incomplete present throughout. The admission policy reads those outcomes.
1,417 tests pass, eighteen skipped.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The graph bug is fixed and was never what these runs were hitting. joernio/joern#6281, this
project's own report, is a PHP `global` inside a closure giving a node two AST parents, which made
the dataflow overlay throw and cost the whole graph. Filed against 4.0.623, fixed by #6270 in
v4.0.625, which the image has pinned since before any measurement recorded under task 13.2.
Verified today on the real trigger rather than a transcription of the repro, which does not
reproduce: PMPro's includes/fields.php builds and applies the default overlays cleanly on 4.0.625
and on 4.0.631, files=2 methods=158, no ReachingDefPass assertion.
What remains is runtime. A taint batch of 2,526 questions over the 673-file checkout does not
complete in thirty minutes. Raising the query ceiling six-fold, from 300 to 1,800 seconds, changed
nothing but how long the failure took: query time went from 363 s to 1,874 s, and zero questions
completed in both. The eight-way split retry did not rescue it either, finishing its parts in
about three minutes against a deadline with 3,300 seconds still on it, which is worth its own
look.
The engine pin stays at 4.0.625. An image on 4.0.631, today's release, was built and measured and
is indistinguishable on this subject: 627.7 s against 619.1 s, 363.4 s against 367.3 s of query
time, zero completed in both. There is no demonstrated benefit to weigh against re-verifying every
JavaScript and Python measurement on a new engine. Should that change, the bump is three values
rather than a port: the upstream AstGenRunner.scala is byte-identical in 4.0.631 and its patch
anchor still appears exactly once, so only the jar path, the jar checksum and the source URL tag
move. Both are recorded.
Also closes task 14.5. Neither prototype pollution nor deserialization has a subject that can
answer, each for its own reason. Deserialization's mechanism exists on exactly one available
subject and that subject cannot be queried at all. Prototype pollution has no available subject
containing the mechanism, so its ability to answer is established on a control instead.
1,417 tests pass, eighteen skipped.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Across four WordPress plugins and 1,164 PHP files there is exactly one deserialization site, and
it is spelled maybe_unserialize. The bare token never reached it, and correctly so: the sink
matcher is word-bounded and the character before unserialize inside maybe_unserialize is a word
character. A token a repository never spells is a family that can never answer, which is what the
2026-09-19 census recorded for this one. maybe_unserialize is a real entry point rather than a
safe wrapper: it calls unserialize whenever the string looks serialized.
Also adds the prototype control. That family had never established anything on any subject, and
its only census report was the word `set` inside a comment. No repository available to this
project contains the mechanism: the only first-party matches on the Node subject are
app.set("view engine", "html") and its sibling, Express settings whose arguments are literals. So
the control demonstrates what the family can do, on a merge of the request body into an object,
and asserts the Express setting is not reported alongside it.
Corrects the PHP record under task 13.2. joernio/joern#6281, this project's own report, is a PHP
`global` inside a closure producing a node with two AST parents, which made the dataflow overlay
throw and cost the whole graph. It was filed against 4.0.623 and fixed by #6270 in v4.0.625,
which the image has pinned since before any measurement recorded here. Verified today on the real
trigger rather than on a transcription of the repro: PMPro's includes/fields.php, the file the
original bisection found, builds and applies the default overlays cleanly on 4.0.625 and on
4.0.631 alike. What remains under that task is a runtime failure and must not be re-diagnosed as
the graph bug.
1,417 tests pass, eighteen skipped.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
NodeGoat's server.js configures a permissive session at line 78 and disables template
auto-escaping at line 135, both inside the same function. The arbiter returned one verdict per
question, so the escaping defect that task 14.3 added was detected on every run and reported on
none: which of two real defects a contributor saw depended on where in the file it sat.
Configuration now returns one verdict per setting whose value the model could read. The pipeline
already emitted one finding per entailed answer, so this arbiter was the only place still folding
them to one.
Three boundaries are drawn rather than assumed.
- A setting whose value is COMPUTED stays one verdict per region. That band is a question for the
judge rather than a finding, and returning every undecided setting would multiply model calls
for claims the graph did not establish.
- A call carrying two permissive literals is one finding. cors({origin: true, credentials: true})
is one misconfiguration, not two.
- Config verdicts now carry a path:line:function location. Without one they shared the region's
identity and the deduplicator kept a single finding, so the plural answer collapsed straight
back to one. That is the same gap dominance carried until its findings stopped arriving with no
line at all.
