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5abc6cd6f6757f6de3aec81cdaf23514ea856419
188
Commits
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5abc6cd6f6 |
fix(cpg): a timed-out query must kill the JVM, not just the script
`joern` and `joern-parse` are shell scripts that launch a JVM as a separate process. `subprocess.run(timeout=)` kills the script and leaves the JVM resident, holding its heap, indefinitely. Every `query_failed: timeout` leaked about a gigabyte. Found by running out of memory. After a day of 300s and 2,400s taint timeouts, four orphaned JVMs -- three hours old, ~2GB between them -- were still resident on a 7GB machine, and background tasks started being killed. On a CI runner doing several scans in sequence this is an OOM rather than a degradation, and it would present as "the scan needs more memory", which is the wrong lesson entirely: the scan's own peak is a flat ~1.5GB whether its query runs for five minutes or forty. The command now starts in its own session, and a timeout SIGTERMs the process group and SIGKILLs what survives. An injected test runner is left alone, because those spawn nothing. Tested with a real shell script that backgrounds a child, since the bug is specifically about grandchildren -- and the test reaps that child itself if the assertion fails, rather than leaking the process it is complaining about. 855 tests pass. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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4a1e06b75b |
fix(cpg): exclude the files php2cpg miscompiles, and name them
Root cause of every failed whole-repository PHP scan, bisected from 637 files
to one file to one function to one construct:
<?php
function f($n) {
h("p", function($p) { global $g; return $p . $g; });
}
A `global` declaration inside a CLOSURE makes php2cpg 4.0.623 emit a node with
two AST parents, and Joern then refuses to apply its own dataflow overlay:
java.lang.AssertionError: Iterable was expected to have exactly one
element, but it has 2. Hint: trying to resolve astParent ... (which is
probably a malformed cpg)
Controlled, because four earlier hypotheses were refuted by measurement and I
was not going to add a fifth:
global inside a closure WITH use -> ASSERTS
global inside a closure, NO use -> ASSERTS (so `use` is irrelevant)
use, global OUTSIDE the closure -> ok (so scope is the trigger)
The property that matters: one such file costs the WHOLE GRAPH, not itself.
That is why a 2,500-request taint batch and a 13-request dominance batch failed
identically in ~25s, and why I twice called this a per-request cost problem. It
never was. Nothing was ever served; the graph is rejected at load.
Rare enough to exclude rather than surrender to -- 1 of 637 files in Paid
Memberships Pro, 1 of 357 in WP Statistics, 0 of 169 in MW WP Form, about 0.2%
-- so the construct is detected by reading the source, those files are excluded
from the build, and they are reported as `unparsed` so the coverage section
names them instead of implying they were clean.
Repository-scale PHP goes from blocked to 99.8% scanned with a stated gap.
854 tests pass; gates byte-identical.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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07df314e12 |
fix(cpg): prove the frontend can read the source before building, and check the graph always
Two permanent guards, and a correction that motivates both.
THE CORRECTION. There is no php2cpg defect. Every PHP build on this machine
ran through a local `php` shim proxying stdio through `docker run`, and
php2cpg depends on the INTERLEAVING of its parser's stderr banners with its
stdout JSON to attribute each document to a file. The proxy scrambles it:
streaming shim drops 72-88 767KB / 969KB / 1.2MB different every run
buffered shim drops 0 5,703 bytes empty, and silent
NATIVE php drops 0 2,872,996 bytes identical x3
The 637-file tree with native php: 0 drops, a 4,329,471-byte CPG, 20.0s,
1.9GB peak -- which is exactly what task 5.10 said before I started
"correcting" it. No intermittent failures, no malformed graph, no dataflow
assertion, no scale limit.
GUARD 1: the interpreter must prove it can read the tree, before anything is
built. Every instrument failure this project has had takes one shape -- the
input was unreadable and the tool reported a plausible ZERO -- and it has cost
four wrong diagnoses in a day:
a php that could not see ~/.cache -> "cannot handle 637 files"
a php whose stdio was proxied -> "drops half its batches"
a container missing a bind mount -> "0 dropped", 5,703-byte graph
None announce themselves: file_exists() is false, the parser writes nothing,
the frontend exits 0, and "no errors" reads exactly like success. Checking the
output cannot separate that from an empty repository. Checking that the input
arrived can, and costs one exec.
GUARD 2: the graph census is taken on EVERY build, not only one the frontend
warned about. A graph holding nothing arrives with no warnings at all --
silence is the symptom that has no symptom -- and the shortfall is now
reported as "the frontend reported no failures but the graph holds N of M
source files".
`cpg_build_failed` carries that detail through to the report instead of being
a bare reason.
Also adds tests/test_cpg_queries_compile.py: the queries are 900 lines of
Scala that nothing compiled. A rowsFor signature change shipped with 850 tests
passing and broke every query at runtime, found by a measurement failing hours
later. Each query is now compiled AND run against a real graph wherever joern
exists, and must return a parseable payload.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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83adf049be |
feat(model): say when the region cap hid most of the repository
Paid Memberships Pro yields 4,463 regions from 637 files. The default budget examines 500 of them -- 11% of the repository -- and nothing in the output said so. A report whose silence covers the other 89% invites that silence to be read as a clean bill of health. `budget_exhausted` is a different fact and already reported: that is the JUDGE running out on work already collected. This is the work never being collected. Renders in "What could not be analysed" as: only the N highest-ranked of M regions were examined, and nothing above says anything about the rest. 850 tests pass. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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d63be34451 |
fix(cpg): ask the graph before splitting it, not the frontend's log
Sharding was triggered by `Failed to process` warnings. Those warnings are not
evidence about the finished graph:
a build reporting 2 drops -> 3 files, 139 methods, same size as a clean one
The file it warned about was in the graph the whole time. Acting on the
warning is not merely wasteful, it is destructive -- shards cannot see each
other's flows, so splitting a two-file WordPress pair on a false alarm cost it
CVE-2022-25148 outright. That is how this was found: the slices caught it, at
a scale small enough to check by hand, before the whole-repository run could
bury it.
So the build now takes a census of the graph (`census.sc`) when the frontend
warns, and splits only if the graph is actually short of the files handed to
it. A warning is a symptom to investigate, never a verdict. Conservative in
the only direction that matters: if the census cannot be taken, the caller
does the careful thing and splits.
wp-vuln 3 entailed incl. CVE at :225, NO shard (was: 2, sharded)
wp-fixed 2, that one absent
mwwpform 1 / 0
pmpro one-file 18 incl. CVE at :936
pmpro slice 18 incl. CVE at :936, sharded -- genuinely deficient here
The census costs one JVM, and only on a build that warned; a clean build pays
nothing.
849 tests pass; gates byte-identical.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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9cce5a3181 |
feat(cpg): give the files a frontend refuses a CPG of their own
A dropped file is dropped from the ONLY graph there is, so every question
about it has no answer -- which is how a 637-file plugin became a scan of
nothing. But those files build perfectly well alone: the failure is
per-invocation, not per-file. So a file the main build refuses is excluded
from it, given a second CPG, and both are queried with rows concatenated per
request id.
pmpro two-file slice before: cpg_empty, 0 findings
after: 18 entailed incl. CVE-2023-23488 at :936,
reported with cpg_sharded
What this does NOT buy is a flow that crosses the shard boundary: a source in
the excluded file whose sink is in the rest of the tree is invisible to every
question asked, and no merging of results recovers it. That is why the split
is REPORTED rather than quietly served as if it were whole.
The excluded-file tree is symlinks at the original relative paths. A region
asks about `classes/class.memberorder.php` and the queries match a filename by
suffix, so a flattened copy would cheerfully answer about a file nobody asked
about.
Reports gain "What could not be analysed", rendering cpg_sharded, cpg_empty,
files_unparsed, query_failed and budget_exhausted in the reader's terms. A
degradation is a fact about coverage, not a warning to file away: silence in
the coverage table means "no fact table covered this", and silence about an
empty or split graph means something else entirely.
Also removes the WordPress vocabulary from the query, which was the other half
of this request. `apply_filters` was a hardcoded Set in taint.sc and
`add_action|add_filter|add_shortcode` a hardcoded alternation in mapping.py.
Both are now a `[[dispatch]]` fact:
[[dispatch]]
id = "wordpress_hooks"
register = ["add_action", "add_filter", "add_shortcode"]
apply = ["apply_filters", ..., "do_action", ...]
The shape is general -- a registry keyed by a string literal at both ends, as
Django signals, jQuery events and Symfony's dispatcher all are -- so a second
framework is a row in a TOML rather than an edit to a query. `dispatch_apply`
is empty for every language that declares none, and the hook half then does
nothing at all rather than looking for names that mean nothing there.
848 tests pass; gates byte-identical. wpstatistics 3/2 with the CVE at :225 on
the vulnerable side only, mwwpform 1/0, pmpro 18/1, VAmPI 4 unchanged.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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1ce7e9db9b |
fix(cpg): build php through the frontend and retry while it drops files
The intermittent empty-graph builds that cost four manual retries to measure
WP Statistics at all.
First, a correction: the explanation this repo carried was wrong. It said
php-parse's stderr banners interleave into block-buffered stdout and corrupt
the JSON. Capturing the exact bytes php2cpg receives -- by putting a logging
wrapper on `php` -- shows its input arriving complete and valid: two
well-formed JSON documents, 5,176,594 bytes, byte-identical across runs, with
no banner anywhere inside them. The defect is in php2cpg's own reading of that
input, and nothing outside it repairs a given attempt.
Three fixes were tried against the old theory and each changed nothing, which
is how the theory died:
* an unbuffered PHP shim via --php-parser-bin 0 of 6 builds usable
* compacting the JSON, 5,176,594 -> 943,028 bytes 0 of 6
* -J-Djava.util.concurrent.ForkJoinPool.common.parallelism=1 0 of 6
What is true is that the failure is INTERMITTENT, and that `joern-parse` is
both worse at it and silent about it. Measured on one WordPress slice:
joern-parse 5 of 8 builds usable, and says nothing when they are not
php2cpg 11 of 12 builds usable, and names every file it dropped
So php builds through the frontend directly and retries while it reports
dropped files. Retrying is sound only because the failure is intermittent AND
reported -- retrying a silent failure would be superstition; retrying a
reported one is just using the report. It gives up after four attempts and
reports what is still missing rather than pretending a partial graph is whole.
wp-vuln through the driver before: 4+ manual retries to get one build
after: 6 of 6, 3 entailed findings each time
joern-parse remains the path for every other language, and the fallback when
no frontend is on PATH.
