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20
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 Marius CiepluchandClaude Fable 5.1
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9a8e9f083f |
feat(ranking): phase 1 -- tier-0 taint requests are no longer asked
A pair with no sink of its family in reach cannot yield a flow, in any
language under any dataflow model, so its taint request is never issued. The
count is recorded as requests_pruned -- exact, so not a degradation -- and a
test asserts that every other pair's request still goes out.
637-file plugin, 500-region budget
tier_counts {0: 2161, 1: 60, 2: 20, 3: 211, 4: 48}
pruned 2,161 of 2,500 = 86% evidence pass 94.5s
taint 339 requests -> 2,400s TIMEOUT
Gate met and exceeded; the scan still does not finish, and the reason corrects
phase 0. "1,148 ms per request" was an average over a 250-request set that was
88% tier 0 and answered instantly; the ~30 real requests in it cost ~9.5s each.
Pruning removes exactly the cheap questions and keeps the expensive ones, so it
cannot make them faster. The honest cost of a taint question that CAN have an
answer is 7-10s at callDepth=3, and that is what phase 2 and 5.13 design
against -- not 1.1s, and not 6.6s either. Both specs corrected.
869 tests pass.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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Marius CiepluchandClaude Fable 5.1
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88ada8e48c |
feat(ranking): phase 0 -- the baseline, the evidence instrument, and a 7x taint speedup found on the way
flow-aware-ranking phase 0: measure before changing anything.
THE BASELINE, committed as benchmarks/ranking/baselines/2026-09-10-access-rank.json
from benchmarks/ranking/position.py, which sorts regions exactly as the scan does:
pmpro 4,463 regions 83.8% at 0.30 CVE at 390 budget_at_recall 391
mwwpform 983 regions 81.7% at 0.30 CVE at 512 budget_at_recall 513
wpstatistics 1,673 regions 75.3% at 0.30 CVE at 503 budget_at_recall 504
vampi 25 regions BOLA at 15, 10; SQLI reached transitively
That corrects the brief's own cross-assessment: "concentration, not inclusion"
was measured on pmpro alone. On the other two plugins the CVE sits OUTSIDE a
500-region budget and is never examined; the slices found those CVEs only
because a slice has too few regions to exclude anything.
THE INSTRUMENT: `evidenceOnly` mode on the taint query -- what is in scope,
which sink calls, what shape, whether a sanitizer wraps THEIR argument, whether
a source is local or reachable -- returning before reachableByFlows is ever
called. model/evidence.py turns its rows into a vector per (region, family)
and a tier; scan.py records every pair's tier on the result and acts on none of
it. Every later phase is measured against a record made by scans that did not
know they were being measured.
2,500 pairs in 98.9s incl. JVM load, ~40 ms per pair
tier 0 -- no sink of that family in reach: 2,161 of 2,500 = 86%
Two earlier attempts ran past an hour each with no payload, and both were my
fault: repository-wide walks repeated per request -- the sink scan, the
reachable-method BFS, familyInRepo. Memoised across the batch.
AND THE SAME FIX REACHES THE DATAFLOW MODE. sinkCalls and reachableMethods do
not depend on the family, and were recomputed for all 2,500 requests. The
identical 250-request set with both joins on:
2,026.3s -> 287.0s 8,105 -> 1,148 ms per request same 5,779 rows
Most of what 5.13 measured as "the base taint query" was never dataflow. A 7x
speedup with nothing about the analysis changed; both corrections recorded in
the specs. Combined with 86% tier 0, the whole-repository taint query that
timed out at 40 minutes is ~339 real requests at ~1.1s: about six minutes.
Also: the module audit manifest is regenerated (91 load-bearing, 7 standalone,
0 orphaned) because evidence.py is now imported by the scan, and the
failed-query test is order-independent since the evidence pass records its own
failure before taint's.
869 tests pass; query compile test 4 passed; gates byte-identical.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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Marius CiepluchandClaude Opus 5
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f496f41be1 |
fix(cpg): reclaim the scratch tree, and sweep what earlier runs abandoned
Every build allocated a temp directory for the graph, its request files and
joern's own working copy of the CPG. Nothing ever reclaimed it. A day of
scanning left 1,055 directories and 355MB in /tmp on a disk already at 95%,
and the runs that leaked hardest were the ones that FAILED -- which is exactly
backwards, since a failed scan has the least to show for the space it took.
Two mechanisms, because they cover different deaths:
* `CpgResult.cleanup` disposes of the tree, and `scan_repository` calls it
when the graph has answered everything it is going to. Never raises: a scan
that found things must not fail while tidying up.
* A sweep at build time removes trees older than six hours. A process killed
mid-scan never runs its cleanup -- which is how most of the 1,055 died --
so the disposal alone is not enough. Only directories under the system temp
root carrying this module's own prefix are touched, and a scan running in
another process right now is left alone.
Note for the record what was NOT a product leak: 6.3GB of /tmp/joern-cli-*
was three copies of the Joern CLI I made by hand during today's container
experiments, and 63MB of workspace/ in the repo came from running joern from
the repo root instead of a scratch directory. The product already runs joern
with cwd set to the scratch tree, so its workspace is contained and now
disposed with it. Both are cleaned up; neither was the code's fault, and
conflating my litter with its leak would have hidden the real one.