Dominance is left answering once per region, and that is settled rather than pending: its claim is
that a region contradicts itself, so the region is the unit and a second verdict would restate the
same inconsistency. The pipeline now says so where it used to call this a known gap.
Measured: NodeGoat's config_secrets goes from one finding to two, server.js:78 for the session and
server.js:135 for the disabled escaping, with the applied marked.setOptions fix between them
staying silent. VAmPI is unchanged and no other family moved.
1,417 tests pass, seventeen skipped; thirteen Joern-gated query tests pass in the image.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Two of NodeGoat's three corroborated claims were correct code. `const { userId } = req.session`
lowers to a temporary and then a field read, so nothing in the graph spells session.userId by the
time the value reaches dao.getByUserId(userId, ...), and the constraint the handler really applies
was invisible.
The arbiter now walks back three hops over the method's own assignments from the names the
operation is GIVEN, and req.session joins the identity sources. The token is only safe because of
that requirement: what discharges an object-level obligation is that the value passed to the
operation comes from the authenticated context, not that a session is mentioned nearby. A handler
that reads the session for logging and keys its query on a path parameter is the bug this family
exists for, and it stays unguarded.
Two exclusions the measurement forced, each caught by a page whose whole purpose is the leak it
demonstrates.
- A callback is not a constraint. Taking identifiers from the whole argument subtree credited
NodeGoat's memo listing with a discharge, because memosDAO.getAllMemos((err, docs) => ... userId
...) reads every memo in the collection and only RENDERS the session's user. Method references
are excluded from the argument names.
- An assignment is not a dominating guard. The session read dominates the query, so that clause
credited it instead and the memo listing went quiet again. An assignment is a read of the
authenticated context, not a check applied to it, so operator calls are excluded there -- the
same exclusion the sink matcher needed. The leak stays reported.
On NodeGoat displayContributions and displayProfile go silent, the allocations insecure direct
object reference, both benefits pages and the memo listing stay, and the login and signup handlers
become honestly unguarded rather than accidentally cleared by a callback's text. Six corroborated
where there were seven, and a better six. VAmPI is unchanged at two entailed findings.
The sibling scope is decided by measurement and kept at the file. On NodeGoat the region's own
file entails two handlers, both public routes and both false, and no true defect at all. Every
handler in the application entails six: four true, and the same two public routes. Both scopes
carry the same false positives, because neither can tell a public route from a protected one --
a semantic question that is already the corroborated band's residual. With the carried rung capped
the scope changes no verdict, only the witness, so widening it would buy a repository-wide walk
per question and no precision. A public-route discriminator would change that; the file scope is
not what holds this family back.
1,415 tests pass, sixteen skipped; thirteen Joern-gated query tests pass in the image.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
NodeGoat's documented insecure direct object reference reads with
allocationsCol.find(searchCriteria()), and `find` was absent from an operation table holding
findOne, findById, findAll and findByPk. The obligation was missing at the commonest read there
is, so that defect raised nothing at any point in the pipeline.
It was absent for a good reason, and the reason is the argument, not the name. Measured on
wp-statistics, a WordPress plugin that ships jQuery: its assets hold 88 calls named find, of
which 70 pass a jQuery selector, 13 pass a predicate to Array.prototype.find and 5 pass a
selector built at run time by a template literal or a concatenation. None is a collection read.
So the obligation is claimed only where the first argument has the shape of a query document.
The operation fact states which argument with query_document_arg, and the arbiter that can see
argument shapes decides it: no arguments at all, an object literal, or a builder call are
claimed; a method reference, a literal, an operator call and a bare identifier are not. Each
exclusion is one of the measured classes above rather than a guess.
Zero of those 88 calls became an obligated operation, and the zero is measured rather than
empty: the same run's census reports 60 files and 4,552 methods, and the files holding those
calls are in it.
On NodeGoat all three find calls are collection reads and all three are claimed, which raises
the obligation at four more handlers -- the allocations handler that takes userId from req.params
on an authenticated route, the benefits pages whose isAdmin guard is commented out in the route
table, and the memo listing. Seven of fifteen handlers now reach a verdict, all corroborated,
none reported without a judge, and the census is unchanged on both subjects.
A bare identifier is deliberately not claimed: col.find(query) and arr.find(pred) are the same
shape and neither repository measured holds one, so this is a stated false negative rather than
an unmeasured false-positive risk.