843 tests pass; gates byte-identical; mwwpform, pmpro and VAmPI unchanged.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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45cf43e625 |
fix(cpg): one method with no sources must not cost the whole batch its answers
`reachableByFlows` on an empty source list is not a no-op. Joern answers it by
logging
[INFO ] Attempting to determine flows from empty list of sources.
to STDOUT -- while the script is running, so the line lands between the fence
markers, ahead of the payload. `json.loads` then fails on the whole document
and the driver reports `query_failed` for every request in the batch. One
method with nothing to trace from silently cost the answers for all 205 of
the others.
Fixed at both ends, because either alone leaves the seam brittle:
* taint.sc skips the flow query when there is no source to trace from, which
is also the correct thing to do with the question.
* `extract_payload` starts a decode at each line that opens a document and
keeps the first that parses. Trimming to the outermost brackets is the
obvious approach and the wrong one -- `[INFO ]` brings its own bracket.
Found while testing whether `$this` belongs in parameter sources. It does not
belong there on the argument -- the receiver is the object, not request data --
and excluding it cuts Paid Memberships Pro's order class from 16 entailed
findings to 6, all sourced from a named parameter, and makes the 2.9.7/2.9.8
pair separate cleanly.
It also loses CVE-2023-6559: MW WP Form's `_delete_files()` takes no
parameters at all, and the attacker-controlled path arrives as
`$this->attachments`, assigned by another method. So the trade is a VERIFIED
CVE against findings merely suspected of being false, and it is refused. The
receiver stays, with the measurement written next to it. The real defect is
field-sensitivity -- a field should be tainted where it is assigned -- and
deleting the receiver removes the symptom by removing the evidence.
841 tests pass; gates byte-identical.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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e0442d146c |
fix(cpg): a graph the frontend emptied must not read as a clean repository
Scanning a two-file WordPress slice returned 64 regions examined, zero
findings and zero degradations. The graph it examined had no methods in it.
php2cpg 4.0.623 feeds several files to one `php-parse` process and reads its
stdout and stderr merged. php-parse writes a `====> File <next>:` banner to
stderr the moment it starts the next file, while the previous file's JSON --
megabytes of it -- is still draining from a block-buffered stdout. The banner
lands inside the JSON, ujson reports
expected json value or } got "=" at index 5011645
and the frontend drops that file. Reproducible on real plugin code, and the
size that matters is one file's AST dump, not the repository's:
class.memberorder.php alone (1834 lines) -> 142KB CPG, no failures
the same file + a two-line file -> 5.7KB CPG, BOTH dropped
One oversized file empties the whole graph. `joern-parse` then does not
propagate any of the frontend's warnings: 13 lines of output, exit status 0,
"Successfully wrote graph". This is what made a 637-file plugin unscannable
and reported it as clean -- it was never a scale limit.
Two fixes, because the failure arrives on two different paths:
* `_unparsed_files` reads the per-file warnings the frontend does emit, and
the scan reports them as `files_unparsed`. This covers the direct-frontend
path where the warnings are visible.
* The batched query now carries a `__census__` of the graph -- method and
file counts -- under a key no request id can collide with, and a scan over
a graph with no methods degrades as `cpg_empty`. This covers joern-parse,
which shows nothing. It rides the batch rather than costing its own
invocation, because avoiding a JVM start is the entire reason batching
exists.
Neither invents a verdict. There is no rung for "the graph was empty" because
the ladder labels verdicts and none was produced, which is exactly why it has
to be a degradation.
pmpro two-file slice before: 0 findings, degradations=[]
after: 0 findings, degradations=[cpg_empty]
Gates byte-identical; 840 tests pass.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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37a6594703 |
fix(mapping): a PHP method with a visibility modifier is a region
`^\s*function` matched a bare declaration and nothing else, so every method
written the way modern PHP writes them -- `public function`, `protected
function`, `private static function` -- was invisible to the region model.
The effect is not subtle on class-based plugins. MW WP Form's
`class.mail.php` produced ONE file-level region spanning 272 lines instead
of 16 method-scoped ones, and its `protected function _delete_files()` --
which holds CVE-2023-6559 -- was not a region at all. Paid Memberships Pro
happened to work only because that particular file omits the modifiers.
class.mail.php 1 file-level region -> 16 method-scoped regions
Also adds the MW WP Form checkout as the PATH family's plugin, pinned at
3bdd33d (5.0.3) with CVE-2023-6559 verified in the code:
protected function _delete_files() {
foreach ( $this->attachments as $file ) {
if ( file_exists( $file ) ) {
unlink( $file );
and the fix at 02ebc67 replacing the existence check with `realpath()`,
`is_file()` and a directory-confinement test. `unlink` is a modelled path
sink and `realpath` a modelled sanitizer, so this is a pair the engine
should separate rather than merely flag -- which is what makes it worth
more than a single hit.
Gates byte-identical.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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21fdb554aa |
fix(cpg): a query that could not be asked is not an empty answer
contributor-scan 5.7, and it was the wrong question.
**The 117k-line pmpro CPG does not load.** Importing it throws in a
ForkJoinParallelCpgPassWithAccumulator during overlay application, so every
query against it returns nothing. It is not a call-graph question at all.
Isolated by running the ARBITER against two prebuilt CPGs rather than
writing a sixth ad-hoc Scala probe, four of which had already failed on my
own mistakes:
small wpdb CPG get_order_by_code -> 1 model_entailed
pmpro CPG getMemberOrderByCode -> 0
Both have their source and sink in ONE function, both were asked with
parameter sources and depth 3, same arbiter and same spec. The CPG is the
only difference.
That clears the facts, which is worth stating: `$wpdb` sinks work, the
parameter-source rule works, and a PHP parameter reaching `$wpdb->get_var`
through a concat is entailed. Whether php2cpg resolves `new X()` and
`$this->method()` is still unmeasured -- it cannot be measured on a CPG
that will not load -- and is recorded as 5.10 along with finding the size
boundary.
**And the defect underneath it, which is the fourth quiet failure found on
this one checkout.** `query_batch` returned `{}` for a failure and `{}` for
a genuine empty answer, so a caller could not tell "could not ask" from
"nothing found". Every query on this scan failed at load and it reported
500 regions examined, no findings, and no degradation: a vulnerable plugin,
clean.
A failed batch now returns None, unparseable output counts as a failure
rather than an empty answer, and the driver records a `query_failed`
degradation naming the kind and the request count.
This is the failure mode the rung ladder structurally cannot catch. Every
other honesty mechanism here labels a VERDICT -- suspicion,
regions_unjudged, regions_unasked, stated family limits -- and when no
verdict is produced there is nothing to label.
Gates byte-identical.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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9020318a83 |
fix(mapping): an array callable registers a handler too
`array( $this, 'method' )` is the normal way a class-based WordPress plugin registers a callback, and the recogniser only matched the bare string form. The cost was precise. Paid Memberships Pro registers every REST route that way, so `pmpro_rest_api_get_order` -- the entry point that receives CVE-2023-23488's tainted `code` parameter -- was classified as a plain function at rank 0.30, position 1036 of 1577, below the 500-region budget. It was never asked about. Meanwhile `getMemberOrderByCode`, the sink two calls away, WAS scanned at position 450 and found nothing, because its `$code` is an ordinary parameter and only an entry point's parameters are treated as untrusted. So the scan examined the sink, missed the source, and reported the plugin clean. Recognising the array callable puts the handler at position 290 with rank 0.80 and `source=entry_point`, which is what gives it the interprocedural question that task 2.4 built for exactly this shape. Gates byte-identical. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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92677136d7 |
fix(cpg): a batch goes through a file, not the command line
Scanning a 637-file WordPress plugin reported 500 regions examined, zero
findings, and a taint query time of **0.05 seconds** -- less than a JVM
takes to start. Dominance ran for 29.56s and config for 22.44s in the same
scan, so only taint had failed.
Linux caps a SINGLE argument at MAX_ARG_STRLEN (128KB) whatever ARG_MAX
says. Measured on that plugin:
taint 2500 requests 1.49 MB <- over the cap
dominance 13 requests 0.04 MB
config 13 requests 0.00 MB
As `--param requests=<json>` execve returned E2BIG, `_run` caught the
OSError, `query_batch` returned {} -- and {} reads as "no rows found". Only
taint crossed the cap, which is exactly why the failure looked like a
result rather than an error.
This is the quiet failure the rung ladder cannot catch. Every other honesty
mechanism in this codebase labels a verdict; here no verdict was produced
to label, and a scan of a vulnerable plugin reported it clean.
The payload is now staged to a file beside the CPG and the path is passed
instead; all three queries read `requestsFile` when it is set and keep
`requests` for the single-request forms and the tests. A test asserts no
argument approaches the cap, since the failure mode is invisible at the
scale the unit tests run at -- batching worked on every small tree it was
ever tried on.
Verified on vampi first: 4 entailed, unchanged, all three known
vulnerabilities still found.
Gates byte-identical.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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9c50e17c11 |
fix(cpg): retry a failed build through the language frontend
Scanning a 637-file WordPress plugin reported 1577 regions with 0 scanned and `cpg_build_failed`. The build was not slow or out of memory -- it failed in 42 seconds -- and `php2cpg` run directly on the same tree produced a 4.3MB CPG with no errors at all. The difference is that `joern-parse` detects the language and then shells out to the frontend in a separate process. On this tree it got as far as applying overlays and then threw, while still writing an unusable cpg.bin. Joern's own output recommends the direct route for a large codebase: "Invoking CPG generator in a separate process... If you are importing a large codebase (and/or running into memory issues), please try: invoke the frontend: php2cpg -J-Xmx3072m /tmp/src -o cpg.bin" So a failed `joern-parse` now retries through `<language>2cpg`, with the driver passing the dominant region language. A language with no mapping fails closed exactly as before -- no guessing at a frontend name. This is the documented fallback rather than a workaround, and it was diagnosed rather than assumed: the standalone build was run first, and only after it succeeded on the identical tree was the retry added. Gates byte-identical. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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922ed84053 |
feat(repos): a WordPress plugin with a verified CVE, and the WordPress DB API
contributor-scan 5.1's detection half. Paid Memberships Pro 2.9.7 pinned at
1a900be3, carrying CVE-2023-23488 -- unauthenticated SQL injection through
the `code` parameter of the /pmpro/v1/order REST route.
**Verified in the code, not taken from the advisory.** At this commit
classes/class.memberorder.php:936 reads
$id = $wpdb->get_var("SELECT id FROM $wpdb->pmpro_membership_orders
WHERE code = '" . $code . "' LIMIT 1");
and tag 2.9.8 replaces it with `$wpdb->prepare( "... code = %s ...", $code )`.