Disk went from 6.1GB free to 19GB.
857 tests pass.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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Marius CiepluchandClaude Opus 5
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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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Marius CiepluchandClaude Opus 5
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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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Marius CiepluchandClaude Opus 5
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7f83977add |
perf(model): stop sending 42MB of the same string, and stop enumerating for nobody
Two defects the first whole-repository scan made visible. It ran for 23
minutes over Paid Memberships Pro and decided nothing.
**The batch was 97.5% duplication.** `hookCallbacks` describes the REPOSITORY,
not the region, and I put it in every request when the hook half landed. On a
637-file plugin that is 16,270 characters repeated across 2,500 requests:
taint-requests.json 42.5 MB, of which 41.7 MB is one string over again
Joern parsed that with ujson inside a 2GB heap and the batch died in
ForkJoinPool. The driver reported `query_failed` for all 2,500 regions, which
was the honest answer to a question that never should have been asked that
way. Repository-wide fields are now hoisted to a single `--param`, and only if
they are identical across the whole batch -- a field that genuinely varies per
region stays where it belongs.
**Arbitration spent 737 seconds enumerating candidates nobody would read.**
Candidates exist to be put to the judge, and `scan_region` discards them the
moment there is no judge to put them to -- but the driver enumerated them
first regardless, parsing each region's file once per family. With the budget
at zero model calls that is 2,500 parses whose results are dropped on arrival.
build 264.8s query 401.3s arbitrate 737.3s total 1403s
Nobody should pay for a question nobody will ask.
848 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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Marius CiepluchandClaude Opus 5
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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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Marius CiepluchandClaude Opus 5
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d6908f18ba |
feat(cpg): the hook half — CVE-2022-25148 found across an add_filter/apply_filters edge
The last of the three WordPress flaw classes 5.8 measured as missed. The
value crosses a registry inside WordPress core:
add_filter('wp_statistics_current_page', array($this, 'set_current_page'));
return apply_filters('wp_statistics_current_page', $current_page);
php2cpg drops the callback argument entirely -- the CPG holds
`add_filter("wp_statistics_current_page", )` -- so the edge cannot come from
the graph at any price. It comes from the source text instead, where both ends
are literals, via `mapping.php_hook_callbacks`.
vulnerable fixed
wpstatistics 3 entailed, incl. pages.php:225:record 2, that one absent
mwwpform 1 ($this->attachments) 0
pmpro 18, incl. CVE at :936 1
VAmPI 4 unchanged
The correctly-prepared sibling query one line below the CVE is not flagged on
either side.
Four things this cost, each measured rather than guessed:
* Half one must be asked per ARRAY KEY, not per callback. "Does an
unsanitized value reach this callback's return" is TRUE on both sides: the
fix escapes `type` and `id` and leaves `search_query` alone. A
callback-level answer flags the fixed side as readily as the vulnerable
one, which is a leak, not a detection. The key is a literal at both ends,
so it joins the way the hook name and the field name do -- the same idea
for the third time.
* The sanitizer test had to stop crediting a sibling's cleansing. The
vulnerable query is ONE concatenation holding both `esc_sql($page_uri)`
and the injectable `{$current_page['id']}`, so asking whether a
sanitizer's name appears in a path element's text marked the whole flow
sanitized. An element must now BE the cleansing -- a call to it, or its
name as a string literal, which keeps `array_map('esc_sql', ...)` working.
* Hook seeds are repository-wide where field seeds are file-scoped. A hook
registry is global by construction: the callback is in one file and its
`apply_filters` in another. The query returned nothing until those two
scopes were separated.
* `sourceKind` had to be REPORTED, not inferred. By the time a row reaches
Python a hook source reads as `$current_page["id"]` and a parameter as
`$args`, and `_usable_flows` discards parameter flows whenever a modelled
one is present -- so seven sanitized `$_SERVER["REQUEST_URI"]` flows
displaced the CVE between the query and the verdict. That preference then
had to move PER SINK SITE: applied across a region it decides one site's
question with another site's evidence, and PMPro's CVE at :936 vanished
from a region still reporting fifteen other findings.
`verdict` now delegates to `verdicts` rather than running its own selection
over the union, because two copies of "which flow decides" is exactly the
duplication this module has been bitten by before -- and had been again: the
per-site preference did not reach the single-verdict path, so the two entry
points disagreed about the same rows.
841 tests pass; gates byte-identical; VAmPI unchanged.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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Marius CiepluchandClaude Opus 5
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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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Marius CiepluchandClaude Opus 5
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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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Marius CiepluchandClaude Opus 5
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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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Marius CiepluchandClaude Opus 5
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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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Marius CiepluchandClaude Opus 5
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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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Marius CiepluchandClaude Opus 5
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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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Marius CiepluchandClaude Opus 5
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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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Marius CiepluchandClaude Opus 5
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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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Marius CiepluchandClaude Opus 5
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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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Marius CiepluchandClaude Opus 5
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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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Marius CiepluchandClaude Opus 5
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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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Marius CiepluchandClaude Opus 5
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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 |