1,415 tests pass, sixteen skipped; twelve Joern-gated query tests pass in the image.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The census measured this family completing 35 questions on NodeGoat with no obligation raised
anywhere: every modelled data operation lives in app/data/*-dao.js, none in a route handler
file, and operations were scoped to the region's own file. The family had nothing to be right or
wrong about.
The obligation now follows the one named call the handler writes, out of the region's file and
no further. How it is followed is the point. jssrc2cpg does not resolve
allocationsDAO.getByUserIdAndThreshold(...) to the DAO body: the callee is an external stub with
no code. That stub's fullName records where the member was written, so the implementation is
reached by the graph's own provenance rather than by a repository-wide name guess, which is the
false positive the file scope was closed against. A control asserts it: a third module defining
a member of the same name that nothing imports is not attributed.
A row is attributed to the region's DECLARED function, which is what lets a question about
displayAllocations match a graph that holds a <lambda>. A carried row is also checked for a guard
at the CALL, because that is where a handler establishes who is asking. The method holding a
carried operation joins the question's context scope, so the module holding the query cannot
change under a claim that depends on it without the change being attributed. The witness names
both sites and the finding is located at the call, which is the line a contributor changed.
A carried obligation corroborates, it does not entail, and that was measured rather than
assumed. Entailing it reported handleSignup, which looks a user up by name to check the name is
free during registration and is public by design, because two authenticated siblings in the same
file pass req.session.userId into the same module. The entailed rung's justification is that one
FILE contradicts itself, same file and same trust context; carried, the compared operations live
in a data-access module that handlers of different trust contexts share. The corroborated band
already asks the right residual: does this operation require a check, or is the route
legitimately public?
Measured on NodeGoat: 15 handlers asked, obligations raised at zero before and six now, three
reaching a verdict, all corroborated, none reported without a judge. VAmPI unchanged at two
entailed findings, because it keeps handler and query in one file and carries nothing.
What this does not reach is recorded, not implied. NodeGoat's documented insecure direct object
reference still raises nothing, because its module reads with allocationsCol.find(...) and find
is not a modelled operation: Array.prototype.find and jQuery's .find are everywhere, so it needs
an argument-shape discriminator and its own measurement (task 14.8). Two of the three corroborated
claims are correct code whose identity read a destructuring spelled away, and the cross-file
contradiction that would entail the real defect needs a sibling-scope decision (task 14.7).
1,415 tests pass, fifteen skipped; eleven Joern-gated query tests pass in the image.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The census recorded this family completing 44 questions on a Node application and finding
nothing, which is what a client-only vocabulary must do there: all six declared sinks were DOM
sinks. NodeGoat's cross-site scripting is server-side.
Decision: the family asks about a value reaching a rendering call, and states in its own
declaration that it cannot decide template-mediated escaping. Whether res.render is safe depends
on the engine's autoescape setting and on the template's markup, neither of which is at the
call, so res.render is not a sink and the family's limits field says so. A new CWE-79 sink
covers res.write, res.end, res.send and the response.* spellings; res.json stays out because an
application/json body is not a document.
Template auto-escaping is claimed where its evidence is, as a configuration defect:
swig.setDefaults, nunjucks.configure and marked.setOptions are security settings now.
It establishes a finding: app/routes/research.js:25, model_entailed,
`req.query.url + req.query.symbol -> res.write(body)`. The handler fetches a URL the caller
chooses and writes the response body into a text/html response, so the document served from
this origin is the attacker's. The record states how coarse the step is: the path from url to
body runs through the client's callback parameter, which the graph treats as reachable from the
call's arguments, so the conclusion rests on the call's semantics rather than on what the graph
established. Five of seven families now establish findings.
Four defects were found on the way, three of them false positives this change would otherwise
have shipped.
- The permissive-value set was shared across every setting, while a boolean's polarity belongs
to the setting: true leaves the door open in cors({origin: true}) and closes it in
swig.setDefaults({autoescape: true}). Adding the template engines would have reported the fix
as the defect on the line that offers it. ConfigSpec now carries per-setting values, and
Jinja2's Environment moved out of Python's shared list for the same latent reason.
- config.sc matched a dotted setting on its trailing segment alone, so marked.setOptions would
have claimed an editor's setOptions. dominance.sc already required the qualifier.