637 PHP files and 117k lines, so it is also the first PHP checkout large
enough to say anything about an envelope.
**WordPress never calls mysqli; it goes through $wpdb**, so the facts could
not have found this. Added qualified: `$wpdb->get_var`, `->get_results`,
`->get_row`, `->get_col`, `->query`, `->replace`. Qualified because a bare
`get_var` or `query` matches any method of that name anywhere -- the
generic-name trap that made `query.get` match every `.get(` in a repository
this morning. `->insert`, `->update` and `->delete` are deliberately absent:
they take arrays and WordPress prepares them itself.
**And the thing that nearly went wrong.** The obvious next step when
writing PHP facts is to add WordPress's sanitizers -- sanitize_text_field,
esc_html, esc_attr. Doing so would have made this CVE invisible, because
its handler calls `sanitize_text_field( $params['code'] )` and then
concatenates the result into a query. sanitize_text_field is a real
sanitizer that does nothing whatsoever about SQL injection.
`TaintSpec.sanitizers` is one flat list per language whose comment states
the assumption outright -- "a sanitizer that breaks one flow breaks it
whatever the sink's family" -- and PHP falsifies it. So only SQL-specific
cleansers are listed, which leaves XSS under-sanitized instead, and the
real fix is recorded as task 5.6: a discharge counts for the obligation it
discharges. That is task 2.6's finding arriving in the taint family, where
the dominance arbiter already reads kind from the facts and the taint spec
has no equivalent.
The end-to-end scan of this checkout is not yet reported: the first run
returned 1577 regions with 0 scanned, and the CPG builds standalone at
4.3MB with no errors, so the two do not yet agree. Numbers when they do.
Gates byte-identical.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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47b00d739b |
feat(model): one defect is one finding, however many regions reach it
contributor-scan 2.9. Task 2.4 let a region's question follow the call graph, and the moment it did, many entry points could reach one shared sink: libpng reported the same site twenty-six times. A contributor shown the same defect twenty-six times learns to scroll past it. Findings are deduplicated on (site, family), keeping the strongest rung and counting the regions that reached it -- "reached from 26 regions" is the useful half of that observation and one row is the readable half. Two families at one site stay two findings, because `echo $_GET[...]` is an injection question and an output-encoding question with different answers. The duplication that motivated this was removed by another route: the 26 rows were all the `fgets`-matched-as-`gets` false positive, and the sink matcher fix took them out. So this changes no current number and is a structural guarantee rather than a measured reduction -- the mechanism that produced them is untouched, and only the finding that made it visible is gone. +25 lines for a guarantee, in a session that has been asked to watch its growth. The audit is unchanged at 97 modules, 90 load-bearing and 7 standalone, with no orphans. Gates byte-identical. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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60d2a1a92c |
feat(model): an endpoint its contract declares open carries no obligation
contributor-scan 2.8. VAmPI's last two false positives were register_user
and login_user, both declared open by its OpenAPI spec: the arbiter was
reporting a missing guard on endpoints whose contract says there is
nothing to miss.
**The fix keys on provenance, not on the value, and that distinction is
the whole task.** The mapper says "public" in two very different
situations. An OpenAPI operation with no `security` block is DECLARED
open, because the spec is a complete contract. A Flask handler with no
`@login_required` is "public" only because nothing was found -- which is
precisely the bug this family exists to report. Suppressing on the value
alone would have silenced the detector on its primary case, so
EntryPointRecord now carries `access_declared` and only a declaration
removes the obligation.
WordPress supplied the second source of declared access on the same day --
wp_ajax_nopriv_ for a logged-out handler, wp_ajax_ for a logged-in one,
permission_callback => __return_true for an open REST route. A rule resting
on one framework's convention would be a special case; two make it a shape.
vampi entailed 6 -> 4
access-control precision 2 of 4 -> 2 of 2
known vulnerabilities 3 of 3 still entailed
access_control offered to 6 of 14 handlers, exactly the six the spec
declares authenticated
**And the guard that decides whether it is a real improvement:** the
access-control pair corpus, which nobody tuned this against, is unmoved --
pair_correct 3 and leak 1 across all nine, pair_correct 2 and leak 0.0%
across the seven from projects unrelated to VAmPI, identical to task 2.6.
The precision was not bought by silencing the family. Pair excerpts carry
no route manifest and no hook, so nothing in them is declared open and the
rule correctly does not fire.
Gates byte-identical.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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3e1d13e4b6 |
feat(reports): the model's own suspicion band is a proposal too
contributor-scan 2.17, completing Req 5.5. Task 2.11 made static pattern matches proportionate and left the model layer's own suspicions alone, reasoning that a proposer had reasoned about them. That does not survive inspection. A model suspicion is what the enumerator proposed at a site the graph could NOT decide, affirmed by a judge with no coverage there -- and its own rationale says exactly that: "the model resolved no flow here; its sink table may not cover this API". It is a pattern match with an opinion attached, and it reads like a reasoned claim only because a model produced it. vampi 60 findings, 61 sections -> 26, report 1085 lines -> 446 libpng 198 findings, 39 sections -> 30 **What it costs, which is the number that decides whether the rule is right.** For each known vulnerability the recipe declares, take every finding row at its location and ask whether any survives the rule. All three of vampi's -- the SQL injection and both documented BOLAs -- are still found at model_entailed and all three survive. Nothing known is hidden. Three vulnerabilities in one repository is also a statement about how small the evidence base is, and the artifact says so. The obligations checker sits at `suspicion` too and is NOT grouped: its output comes from a structural analysis, an obligated operation with no discharging guard, rather than from a guess. An earlier attempt at this rule filtered on rung alone and would have collapsed it; six tests failed and they were right to. "Pattern matches" is now "Proposed, not corroborated", since it holds two shapes. Model rows group by FAMILY rather than by rule, because their rule is always `model`. Gates byte-identical. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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af7e33ef3e |
feat(reports): say what was looked for, and what cannot be decided
contributor-scan 2.16, implementing the approved Req 5.6. `c/memory` scored zero true positives across 89k lines of C and three distinct classes of false one, for a structural reason: it models string CALLS and libpng overflows through arithmetic. The task allowed retiring the family. Kept, scoped and stated instead -- `strcpy` misuse is real in plenty of C and the family earns its place for that. Retiring it would have removed the disclosure along with the coverage, leaving a C scan silent for a reason nobody could read. **Its own description was the quiet-failure risk.** It claimed "bounds, lifetime, arithmetic", which is exactly what it does not decide. It now names the APIs it models, and a new `limits` field in families.toml says what it cannot: an overflow expressed as an index, a pointer offset, or a memcpy whose size is computed -- which is how most real C overflows are written, and how every one of libpng's is. A limit recorded in a fact table nobody reads is no better than silence, so the report renders it. **What was analysed** lists every family offered to a region whether or not it found anything, because a family that ran and reported nothing is the case a reader is most likely to misread, and it states plainly that silence means no fact table covered the code rather than that the code is safe. The counts are derived from the fact tables the arbiter actually used, so they cannot drift from what the engine looked for; only the limit sentence is authored, because "cannot decide an overflow expressed as an index" is a statement about an abstraction and no table can produce it. A C scan that finds nothing now says: | c | `memory` | 121 | 9 | **`memory` (c)** — Models CALLS, not arithmetic... Gates byte-identical. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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0ffa99b5e6 |
feat(model): one finding per sink site, and WordPress's registration model
contributor-scan 5.4. Both halves, and the second found a frontend blocker.
**One verdict per region was right for a pair and wrong for a file.** A
pair is one labelled function with one bug, so one answer is correct. A
region spanning a PHP file is not: the probe's SQL injection on line 5 and
command injection on line 13 produced ONE injection verdict, `system` won
it on flow length, and the SQL injection went unreported by construction
rather than by any failure of the analysis.
`taint.verdicts()` now returns one verdict per distinct sink site,
strongest first, and its first element is exactly what `verdict()`
returns -- so the pair path and every committed measurement resting on it
are unchanged, and the gates are byte-identical. Both entry points share
`_usable_flows` so neither can drift from the other.
php probe 2 of 3 -> 3 of 3
vampi 6 entailed, unchanged, now with lines on access-control
findings from task 2.7 (users.py:187, books.py:51 -- the two
documented BOLAs at their exact lines)
libpng 1 -> 2 entailed; the second was hidden by the collapse.
Neither is validated and both are in contrib/.
**WordPress registers handlers rather than decorating them, and the hook
name is the declaration.** `wp_ajax_nopriv_*` is WordPress saying
logged-out callers reach this, so it is public; `wp_ajax_*` fires only for
logged-in ones; `permission_callback => __return_true` declares a REST
route open. That is the declared-provenance signal task 2.8 needs,
arriving from a second framework. Plus every top-level PHP function as its
own region, without which a file is one region however many functions it
holds: 1 file-level region became 10 function-scoped ones.
**And a blocker, recorded as 5.5.** php2cpg emits a CPG containing only
ONE PHP file, the last alphabetically. Reproduced twice on independent
samples; both files parse cleanly under `php -l` and under PHP-Parser
directly, and joern-parse reports success either way. php2cpg logs "Found
warning in PHP-Parser JSON output" naming the survivor, and that warning is
PHP-Parser's own `====> File X:` banner appearing in what php2cpg expects
to be pure JSON.
Not isolated yet: this machine has no PHP interpreter, so php2cpg was
driven through a container shim. The banner comes from PHP-Parser rather
than the shim, which makes a shim-only cause unlikely but not excluded, and
rerunning with the native php-cli in the shipped image is the first step.