- taint.sc asked its flow query of every argument including the receiver at index 0. On a
response sink the receiver is the response object, so res.end() -- which takes no data -- was
reported exactly like the res.write(body) two lines above it. Flows now use the real
arguments, as arity already did.
- The arbiter sorted a file's settings by line number as TEXT, so line 126 preceded line 78 and
which setting a file reported depended on the spelling of its line numbers.
Template escaping disabled at server.js:135 is detected, measured model_entailed against the
real query and the real arbiter, and still not reported: the arbiter returns one verdict per
question and that file has an earlier permissive setting. Task 14.6 carries it rather than
hiding it.
1,415 tests pass, thirteen skipped; nine Joern-gated query tests pass in the image.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The family census recorded this family completing 44 questions on NodeGoat, finding the open
redirect, and having no way to ask about the repository's documented SSRF: needle.get on a
query-string URL at app/routes/research.js:16. A thin vocabulary is a silent false negative.
One data change, no query change. The declared set now covers axios, got, needle, request,
superagent, unirest, undici and fetch as bare module tokens, plus http.get, http.request,
https.get and https.request dotted. Bare is the documented call form of each module and covers
its verb methods too, since a token matches word-bounded against the callee and axios is
bounded inside axios.get; axios.get and axios.post are dropped as subsumed rather than
unwanted. http and https stay dotted because their namespace also holds createServer, and a
bare token would have claimed every server a repository starts.
The request is now reported at app/routes/research.js:16, model_entailed, witness
`req.query.url + req.query.symbol -> needle.get(url, ...)`. This family goes from one finding
to two on NodeGoat, every other family is unchanged, and 299 of 299 questions still complete.
Measured on that graph, needle matches exactly one call and the eleven other clients match
none in first-party or vendored code, so NodeGoat shows the gap closing and cannot show those
clients' noise.
A control asserts both halves. A handler calling axios.get with a literal and needle.get with
req.query.url reports the tainted client alone, and it reads the shipped vocabulary rather than
a copy, so removing the client fails it. The CWE-601 redirect entry is untouched: a
Location-header redirect is value-shaped and stays outside what this family asks.
1,411 tests pass, eleven skipped; seven Joern-gated query tests pass in the image.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Seven vulnerability families are declared and two had been proven. The census asks each of
them, on whole checkouts of NodeGoat and VAmPI, whether it establishes anything at all, and
reports a family that answered and found nothing separately from one that was never asked.
Four establish findings: injection, access_control, config_secrets and untrusted_destination.
Output encoding, path, prototype and deserialization establish nothing on either subject. All
299 NodeGoat and 35 VAmPI questions completed, so the silences are answers.
Three of those silences are diagnosed gaps, not clean code. NodeGoat's documented SSRF calls
needle.get, which the sink vocabulary does not hold. Its XSS is server-rendered, and output
encoding declares only DOM sinks, so no question it can ask could have found it. Its two
access-control defects raise no obligation at all: measured with the real dominance query,
every modelled data operation lives in app/data/*-dao.js and none in a route handler file,
while the family scopes operations to the region's own file. Tasks 14.2 to 14.5 carry each
gap; none is fixed here.
The census also found a false positive and it is fixed. NodeGoat's only prototype report was
the word `set` inside `// set these up in case we have an error case`: the matched node is the
<operator>.assignment holding the entire 1,000-character signup handler, and sinkMatches
searched a node's whole text. It now confines the text clause to the callee and excludes
operator nodes. Fourth instance of this bug class after fgets/gets, resolve/resolveUrl and
user/users. Measured on NodeGoat's non-vendor calls, injection sinks fall 28 to 3, prototype
13 to 2 and untrusted destination 26 to 7, with no true positive lost; req.query had been an
injection sink because `query` is word-bounded inside it. Witnesses now name the sink call
rather than the assignment that contained it.
1,411 tests pass, ten skipped; the six Joern-gated query tests pass in the image, including a
new one that fails on the shape this fixed.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Paused at the maintainer's direction to return to vulnerability work, with the
state recorded rather than left implied.
Measured and eliminated: batch size, since 17,700 requests answer in 44 s with a
2.6 MB response; dataflow cost, 50 execution requests in 24 s; call depth 3 with
parameter sources, 24.7 s for 20 requests; argument length, a 16 KB hook table
against a 128 KB single-argument cap; hook callback resolution, one second of
difference with 233 hooks; and build or sharding, 79 s with no shards. Preparation
measures 273.5 s, which is real but a small share of a 3,600-second case.