It blocks WordPress outright -- a plugin is many files, and a scan that
silently covers one of them and reports success is the quiet failure Req
5.6 was approved for.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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61811512a8 |
feat(facts): PHP semantic facts, validated against a real PHP CPG
contributor-scan 5.1, the first step toward the v0.1 WordPress target. Written against a PHP CPG rather than against PHP source, because the two do not look alike. Verified with joern-parse 4.0.623 / php2cpg on a probe: $_GET["name"] -> call `<operator>.indexAccess`, CODE $_GET["name"] mysqli_query($conn, $sql) -> call NAMED mysqli_query echo $_GET["msg"] -> call NAMED echo So sources match on code and sinks match on name, and every entry the probe did not exercise is marked unverified in the file -- `include` and `require` among them, which is PHP's most characteristic path bug and the first thing to check on a real checkout. Five families derive (injection, output_encoding, path, deserialization, untrusted_destination) with no sink that is its own sanitizer -- asserted by a test, because that bug class has now appeared three times in three matchers. `php` is added to the region model's languages, without which the facts would have reached nothing. The arbiter decides 4 of 4 on the probe: the SQL concat entails, its `mysqli_real_escape_string` twin drops to corroborated, `echo` XSS entails and `system` command injection entails. **A whole scan finds 2 of those 3, and the gap is the finding.** PHP files yield FILE-LEVEL regions because no PHP entry points are mapped, and the taint arbiter returns one verdict per region per family -- so a file-level region reports at most one injection finding however many it holds. `system` won on flow length and the SQL injection went unreported. That is the mirror image of task 2.9: that one is many regions collapsing to one site, this is many sites collapsing to one verdict, and it bites hardest exactly where PHP needs it not to, since a WordPress file is large and has no decorator for the mapper to find. Recorded as task 5.4 with WordPress's registration model (add_action, add_filter, admin-ajax, REST routes), which the mapper already handles in principle for other frameworks. A 13-line probe is not a WordPress result. What is established is that the seam works end to end for PHP; everything about scale and coverage is unmeasured, and there are still zero PHP pairs in a corpus of 263 python, 351 c_cpp, 47 javascript and 49 java. Gates byte-identical. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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00e178d69e |
feat(reports): a report proportionate to what the engine can say
contributor-scan 2.11. libpng emitted 198 sections, 163 of them asserting that `memcpy` and `strcpy` are PRESENT in a library that uses them correctly throughout. That is the noise developers have learned to skip in every other tool, and shipping it costs the findings beside it their credibility. **Filtering on rung was the obvious rule and it was wrong.** The obligations checker emits at `suspicion` too, so hiding that rung would have hidden an entire detector -- six tests failed and they were right to. The discriminator is evidence_level: on libpng 163 of 198 rows are `static_corroboration`, on vampi 3 of 60 are, and the model layer and the obligations checker carry `suspicion` there instead. That is exactly the distinction the ladder exists to make -- an undecided CLAIM about a site is not an observation that an API exists. So a pattern-only rule is grouped once it has more than three sites, and keeps its full sections under that. One `python-flask-debug` is a finding a contributor can act on and must not be summarised away; fifty-four `c-unsafe-copy` are a property of the codebase. libpng 198 findings, 198 sections -> 39, 161 grouped into three lines vampi 60 findings, 61 sections -> 61, nothing grouped Counted, never dropped: findings.json stays complete because it is the record a baseline is compared against, and the grouped section says the model reached none of these and that its silence means no fact table covered the site rather than that the site is safe. What it does not fix, recorded rather than glossed: vampi still emits 61 sections for a 520-line application, 51 of them reasoned claims this rule does not touch. It fixes pattern noise, not volume. Also records what group 2 established about the three corpus asks, so none is started on a wrong assumption. Joern ships php2cpg but our fact tables have zero PHP families, so WordPress would parse and produce nothing -- fact tables first, corpus second. An older vulnerable libpng will not help for a reason no version can fix. Vibe-code repositories are the best fit and the cheapest route to a second true-positive checkout, because Python and JavaScript are the two languages whose fact tables are complete. And Group 8, for per-repository state a developer owns: a committed dismissal file the tool reads and never writes, dismissals as a split evaluation set, and GEPA/SIMBA-style evolution scoped to the QUESTION -- the judge and residual prompts -- never to the fact tables. That boundary is the whole design: a prompt is how we ask, a fact table is what we claim, and the closed-loop leak measured on 2026-09-05 is why the distinction is not negotiable. Gates byte-identical. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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d232f03597 |
feat(mcp): the findings list carries the rung, and leads with what was decided
The stated final objective is the rung plus an LLM way of diving in without being forced to rethink the code. The second half is largely plumbing, because the material already exists: the witness (`username -> db.session.execute(...) in models/user_model.py (line 73, 8 steps)`) is the reasoning, already written down and already attached to the finding. So this session's recurring shape was worth checking rather than assuming, and it was there. `openultrasast.get_finding` returns the whole record including the witness, but `openultrasast.findings` dropped the rung: an LLM listing libpng's 198 rows could not tell the one the graph decided from the 197 an enumerator proposed without fetching all 198 one at a time. That is exactly the re-derivation the list exists to spare it. The list now carries the rung, orders strongest first, and returns a per-rung tally so a caller can triage before it fetches anything. The brief records what still stands between here and the objective: the witness is one line and the query already walks the path elements before discarding all but the first; the suspicion band will be reasoned about at length by an LLM, which is worse than a human ignoring it; and a family that cannot decide its class must say so, or the model will confidently explain a silence. Gates byte-identical. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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c1191b3a6b |
feat(model): an access-control finding names a line, and what the PDG does not give us
contributor-scan 2.7. Taint and config verdicts have always carried a `path:line:function` location; dominance never did, so every access-control finding reached a contributor as `api_views/users.py:?:update_password` -- the right file by accident, because the region was asked about that file, and no line at all. The query now reports the operation's file and the verdict carries the location, with an engine that cannot report one getting no location rather than an invented one. Two questions answered by measurement while doing it. **Does this factor in the PDG?** The data half, centrally: `reachableByFlows` is the entire taint arbiter and `joern-parse` applies the `dataflowOss` overlay. The control half, not at all -- and it is not available to us. Measured: 0 of 13,184 calls in the libpng CPG and 0 of 1,152 in the vampi CPG have a controlling control structure, so `controlledBy` returns nothing in either. Everything guard-shaped therefore runs on CFG dominance or on syntactic conditions, which is exactly why 2.12's first attempt failed: libpng's bound reaches its sink through an `error` flag, and that is a control-dependence fact and nothing else. Recorded as 2.14, including the possibility that it cannot be enabled -- which would bound what guard reasoning this engine can ever do. **Would checking out a vulnerable libpng find a known CVE?** No, and not because of the version. Every one of the twelve files using `strcpy`/`strcat`/`sprintf`/`gets` is under `contrib/`; the library itself uses none of them. libpng overflows through array and pointer arithmetic and `memcpy` sizing, and five of its buffer-overflow fixes touch no modelled sink at all. Pinning an older commit would produce the same silence for the same reason. That leaves two routes of very different size, recorded as 2.15: pin a C project whose CVE genuinely runs through a string function, which is cheap and would give the memory family its first true positive; or model how C actually overflows, which is size arithmetic rather than sink matching and should not be started by accident. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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9221ba8e40 |
feat(model): a bound on the data lowers the rung, it does not clear it
contributor-scan 2.12. c/injection and c/memory carried zero sanitizers, so no C flow could ever be discharged: every `argv -> strcpy` entailed however carefully it was bounded. Which sinks can be discharged this way is read from the sink fact's own CWE rather than declared: CWE-121 is a stack buffer overflow, so gets/sprintf/strcat/strcpy qualify. It is the only overflow CWE in the fact tables and it is C-only, so no Python or JavaScript sink is touched and the pair corpus is unaffected -- gates byte-identical. Not a sanitizer list, because `strlen` appears in the guarded and the unguarded case alike; the discharge is a guard, not a call. **The first implementation required the bound to DOMINATE the sink, and it found nothing.** libpng guards `strcpy(outname+len, ".png")` with `(len = strlen(inname)) > 250`, but that check sits on an else-if chain whose sibling branch skips it entirely, and the protection reaches the sink through an `error` flag: `++error` in the guarded branch, `if (!error)` around the copy. Joern's dominator set for that sink has 89 calls and correctly excludes the bound; `controlledBy` returns none either. Verified against the CPG before the rule was changed rather than after it failed. So the bound is searched in the method, and the consequence is corroborated rather than silence. That is the honest rung: a bound on this variable means the graph has NOT shown the copy is unguarded, and it has not shown it is guarded either -- off-by-one being how bounds fail. The judge is asked. Proving the flag-mediated case needs path-sensitive reasoning this arbiter does not do. libpng entailed 3 -> 1 The survivor is also a false positive: `strcpy(output + len, ".icc")` in iccfrompng.c, where `output = malloc(len + 5)` makes it fit exactly. That is a different discharge shape -- allocated to size, not bounds-checked -- and it is recorded as 2.13 rather than chased. Both shapes were found on one repository, and extending a rule until that repository is clean is the overfitting Req 8 exists to prevent; 2.13 requires a second C checkout with a genuine CWE-121 so the change can be measured for what it silences as well as what it clears. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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6dc25d77e4 |
feat(model): let the project say what it ships, and rank that first
contributor-scan 2.10. Every one of libpng's twenty-five entry-point regions was a `main()` -- twenty-three under contrib/, plus example.c and pngtest.c -- and those regions carried the fifty interprocedural taint requests that dominated a 300s query phase. A library has no entry points, so entry-point-driven analysis had nothing to anchor to except its own example programs. The task said to derive this rather than hardcode `contrib/`, and a project already declares it. Makefile.am names installed targets in `lib_LTLIBRARIES` and `bin_PROGRAMS`, each target's `<target>_SOURCES` names its files, and `check_PROGRAMS`/`noinst_PROGRAMS` are automake's own word for "not installed" -- exactly the distinction wanted. Taking every `_SOURCES` would have called libpng's whole test suite shipped code, since contrib/libtests declares its sources the same way the library does. interprocedural regions 25 -> 1 taint query 300.1s -> 125.0s total query 311.9s -> 138.5s regions 121 -> 121, unchanged by design The surviving interprocedural region is contrib/tools/pngfix.c:main, which libpng genuinely installs. Two rules keep it honest. **Silence is not exclusion**: a project with no build file this can read gets None back and nothing changes, so vampi's numbers are untouched. **Not shipped is not unscanned**: those regions are still arbitrated function-locally, because a contributor editing a test must still get an answer -- what they lose is the expensive treatment and first claim on the budget. Entailed findings went 0 -> 3, and all three are false positives at contrib/gregbook/wpng.c:374, `strcpy(outname+len, ".png")`. It is safe: outname is char[256] and line 325 guards with `if ((len = strlen(inname)) > 250)`. They were not introduced so much as uncovered -- a different callDepth meant a different sink set, and the 26 fgets false positives were masking them. The structural cause is recorded as 2.12: c/injection and c/memory carry ZERO sanitizers, so no C flow can ever be discharged and every `argv -> strcpy` entails however carefully it is bounded. The discharge here is not a call but a guard that dominates the sink, which is precisely what dominance.sc already does for access control and is wired to that one family. Also adds Group 7, five tasks for stopping the same false positive twice. Two of today's three false-positive classes were one bug in three matchers -- `resolve` in `resolveUrl`, `user` in `users`, `gets` in `fgets` -- each fixed locally and each next one surviving because nobody carried the fix across. A model may group counter-examples by cause and draft an edit; only a split-respecting measurement may adopt one, because the predecessor's improve lever admitted shapes taught by the holdout pairs they then recovered and turned a -0.059 Youden into +0.059. Gates byte-identical. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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67497c4d68 |
fix(cpg): a sink is matched as a word, not as a substring
`fgets` contains `gets`. The sink matcher's last clause was an unbounded
`methodFullName.contains(n)`, so every bounded read in libpng matched the
sink for the unbounded one. All 26 entailed findings on that repository
were the same false positive:
*argv -> fgets(pnmline, 256, wpng_info.infile) (line 335, 8 steps)
which is the safe API being reported as the dangerous one -- and `fgets`
is in the fact tables as a SOURCE, never a sink. Verified against the CPG:
methodFullName is exactly "fgets", and .contains("gets") is true.