Every reproduction of the failing 22,125-request batch outside the push path answers
in under a minute. The difference from the production invocation is not identified,
and the exception itself has still never been read: the backend logged a stack
trace's tail, which is frames, and the corrected extractor reports its head, which
on this engine is JVM startup noise.
Four instrument defects were found and fixed along the way, all of the same shape:
a failure detail that discarded the cause, stages that reported no cost, logging
that was never configured so the new stage lines could not emit, and a harness that
buffers stderr until a case ends.
Node and Python transfer stand. PHP stays unestablished.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Every PHP failure logged `cpg batch taint failed: dure1.java:10)`, which is the
middle of a stack frame and says nothing. A trace puts its exception on the FIRST
line and frames after it, and the backend logged the last 400 characters, so the
cause was discarded and the noise kept. Four investigations were spent on that.
Failures now report the leading non-frame lines, which is where the exception and
its message are, with the frames dropped. A control asserts an OutOfMemoryError
survives while a frame does not, and that a timeout and an empty exit stay
distinguishable.
1,411 tests passed, nine skipped.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
The stage costs added for PHP diagnosis never appeared: nothing in this project
configures logging, so the default root level of WARNING dropped every
informational line and a PMPro case ran for an hour producing none.
That is the same failure shape the project keeps relearning. A run that reports
nothing is indistinguishable from a run with nothing to report, and it is how four
PHP investigations were spent reading a later stage's timeout as the cause.
Logging is now configured from OUSAST_LOG_LEVEL, quiet by default and sent to
stderr when asked, so a hook stays silent while a diagnostic run says where its
budget went. Verified end to end: six stage lines with durations on a real replay.
1,410 tests passed, nine skipped.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Three PHP investigations were spent reading `cpg batch taint failed: timeout` as a
slow query. The query is not slow: 4,425 evidence requests answer in 30 s, 50
dataflow requests in 24 s, and 20 entry-point requests at call depth 3 with
parameter sources in 24.7 s. The production PHP build takes 79 s and does not
shard. None of that explains a case running 26 minutes without finishing.
The reason it could not be diagnosed is that nothing reported where the budget
went. A run that is killed, or that blames a later stage's timeout, left no account
of what had already consumed the transaction, and a subprocess bounded by the
remaining time reports its own timeout whatever spent it.
Each stage now records and logs what it cost as it finishes, so a killed run still
says where it was. A control asserts the stages report and that each line carries
its duration.
1,410 tests passed, nine skipped.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Retried the PMPro transfer with batch splitting, a 4500-second deadline and a
900-second query ceiling. Stopped after 26 minutes with no case completed and no
verdict, so PHP transfer remains unestablished.
A probe narrowed the cause and corrected my earlier reading of it. The evidence
pass answers all 4,425 PMPro PHP regions in ONE batch in 29.7 seconds with a 681 KB
response, exit 0, and its cost is fixed rather than per request: one request took
40.2 s and 4,425 took 29.7 s. Neither request count nor response size is anywhere
near a limit, so batch size and serialization are not the cause as I first supposed
from a single extrapolated data point.
What fails is the execution pass, which runs reachableByFlows per candidate.
The probe's own scope is recorded with it: it sent evidenceOnly=true and therefore
measured the structural pass, not the failing one. Those numbers would otherwise
read as evidence that PMPro's taint work is cheap, which they are not.
Splitting stays, because it is correct on its own terms and recovers a batch that
fails whole. It is worth noting it also makes an unrecoverable batch slower to
abandon, since each of the eight parts burns its own share of the query ceiling.
M3 remains two of three: Node established in M1b, Python established, PHP blocked
on dataflow cost for a 1,274-file repository.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
PMPro's 1,274 PHP files produced a response the engine could not serialize: it
failed inside ujson while building its own answer array, and every question in that
batch was lost with it. Three budgets from 900 to 3000 seconds made no difference,
because the size of the answer was the problem rather than the time available.
One invocation stays the first thing tried, so a working scan costs exactly what it
did. Each request in a batch is independent, so a batch that fails as a whole can
still answer in parts: on failure the requests are split and retried, and a part
that fails leaves its own requests unanswered rather than discarding every answer
beside them. Only a batch where no part answered is reported as unavailable, which
keeps "could not ask" distinct from "no rows".