Third instance of one bug class in this codebase, after the sanitizer that
matched `resolve` inside `resolveUrl` and the discharger that matched
`user` inside `users`. The sink matcher had never been given the same
treatment. All four of its clauses now run through the shared bounded
matcher, and that matcher is the punctuation-tolerant version written for
task 2.6 -- so `input(`, which an unconditional lookahead had made
unmatchable in `input(x)`, works for the first time as well.
libpng entailed 26 -> 0
Zero is the right answer for a PNG library whose only known CVE is out of
family. Gates byte-identical, so no pair outcome depended on the substring
match.
What remains on that scan is recorded, not claimed: 113 `c-unsafe-*` rows
assert an API is present rather than misused, and 50 overlay-coverage rows
are annotations rather than findings. 82 of the 113 are under `contrib/`.
Task 2.11 covers whether that band is worth putting in front of a
contributor at all; 2.10 already covers not scanning example code.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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68b4e551f3 |
feat(model): the envelope checkout, and no to Joern server mode
contributor-scan 2.2 for libpng and the 2.3 decision it exists to inform. 89,082 lines of C across 93 files, under a 2GB heap cap: CPG build 16.1s (25s cold) Joern queries 250.0s arbitration 122.0s (105 calls, $0.0122) whole scan 446s peak RSS 911MB regions 121, all arbitrated, 32 unasked CVE-2025-66293 out_of_scope, as the recipe declares Memory is not the constraint a fleet runner would hit: 911MB leaves room for the rest of the job on a 2-vCPU/7GB runner. The memory pressure seen while building this was concurrent JVMs on one desktop, not repository size. **Server mode: no.** The query phase splits taint 243.3s / config 10.7s over two invocations, and fixed overhead measured on the same CPG is ~13s per invocation. So ~26s of the 250s is JVM startup and ~224s is CPGQL evaluation: a warm server removes 6% of the scan and none of the part that costs. The driver now records query seconds per kind, because a single total cannot tell startup from evaluation and the two answer this oppositely. The small repository pointed the other way. vampi's 34.3s over three kinds is roughly three startups and almost no evaluation, which made a warm JVM look worth having; the ratio inverts with size. That inversion is why the task was sequenced after a real repository rather than decided on a 520-line file. On whether one whole-repository CPG is the only shape for a horizontal fleet: no, and it is also not where the pressure is. The build parallelises and costs 16s; the query does not shard and costs 250s, so splitting a repository across runners divides the cheap phase -- and after 2.4 a shard boundary hides exactly the cross-module flows that matter. Scoping to a contributor's diff cuts the expensive phase instead. 911MB for 89k lines extrapolates to roughly 5GB at a million lines, which would exceed a standard runner, so the ceiling is real and further out than this checkout can locate. Two defects recorded rather than fixed, both invisible at vampi scale: 2.9, all 26 entailed findings are the same site reported 26 times, because regions that share a sink each emit their own; and 2.10, 22 of the 30 highest-ranked regions are libpng's `contrib/` example programs rather than the library. Also ignores Joern's `workspace/`, which a maintainer querying a CPG by hand from the repository root will create. Gates byte-identical. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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d15985f695 |
fix(model): a guard discharges the obligation it is a guard of
contributor-scan 2.6. Access control entailed 7 of 9 VAmPI handlers,
including three that do authorize and three the OpenAPI spec declares
public. Five separate defects, each invisible to a corpus of one-function
excerpts and each found by asking the query what it actually matched.
**A trailing segment is not a match.** `query.get` was matched by its last
segment, so every `.get(` in the repository became a protected database
operation -- `request.headers.get('Authorization')` and
`request_data.get('username')` included. Four of the seven false positives
came from this, and so did the apparent detection of the known BOLA: it was
entailed because fetching the Authorization header had no dominating guard,
not because of the defect. A qualified token now requires its qualifier.
**Configuration is not authorization.** dominance_specs took every
obligation fact. `security_setting` operations are discharged by a VALUE,
which config_specs already claims them for; pooled in here they made
`app.run(...)` an operation requiring an authorization guard and put
thirteen tokens in BOTH lists -- an obligation that is its own discharge,
the same shape as the taint sink that used to sanitize itself.
**Input validation is not authorization.** `jsonschema.validate` was
counted as a guard, so handlers with no authorization check at all read as
guarded. No operation in the table requires validated_input.
**A guard discharges the obligation it is a guard of.** The largest one.
`orm-read` requires an identity_constraint or an ownership_check;
`token_validator` is a path_guard. Flattened into one list, authenticating
the caller discharged an object-level obligation -- a handler that
authenticates and then looks the record up by a PATH parameter read as
fully guarded. The facts state that relation and the spec was discarding
it; it is now carried and the engine asks per operation.
**A word boundary needs a word.** Found while fixing the above. Guard
matching wrapped every token in `(?<![A-Za-z0-9_])...(?![A-Za-z0-9_])`.
The identity token `['sub']` begins with `[`, and the character before it
in `resp['sub']` is `p` -- so the assertion could never hold. Every
identity token starting with punctuation was unmatchable, and the identity
constraint that separates a correct lookup from an IDOR was invisible.
Also: dominance rows were repository-wide, so the model's unguarded
`delete_user` was attributed to the API handler of the same name. Rows are
scoped to the region's file, which is what the rung's own justification
says -- the evidence is a file contradicting itself.
Measured against VAmPI's OpenAPI `security` blocks, which declare per
operation whether auth is required, and agree with the code:
vampi precision 28.6% (2/7) -> 50.0% (2/4)
known found 3 of 3, all model_entailed
And on the labelled access-control pairs, which nobody tuned this against:
all 9 pairs pair_correct 3 -> 3, leak 44.4% -> 11.1%
7 non-VAmPI pair_correct 2 -> 2, leak 42.9% -> 0.0%
Every detection lost was on a pair whose FIXED side was flagged too, which
scores nothing. No correct detection was traded for the precision.
get_by_title was flagged before it was in the recipe: its code carries the
comment "# Broken Object Level Authorization" and the README lists it, so a
real finding was being scored as a false positive. It is now the recipe's
third known vulnerability.
Both remaining false positives are endpoints the spec declares public.
Recorded as 2.8, with the reason the mapper's access_level cannot simply be
trusted: for decorator frameworks "public" means "no decorator found",
which is the bug itself.
Gates byte-identical.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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0fcd5feade |
feat(model): a region for the code that is in no function
contributor-scan 2.5. VAmPI's `host='0.0.0.0'` is now reported exactly once, at app.py:17:<module>. Before task 2.2 it was reported eight times in eight files that do not contain it; after 2.2 it was reported nowhere. Two causes, one shape: nothing could ask about module-level code. **The main-guard marker is not a function.** `__main__` is what the mapper emits for `if __name__ == '__main__':`. Sent to the engine as a function name it matched nothing, because a CPG calls a file's top-level code `<module>` -- verified against the VAmPI CPG rather than assumed. The region model translates the marker, which is the one place that turns what the mapper meant into what the scanner asks. **A function-scoped file had no region for its module body.** Settings, route registration and globals live in no function, and every region's query filters by function name. A file-level region beside the handlers would report each handler's findings a second time, which is why the earlier rule dropped it as "a second full-file pass". A module-scope region PARTITIONS the file instead of overlapping it. That only became cheap after batching: before it, a region was a JVM. Two things this needed to be correct rather than merely present: - A module method spans its whole file, so the taint query's line-range containment made `<module>` the parent of every function in it. Under module scope, membership is direct -- otherwise the module region reports every handler's sinks again, which is the duplication the old rule was avoiding. - A module body is not a handler. The marker-derived region inherited the handler families and entailed a missing authorization check on the main guard: a finding with no possible remediation. Caught by the first repository run that had the region, and now covered by a test. bind address 8 wrong files -> 0 -> 1, at app.py:17:<module> regions 22 -> 25 entailed 8 -> 9 query time 37.4s -> 41.3s peak RSS 827MB -> 823MB cost $0.0067 -> $0.0068 Three more regions for four seconds and no more model calls: the budget is a total and was already spent, so regions_unasked rose 17 -> 20 -- those regions got the free pass and are reported as unasked, not as clean. `<module>` is Joern's Python name for a module body; JavaScript uses `:program`, so this is verified for Python only. Gates byte-identical. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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ca7b5ba370 |
feat(model): a region that spans the flow, not just a function
contributor-scan 2.4, closing the no-go task 2.2 recorded. VAmPI's SQL injection is a request parameter reaching `get_by_username` in api_views/users.py, passed to `User.get_user` in models/user_model.py, interpolated into a query string and executed there. Source and sink are in different functions and different modules. Regions were per-function, so neither region saw both ends and the engine was silent on the most ordinary shape a real injection bug has. `reachableByFlows` was never the limitation -- it follows calls already. The limitation was the QUESTION. Sinks were filtered to the labeled function's own body, so a crossing flow had no sink to end at. Three changes, each with a reason it is sound rather than convenient: **An entry point is the trust boundary.** parameter_sources was off for repository scans because a repository's parameters are not all attacker input. An entry point's are, by definition -- that is what makes it an entry point. The driver turns it on only for regions the mapper found and named, and leaves it off for walker fallbacks and for named functions that are not entry points. **Sinks may sit below the handler.** taint.sc admits sinks in methods reachable from the labeled method through the call graph, bounded at ENTRY_POINT_CALL_DEPTH = 3: handler -> service -> data access, which is where these bugs live. Unbounded would make the question about most of the repository rather than about this entry point, and make it unaffordable. **The finding names the sink, not the asker.** A crossing flow ends in another file and another function, so Verdict carries the evidence's own `path:line:function` and the site uses it. Reporting `models/user_model.py:73:get_by_username` would name a place that does not exist: line 73 is inside get_user. Also: labeled methods are now resolved by name AND file. `get_user` exists in more than one module of a real repository, which a corpus of one-file excerpts could never surface. Measured on the same checkout and budget as 2.2: VAmPI-SQLI missed -> model_entailed at models/user_model.py:73:get_user known found 0 of 2 before 2.2's fixes, 1 of 2 in 2.2, 2 of 2 now entailed 7 -> 8 query time 40.9s -> 37.4s peak RSS 869MB -> 827MB cost $0.0067, unchanged Asking the bigger question cost nothing measurable here: file scoping and call-graph following pull in opposite directions and roughly cancel at this size. That is one 520-line repository, and VAmPI is now the repository this change was developed against -- the exact overfitting shape Req 8 exists to catch. The depth bound and the entry-point rule mean nothing general until a checkout nobody tuned against says so. Gates byte-identical. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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177c7f3719 |