Controls cover all three shapes: a whole batch that fails is answered in parts with
the split recorded, a failing part leaves only its own requests unanswered while the
rest are kept, and a batch no part can answer is still unavailable rather than
empty.
Whether this is enough for PMPro is a separate question the measurement will
answer: a single taint request on that tree already takes 40 seconds and returns
36 KB, so the batch may be slow as well as large.
1,410 tests passed, nine skipped.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
All three PMPro comparisons exhausted a 3000-second deadline with a 1200-second
query ceiling and produced no artifact, so there is no target evidence at all. The
engine reports `cpg batch taint failed` twice per case on the 1,274-file tree:
first an exception whose trace runs through ujson array transformation, then a
timeout on the retry.
Budgets tried: 900 s, 1200 s and 3000 s deadlines against 300 s and 1200 s query
ceilings. The pins, source receipts and declared target are all correct, so the
question was asked properly and the engine could not answer it. This is a runtime
blocker on a large repository, not evidence about whether the design transfers to
PHP.
Two harness defects were found on the way, and both had made an earlier run look
like a transfer failure rather than an instrument problem. The manifest labels a
case by what it is, vulnerable or fixed or benign, while the id says what the
comparison does, introduce or repair or benign; filtering on one while keying
expectations by the other ran a single case and reported an all-false verdict. And
the per-query ceiling is taken as the minimum with the remaining transaction time,
so raising only the deadline could never have helped, and twice did not.
M3 is not met. Its exit asks for Node, PHP and Python together: Python is
established, Node was established in M1b, PHP is blocked.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Generalized the replay instrument so the case family is an argument rather than a
hard-coded target, since a harness that only knows one language cannot say whether
the design transfers. Targets, pins and expectations come from the committed inputs,
so Python is asked exactly the way Node was, through the same core, ranker,
comparison and admission.
VAmPI-SQLI models/user_model.py:73:get_user detected, answered
VAmPI-BOLA api_views/users.py:187:update_password detected, answered
VAmPI-BOLA-BOOKS api_views/books.py:51:get_by_title detected, answered
35 of 35 questions complete on every case, nothing reported new, zero admitted
defects.
Two results stand out. The SQL injection is the evidence the milestone spec names
as previously unresolved. And two of the three targets are access control, the
family that could not complete a question on any repository before group 12, so
this is the first time broken object-level authorization has been asked on Python
at all, and it answered on both endpoints.
VAmPI has the same revision on both sides, so the regression mode establishes
detection and completion, never novelty. It asserts that directly: with nothing
changed, a target reported new would be a comparison defect, and none was. That
tests the novelty logic from the opposite side to the NodeGoat case.
Identical revisions cannot show novelty, and VAmPI is inspected teaching data that
cannot qualify production Python support. No capability enabled, no latency claim.
1,407 tests passed, nine skipped.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Measured after scoping a registration-only region to its file.
M1a, before group 12 0 of 436 head questions completed
after per-family context 298 of 436
after region attribution 299 of 299, and 299 of 299 on the base
The count falls from 436 to 299 because the mis-attributed function-scoped regions
in a route-registration module are gone, replaced by file-scoped questions the graph
can answer. Nothing is unresolved on either revision.
Detections are unchanged: the vulnerable revision is still new with
operation_absent_from_comparable_base, the fixed twin analyzed and quiet, the
unchanged revision not a regression.
What remains is recorded limits rather than failures: 210 bounded-reachability
boundaries, each owned by the question that reported it, and one vendor exclusion.
Neither blocks a comparison.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
A route-registration module registers handlers that other modules define.
app/routes/index.js requires seven handler modules and defines none, yet regions
there were scoped to handleContributionsUpdate and its siblings. The graph rightly
held no such method, so every question in those regions was unresolvable: 138
across six families on that one repository.
The entry record still names the handler. The authorization question is which
middleware guards which handler, and that is cross-file by nature. It now also
records whether the file defines what it names, and a region built from an entry
that does not is scoped to the file instead of to a method the file lacks. The
handler's own module still gets its function-scoped region, so nothing is lost.
My first attempt changed the mapper to stop naming cross-file handlers at all. An
existing control caught it by asserting that a multi-line registration names the
handler its middleware guards, which is exactly the attribution the authorization
family needs. The evidence was against me and the fix belonged one layer up, in
region construction.
1,407 tests passed, nine skipped.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