feat(model): first repository measurement, and the four things it found
contributor-scan 2.2. VAmPI at a pinned commit, scanned whole rather than as excerpts, with benchmarks/repos/measure.py recording build time, query time, arbitration time, peak memory, cost, unjudged regions, and whether each known vulnerability was found and at which rung. The corpus could not have found any of this. Every defect below needs a repository to become visible, and three of them were invisible behind a passing test suite. **The batch path was unreachable.** query_batch was implemented, tested and committed while CpgResult exposed only `run`, so the driver's capability check found nothing and fell back to one JVM per region-family: the first attempt at this measurement ran eighteen minutes on 520 lines, issuing `--param function=` one at a time. Every test called query_batch directly, so none of them noticed. CpgResult now carries run_batch and a test asserts the capability is reachable through the object the driver is handed. The earlier 275s->106s improvement attributed to batching came from region deduplication alone. **The budget stopped free work.** It bounds model calls, but was enforced by breaking the region loop -- spending a paid limit to stop unpaid CPG arbitration. 6 of 22 regions were examined and VAmPI's BOLA, which the graph entails for nothing, was never reached. It now withholds the judge only. 22 of 22 regions arbitrated, 17 counted as regions_unasked (silent because unaffordable is not silent because decided), and the BOLA is entailed by the model layer. **A region with no function asked about the whole repository.** Sending function="" matched every hit in the tree and the driver attributed that answer to whoever asked: one `host='0.0.0.0'` in app.py became eight identical entailed findings in eight files that do not contain it. Queries now carry the region's file. Entailed findings 14 -> 7, query time 70.9s -> 40.9s. The single-request form stays unscoped so the committed pair measurements remain reproducible. **The JVM had no heap bound.** Joern claimed a quarter of physical RAM and runs were killed under memory pressure at different points, so the numbers described the host rather than the engine. -J-Xmx2048m by default, OPENULTRASAST_CPG_HEAP_MB to raise it. Also: arbitrated findings carried `function:line` where the report layer read `path:line`, so every entailed finding reached a contributor with a function name where its file belonged; and the witness line was parsed by splitting on a comma, which produced sites like `config.py:17): permissive literal '0.0.0.0':?`. Reading: GO on one CPG per repository -- 6.2s to build, 177s end to end, 869MB, $0.0067, nothing infeasible. NO-GO on region-scoped taint as the only shape: VAmPI's SQL injection runs from a handler parameter into a function in another module, and a per-function region sees neither end. That is the ordinary shape of a real injection bug, so it is recorded as task 2.4 along with three smaller defects this run exposed. Gates byte-identical. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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8c387306be |
feat(repos): pinned known-vulnerable checkouts, offline by default
The pair corpus scores excerpts: a vulnerable function and its fixed twin, handed to the engine with the answer already narrowed down. Nothing in it exercises a repository -- region ranking, the budget, one CPG over thousands of files, or whether a verdict that holds on fifteen lines still holds when the source, the sink and the guard live in three modules. benchmarks/repos/<name>.toml names a real checkout: url, a full 40-char commit SHA, licence, and every known vulnerability with its file, function and line. `ousast repos` lists them; `--fetch` materialises one; CI does neither, and conftest clears the switch and redirects the cache so a developer with warm checkouts cannot read them by accident. Three rules the loader enforces rather than documents: - A branch or tag is rejected. Either would make the same recipe mean different code next month while the baseline it produced kept the old numbers. - `in_scope` must be stated per vulnerability, never defaulted. It decides whether "not found" is a miss or a non-question, which is the most important thing about the result. - A recipe that declares `detection` must name something in scope to detect. `ousast repos` does not trust a recipe either: against a materialised checkout it checks HEAD against the pin, that the licence file is there, and that each declared function appears above its declared line. That earned its place immediately -- the first libpng recipe named LICENSE.md, which is the filename at HEAD today and not at the pinned commit, where it is still LICENSE. Two checkouts, verified against the real repositories: - vampi (MIT, 520 lines) is the DETECTION checkout. Excerpts of it are already in the pair corpus, including the update_password miss diagnosed earlier, so a whole-repository run says directly whether a verdict survives the move off the excerpt. Its routes register through an OpenAPI operationId, so it exercises registration-based entry-point mapping rather than the decorator path. - libpng (libpng-2.0, 91k lines of C) is the ENVELOPE checkout, pinned at the parent of the commit that added the missing clamp. Its CVE is marked out of scope: an out-of-bounds read is not a family this engine arbitrates, and recording "not found" against it as a miss is the easiest way to make a measurement lie. Nothing is vendored; the recipe records the licence so an artifact can say what it ran against. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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c35426e186 |
perf(model): one Joern invocation per query kind, not one per region
JVM startup dominated a scan: a call per region per family put a ten-line file at 275s over three regions, and would have put a thousand regions at roughly fifty hours. The queries themselves are milliseconds once the CPG is loaded, so the cost was almost entirely process starts. scan_repository() is now collect -> batch -> arbitrate. The three .sc scripts accept a `requests` JSON map and answer all of them in one run, keeping the single-request form so the committed measurements stay reproducible byte-for-byte. Arbiters are untouched: each is handed a CpgResult whose `run` returns its own prefetched rows. The batcher builds parameters by calling request_params() extracted from taint.py, dominance.py and config_value.py rather than reconstructing them. A second copy that drifts from the arbiter's is the exact shape of the five family-assumption bugs the predecessor spec spent a session finding; there is now one definition per family and the batcher borrows it. Regions are also deduplicated by (path, function), collapsing the nameless entry-point rows that were producing `model:injection:?:10`. Measured on the same ten-line file: 275s -> 106s, three duplicate findings -> one `model:injection:ping:10`, rung unchanged at model_entailed. Gates byte-identical. Server mode is recorded as task 2.3, deliberately sequenced after the repository measurement: whether the remaining ~100s floor is worth a process model, a weakened subprocess seam and a Scala-evaluating HTTP endpoint depends on a build-time-to-query-time ratio only 2.2 produces. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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e67f3ee2f0 |
feat(contributor-scan): 1.3 the model layer reaches a user
`model-grounded-detection` finished 16/16 with the model layer having zero
production callers. This closes that. A real scan of a Flask file now reports:
by_rung: {"model_entailed": 3, "model_corroborated": 0, "suspicion": 0}
model:injection:ping:10 <- os.system("ping -c 1 " + request.args["host"])
The stage is the fifth MAP proposer, mirroring _check_obligations, and is
additive: pattern, overlay and obligation findings all keep working, and without
a CPG engine it records cpg_unavailable and changes nothing else. Two scan
integrity tests pin the exact degradation set and both broke -- correctly. Their
`requested == baseline` assertion, that findings are byte-identical, still
passed, so the only change is that the scan now SAYS the arbiter was absent
instead of being silently without one. The guards are updated to assert the
model degradation specifically rather than being loosened.
ModelLayerConfig, not ModelConfig: that name is already the [models] block, and
the type checker caught the collision immediately. Two meanings of one name is
how a scan silently reads the wrong settings.
Every payload carries the same shape, skipped ones included. A payload that is
sometimes a full record and sometimes a single "skipped" key is how a report
ends up quietly omitting a section.
unjudged_sample names the lowest-ranked regions the budget did not reach.
Counting them is the honesty requirement; naming them is what lets a maintainer
write a large-repository exclusion list from evidence rather than guesswork.
The run also produced the finding behind new task 1.4: 275 seconds for a
ten-line file. cost_usd is 0.0, so those 21 invocations were not model calls --
they were Joern query launches, one per region per family, each a JVM start.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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8663c1a5b3 |
feat(contributor-scan): 1.1 regions from entry points, 1.2 the repository driver
Pair scoring could rely on a labelled function; a contributor cannot supply one -- which code is risky is the question they are asking. Regions now come from entry points, with a file-level fallback that says it is one, and each carries only the families its shape and language admit. Ranking uses what EntryPointRecord already decided (access_level, trust_boundary) rather than a second opinion computed from the same evidence. A family is offered only where its arbiter could answer: access_control needs a handler, so a library file with no entry point is not asked about obligations it has no siblings to be inconsistent with. The driver makes the two costs that were free at pair scale explicit. ONE CPG per repository, reused across regions -- a build is 5-30s on a forty-line excerpt and per-region builds would make this unusable. And a budget that is a TOTAL for the run rather than the enumerator's per-region cap of eight, spent highest-rank-first, with whatever it does not reach counted into regions_unjudged. A tool that silently analyses a tenth of a repository and reports a clean result is worse than one that says what it skipped. Two flaws the tests caught, both mine and both about ownership: the budget counted calls by reading a client's own usage log, so it silently never tripped for a client that keeps none -- the driver now counts its own spend through a wrapper; and the driver trusted its caller to have sorted, when the order the budget is spent in belongs to whoever holds the budget. The third was worse and only surfaced because a test failed for the right reason: the driver passed candidates=() and never enumerated, so a repository scan would have reported only what the arbiters establish unaided and never populated the suspicion band -- which supplied 15 of 26 findings in the pair measurement. It enumerates now. Sibling audit (Req 8.5) done before writing: family routing lives in exactly one production place, pipeline._arbitrate, dispatching on spec type. regions_for returns family names and the driver resolves specs, so that stays true. 750 passing, mypy clean over 96 files, gates byte-identical, zero orphans. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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fe45081b43 |
fix(ci): run ruff format, and record run 5 at 90% pair-correct
CI was red on `ruff format --check`: 23 files. I ran `ruff check` after every
change this session and never once ran `ruff format --check`, though CI runs
both. Lint passing is not formatting passing, and I treated one as evidence for
the other for the whole session.
Formatting applied. The full CI sequence now reproduces locally: format, lint,
mypy over 94 files, 735 tests, three gates byte-identical, compileall, and the
semantic job's 16 marked tests.
Also records run 5 of the pipeline measurement, which the vampi fix lifted as
predicted:
hunter (K=5) pipeline (K=1)
pair-correct 76.7% 90.0%
leak 12.3% 6.7%
detection -- 96.7%
cost ~$0.69 $0.0068
27 of 30 pairs. Five runs, each step from a measurement contradicting an
assumption: 73.3 (no pipeline path) -> 73.3 (routing fixed, IDENTICAL, which
exposed the discarded verdict) -> 80.0 (residual question matched to its
arbiter) -> 86.7 (aiohttp settings) -> 90.0 (dominance question no longer
contradicting its own evidence).
One miss left: dsvpwa-dsvpwa-main, whose setting is an argparse --ssl default
rather than a security-setting call. Out of reach before the settings work and
still is; contorting the arbiter around one pair would be worse than the miss.
The caveat is recorded beside the number: 30 pairs of one slice, and the slice
iterated against all session. The +16% overfitting gap against vfc-js is why
contributor-scan Req 8.1/8.2 exist.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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3fe7b9ded7 |
fix(model-grounded-detection): the dominance question contradicted its own evidence
vampi-users-update-password scored both_silent while the arbiter returned model_corroborated on the vulnerable side and nothing on the fixed one -- so the finding existed and the pipeline threw it away. The residual question was written for the ENTAILED case, but entailed returns before the judge is ever consulted, so the question is only ever asked for CORROBORATED. It asserted "in a file where sibling handlers are guarded" and asked about "the guard its siblings have", printed directly above a witness reading "and no guarded sibling" -- because corroborated means precisely that no sibling is guarded. The judge was handed a prompt contradicting its own evidence line and reasonably answered no. The question now describes what corroborated actually is: an obligated operation no guard governs, with no sibling evidence either way, so the model cannot tell from consistency alone whether the guard is missing or the module is deliberately public. That is the real open question and the one worth asking. Verified end to end against a live endpoint: vuln model_corroborated, fixed silent, the pair splits. The taint and config questions were checked for the same defect and are correct -- each describes the corroborated case it is actually asked about. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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db3db6056d |
feat(model-grounded-detection): widen the settings table, wire the weak-algorithm arm
Two things, and a finding that says neither fixes the pairs that prompted them.
The settings table was Flask/FastAPI-shaped (CORS, set_cookie, app.run) while
the corpus contains aiohttp and Django applications, so three config_secrets
pairs contained no modelled security setting at all. Added aiohttp's
session_setup and cookie storages and Django's SECURE_* / DEBUG settings: 8
calls to 24.
And config_secrets spans three abstractions while only one was wired -- a
permissive setting VALUE. Weak algorithm CHOICE (CWE-326/327) is a different
thing: the danger is the algorithm NAMED, not a flag left open. Its data has
been sitting on the sink facts as `weak_literals` since before this feature and
nothing read it. Both abstractions read the same literal, so the arm is small:
hashlib.new("md5") is now entailed and hashlib.new("sha256") is not.
The finding: the three silent config pairs are CORPUS DEFECTS, not model gaps.
Measured similarity 23%, 45% and 53% -- dsvpwa-dsvpwa-main pairs `def main()`
against `def run(self, handler)`, a different function entirely. No settings
table can make those split, and it is worth saying so rather than letting the
work imply otherwise. The table gap was real and worth closing on its own
merits; it just is not why those pairs are silent.
734 passing, mypy/ruff clean, gates byte-identical.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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52f2ab5b4d |
fix(model-grounded-detection): ask the residual question the arbiter actually raised
The corrected re-measure returned numbers IDENTICAL to the buggy one, which was the clue. Routing was fixed, the dominance arbiter was reached, and the finding was discarded anyway -- because every corroboration was put to the judge as a TAINT question: "a sanitizer appears on the path: yes, does it suffice?". For a missing authorization guard that question is meaningless. The judge answers no to something that does not apply and the claim is dropped. All three vibe-py access_control pairs scored both_silent this way even though the dominance arbiter had returned model_corroborated for each of them, which I had verified by hand earlier in the session. Fourth instance in this feature of one shape: taint-specific behaviour applied to every family. Sanitizer matching, config routing, family dispatch, now the residual question. Each was exposed by a measurement rather than by a check. The question is now phrased for the arbiter that raised it -- a guard asymmetry for dominance, a permissive setting for constant abstraction, sanitizer sufficiency only for taint. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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7a76fcb028 |
fix(model-grounded-detection): the pipeline arbitrated only flow families
scan_region took a TaintSpec and called taint_verdict, so access_control and config_secrets -- whose dominance and constant-abstraction arbiters have worked since group 4 -- had no pipeline path at all. On the first end-to-end vibe-py run every one of their pairs scored `both_silent`, which reads as the model failing when in fact no code reached the arbiter. This is the same class as the ceiling harness routing config_secrets through taint: family routing fixed in one place and not carried to the other. Third time this shape has appeared in this feature, which is worth saying plainly. Dispatch is on the spec TYPE rather than a family name, so a family without an arbiter cannot be silently routed to the wrong one -- it simply has no spec and is skipped, visibly. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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cdedb372dd |
feat(model-grounded-detection): wire the detector -- the enumerator proposes, the model disposes
Everything before this built an ARBITER: something that judges a flow taint
reachability had already found unaided. Nothing proposed to it. That is why its
recall was never comparable to a detector's, and why comparing 41.3% entailment
against the LLM hunter's 76.7% pair-correct was comparing two different kinds
of thing. model/judge.py and enumerate_candidates were called by no production
code at all; every number so far came from a measurement harness.
The wiring turns on a distinction judge() alone conflated:
the model CONTRADICTS it has coverage at this site and says no -- a
sanitizer on the path, or a declared-safe sink shape.
The claim is dropped (Req 8.2).
the model CANNOT DECIDE no modelled sink or source reaches the site at all.
The model is SILENT, not negative, so the claim is
reported at `suspicion` (Req 8.4).
Treating silence as refutation is the tempting mistake and would be wrong here:
23 of the 39 misses in the entailment ceiling were sinks simply absent from the
fact tables, so "no flow" usually means the model cannot see it rather than
that nothing is there. The rung carries that uncertainty on the finding's face
instead of a confidence score nobody can act on.
An entailed site still costs zero model calls. The candidate budget is bounded
so a dense region cannot become an unbounded spend.
Smoke-tested end to end against a live endpoint: 2 pairs, detection 100%,
$0.0024. The full vibe-py measurement -- the first like-for-like comparison
with the hunter's 76.7% pair-correct and 12.3% leak -- is running.
727 passing, mypy/ruff clean, zero orphaned modules.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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1af3db37f6 |
feat(corpus): vendor 40 OWASP xss pairs as the owasp slice
output_encoding had exactly ONE pair in the whole corpus. It now has 41. 238 pairs were harvested from OWASP BenchmarkJava (2740 generated servlets, GPL-2.0, with a ground-truth CSV) by matching each really-vulnerable test to the safe test of the same category it most resembles -- adjacent tests come from one template, so they differ in the sink or the sanitiser rather than being unrelated programs. Median similarity 0.91, against the 64% of the older `sast` OWASP entries that the group-4 stratification flagged as different programs. Only 40 are vendored. One representative of each of the seven categories was run through the model BEFORE vendoring, and only xss distinguished: its fix adds ESAPI encoding, which the Java sanitizer facts recognise, so the vulnerable side entails and the fixed side drops to corroborated. cmdi, sqli, ldapi and xpathi put the sink in a helper class outside the servlet and resolved no flow at all; pathtraver found the flow but its "safe" twin carries no distinguishing call, so text similarity had matched a twin that is not semantically the fix -- a subtler form of the very defect the harvest was designed to avoid. Those 198 pairs are deliberately left out: adding pairs the model cannot read would inflate the corpus while making every number less interpretable. Evidence for the vendored slice is 3 of 3 distinguished, which is a small sample and is stated as such in the catalog header rather than implied to be more. The slice is marked SYNTHETIC in its header: it measures breadth across a weakness class and must never stand in for real-world performance. The corpus already shows a +16% overfitting gap, and a large generated slice blended into a headline would widen it invisibly. Two things recorded rather than hidden: BenchmarkJava's LICENSE is GPL-2.0 while the older sast entries declare GPL-3.0 for OWASP, which looks like an error and is not copied; and OWASP-Benchmark/BenchmarkJava already straddled the train/holdout split before these pairs (owasp-java-cmdi train, owasp-java-sqli holdout), so the new all-holdout pairs enlarge an existing straddle rather than create one. The two vendored-count guards did their job -- a corpus change could not land silently -- and are updated as the acknowledgement. Hygiene artifact regenerated: 277 -> 317 vendored pairs. 720 passing, mypy/ruff clean, gates byte-identical. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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0c71c956fd |
feat(model-grounded-detection): group 6, the execution tier as a seam not a build
The rung this project deliberately does not build. Clearwing already runs sandbox lifecycles, container pools, sanitizer images, PoC replay and stability classification, and the corrective brief concluded -- from this project's own defect history -- that reimplementing that machinery is where we go wrong. So model/execution.py decides eligibility, calls an adopted tool, and records what happened. A test asserts structurally that it imports no container or subprocess machinery and defines no build/run/compile/patch function, because the failure mode to prevent is this file quietly growing a sandbox. Eligibility is narrow in both directions: only a family a static model cannot arbitrate (memory safety in C, where the bug turns on runtime layout -- Req 10.3 forbids any web/logic family depending on this tier, and each now has taint, dominance or constant abstraction instead), and only a finding the model left undecided. The tier escalates uncertainty; it never re-checks a verdict. One deliberate asymmetry: a failure to reproduce is NOT a refutation. A sandbox that does not trigger a bug has not shown the bug is absent, only that this attempt did not trigger it, so the candidate stays where the model left it. Reading a failed reproduction as a clean bill of health is the same error class as reading an absent engine as "no vulnerability". With no adopted tool present -- the normal case -- the rung is never reached and clearwing_unavailable is recorded. All 16 tasks of model-grounded-detection are now done. 720 passing, mypy/ruff clean, gates byte-identical, zero orphaned modules. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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f1c341df6c |
feat(model-grounded-detection): group 5, corpus calibration and honest reporting
5.1 inverts what the corpus is for. Previously a pair the detector missed was a
DETECTOR failure, to be averaged away over K runs and chased with a prompt
change. The arbiter is deterministic: it will miss that pair the same way every
time, and the only thing that moves it is better modelling. So a pair the model
cannot split is a NAMED GAP IN THE MODEL, recorded with its reason, and every
gap carries one even when the caller supplies none -- a bare gap teaches
nothing.
`covered` means the model reached a strictly higher rung on the vulnerable side
than on its fix. Flagging both sides equally is not coverage: it distinguishes
nothing, which is exactly what group 2 measured taint reachability doing on
every parameterised SQL pair. The harvest seam takes the fix commit and derives
the vulnerable side as its parent, with the fix diff as the oracle -- nothing
hand-labelled.
5.2 keeps three disciplines from the deleted publish layer, each because its
absence caused a real error here:
* per-slice rows always -- `render` RAISES without them. A mixed headline
once hid agent-written code scoring 44% against the development slice's 83%.
* the overfitting gap beside the headline, and ABSENT rather than zero when a
slice is missing: reading an unmeasured slice as "no overfitting" is the
flattering failure, not a neutral one.
* the rung on every finding, so a suspicion cannot be read as a result.
Run end to end against the committed ceiling artifact, the report says things
worth not hiding: agent-vfc 0/28 covered, vibe-py 40% against vfc-js 24%, an
overfitting gap of +16%, and gaps grouped by family with their reasons --
injection 32 (21 no verdict, 11 distinguished nothing), path 8 (all no
verdict), untrusted_destination 5 (4 entailed on BOTH sides).
713 passing, mypy/ruff clean, gates byte-identical, zero orphaned modules.
A full re-measure with the closure-scoping fix is in flight; these numbers are
the pre-fix baseline and will move.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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d651455d23 |
fix(model-grounded-detection): closure scoping, and the three bugs it uncovered
The group-4 finding: JavaScript is callback-heavy, so the method containing a
sink routinely is not the labeled function. `fs.readFileSync` inside the
callback passed to `fs.stat` has enclosing method `<lambda>0`, and filtering on
`sinkMethod == function` dropped it -- the whole path family measured 0/8.
Scope is now decided by line-range containment within the same file
(astParentFullName is empty for lambdas, so nesting is not readable there), and
reported as `inLabeledScope`; the Python side trusts that flag and keeps the
name comparison only as a fallback, so an engine that cannot report scope never
has its sinks silently treated as scoped. Parameter sources stay bound to the
labeled function's OWN parameters -- a callback's `err`/`stats` are not
attacker input.
Fixing the scope exposed three further bugs, each of which would have raised
the number while making the answer untrue:
* Shortest-flow-wins picked the wrong witness. With closures in scope the
same sink has flows from `req.url...` (10 steps, the vulnerability), `res`
(3) and `this` (7). A flow whose source matches the source model now
outranks a shorter one from a bare captured name; shortest still breaks
ties, so the order stays total and the verdict deterministic.
* The JS fact file had NO sanitizers at all, so no JavaScript fix of any
family could ever be recognised. Added the documented path-normalisation
and HTML-escaping APIs, with provenance.
* Adding them regressed the witness, because `resolveUrl` CONTAINS `resolve`
and the substring test marked the vulnerable flow sanitized. This is the
same bug class already fixed in dominance.sc and not carried across -- the
exact fix-the-instance-miss-the-class failure. taint.sc now matches on word
boundaries too.
And the principled rule the fix turns on: parameter sources are a FALLBACK,
never an override. When a modelled source reaches the sink, those flows are the
evidence; otherwise a captured `res` reaching a sanitized sink reports the fix
as still vulnerable on a flow that names no attacker input.
Also recorded: req.url was NOT wrong as a diagnosis, it was untestable in
isolation -- the scoping bug masked it. Both were needed. On the pair that
motivated all of this:
vuln model_entailed req.url.split('?')[0] -> readFileSync(possibleFilename)
fixed model_corroborated same flow, sanitized by path.normalize
distinguished: true
700 passing, mypy/ruff clean, gates byte-identical.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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eebca3f663 |
fix(model-grounded-detection): the absence arbiter was silencing its own family
Two bugs, together making 4.1 report "no bug" on a textbook IDOR. Both found by running it against a real corpus pair rather than a fixture. 1. constraint_params were treated as dischargers. A field named `user_id` is what an IDOR is MADE OF -- `filter_by(id=user_id)` with user_id off the request is the bug, not the fix. The deleted checker only counted an identity constraint whose value's PROVENANCE was the authenticated context, so the parameter name alone evidences nothing. This is the mirror of group 2's sanitizer bug: a thing that must never count as a discharge, counted. 2. Guard tokens matched as substrings. With `user` in the token list, the string "SELECT * FROM users WHERE id = ?" contains `user`, so the query reported every operation in the handler as guarded. Matching is word-boundary now. On threatbyte-api-v1-delete the arbiter previously found three operations, all "guarded" by evidence like '"SELECT * FROM users WHERE id = ?"' and '(user_id,)', and returned no verdict at all. After the fix, on the real pairs: threatbyte-api-v1-delete vuln=model_corroborated fixed=none vampi-users-update-password vuln=model_corroborated fixed=none Both distinguished, deterministically, with no model call. Corroborated rather than entailed is right for these: they are single-handler excerpts with no guarded sibling to be inconsistent with, which is the asymmetry the rung distinction exists to express. identity_sources still discharge; request_sources and permissive_values remain excluded because they describe the vulnerable shape rather than the fix. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |
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d9ceeb6a09 |
feat(model-grounded-detection): 4.2 constant abstraction, the third arbiter form
A configuration bug has no flow to follow and no guard to dominate.
CORS(app, origins="*") is dangerous because of the value it is SET TO, so the
arbiter evaluates the setting's arguments against the closed permissive set in
the obligation facts -- the third form beside taint reachability and guard
dominance, and the one Req 6.3 names.
ENTAILED a security setting is passed a literal in the permissive set
CORROBORATED the argument is computed, so constant abstraction cannot decide
it -- that residual is the judge's, never silently "safe"
(none) every literal is outside the set, or the call is not a setting
Two Joern node-shape bugs, both found by running it and both of the same class
as group 2's receiver bug -- the graph's indexing is not what the source text
suggests:
* a keyword argument (`origins="*"`) is an assignment-shaped node, so
isLiteral is false on the argument itself and the literal sits in its
subtree; literals are collected from the argument's AST now.
* Joern indexes the receiver at 0, positional arguments from 1, and NAMED
arguments at -1. Settings are configured overwhelmingly by keyword, so
argumentIndexGt(0) -- correct when counting arity for the taint shape test
-- dropped exactly the arguments that matter and every keyword-configured
setting read as "computed".
Live, deterministic, zero model calls:
create_app -> model_entailed CORS(app, origins = "*"): permissive literal "*"
safe_app -> no finding (origins = "https://app.example")
All three arbiter forms now work against a real CPG: taint reachability for the
flow families, guard dominance for absence, constant abstraction for config.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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fec67253f3 |
feat(model-grounded-detection): 4.1 guard dominance, 4.2 the missing sink facts
4.1 is the arbiter for the class no crash oracle reaches. An access-control bug
is the ABSENCE of a guard: no flow to follow, no crash to reproduce. What the
model can establish is a consistency violation -- an obligated operation no
discharging guard governs, in a file where its siblings are governed by one.
"Governed" turned out not to be one relation, and asking pure CFG dominance of
the operation gets two of three shapes wrong. Measured against the real engine:
identity constraint the guard is INSIDE the operation's arguments
filter_by(owner_id = current_user.id)
identity branch abort(403).controlledBy == [note.owner_id != current_user.id]
-- the check runs AFTER the fetch, so it never dominates
the operation, but it controls whether the value escapes
dominating guard a discharger-naming call that dominates the operation
That is why the query uses controlledBy rather than dominatedBy for shape 2.
Two bugs found by running it, both the same class as the sanitizer bug in group
2 -- part of a fact flattened, the part carrying the signal dropped:
* dominance_specs used only `calls` and `decorators`, omitting
identity_sources (current_user, request.user) and constraint_params
(owner_id, user_id) -- which is how an identity constraint is actually
written. The arbiter reported "no guard" on handlers that plainly had one.
request_sources and permissive_values stay excluded: they describe the
vulnerable shape, and including them would let the arbiter read a bug as
its own fix.
* matching operations by code containment yielded four or five desugared rows
per operation (the bare `tmp1.filter_by` receiver among them, carrying none
of the guards the real call has), so a guarded operation could be flagged.
Matching is by call name now.
Live, deterministic, zero model calls:
leaky -> model_entailed no discharging guard, while 2 sibling handlers are guarded
edit_note -> no finding (ownership check controls the denial)
list_notes -> no finding (identity constraint in the query)
4.2 authors the sink facts the go/no-go measured as its largest miss class (11
of 23): Django ORM raw SQL, and the four families that previously had no fact
routing to them by CWE at all -- path, output_encoding, untrusted_destination,
prototype. Each entry is a documented dangerous API of the named library with
its provenance recorded inline, and rule_ids left empty because a sink fact is
not a detection rule. Flagged for maintainer review as data, given the standing
"no LLM-authored patterns" constraint. The exact-set assertion written in task
1.1 to hold this gap open is updated rather than deleted, so it still fails if a
family ever loses its seed.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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b8f8f727c6 |
feat(model-grounded-detection): group 3, the evidence ladder and the judge
3.1 adds StaticFinding.rung beside evidence_level rather than renaming it. The existing evidence_level carries `static_corroboration`, emitted by the flat IR overlay -- a path Req 4.4 demotes to the suspicion band. Restating that as model_corroborated would claim a CPG arbitrated something it never saw, and rewriting every legacy finding to suspicion would be a product-visible regression nobody asked for. So `rung` defaults to suspicion and is raised only by ladder.at_rung(finding, verdict), which is the structural form of Req 5.4: nothing rises above suspicion without a Verdict behind it. The witness travels with the rung, because a rung without its evidence is just a louder assertion. It reaches markdown, JSON and SARIF. 3.2 is the judge, and it is defined as much by what it lacks. Three exhaustive outcomes: the model entails (report it, never call the model), the model contradicts (drop the claim, record why), the model cannot decide (report suspicion). The LLM gets one bounded typed question with tools=[] so it cannot search for the site, asked only about the residual the graph cannot settle -- whether a sanitizer on a REAL flow suffices. Its answer can only confirm a flow the CPG already found; it can never conjure one. Req 8.5 is asserted structurally: a test parses judge.py and fails on any AST name like k_runs/majority/vote/average/acceptance/floor/budget, any for/while loop, or an import from the deleted round machinery. That test first matched the word "votes" in the module's own docstring, which is why it now inspects code rather than text. Verified live against a real CPG, not only scripted rows: vuln rung=model_entailed request.args["name"] -> db.execute(...) fixed rung=suspicion no source reaches this sink model calls made: 0 Both sides arbitrated by the graph with the LLM never consulted -- the thing the prior architecture could not do at any price. 678 passing, mypy/ruff clean, gates byte-identical, zero orphaned modules. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |