dynamic_external_or_depth_context_unresolved was applied as though it invalidated
everything about a question. It does not. Bounded reachability can hide further
flows; it cannot invalidate a flow that was traced, and it cannot remove a call
from a structurally scoped enumeration.
At scan level the boundary is now recorded against its owning question without
demoting that question's answer. An unavailable context projection, an empty
context scope and an unreadable method extent are unknown ownership and still
demote.
In comparison it no longer blocks the head's own claim, since the finding rests
on a path that was actually traced, and no longer blocks an absence read off the
enumerated inventory. It still blocks every claim that rests on a flow not having
been traced, including the anchored source-connection branch, which now reports
base_reachability_bounded rather than silently passing.
The query declares the basis of its enumeration. A file- or nesting-scoped
question walks calls structurally, so an unresolved destination cannot remove one
from scope. Following the call graph makes the reachable set the scope, so the
same unresolved destination can shrink what was enumerated; that inventory cannot
establish absence while reachability is bounded, and says so.
One prior control asserted a question's own reachability gap blocks its own
claim. It is updated with its reason and split, so an own projection gap is still
proven to block while an own reachability gap no longer does.
1,362 tests passed, nine skipped. Rollout stays NO-GO.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
A taint answer reports traced flows, so an absent row means either that the
operation is not present or that no traced path reached it. Change comparison
needs that distinction to say a change introduced an operation, and reachability
is deliberately bounded, so the two can never be separated from flow rows alone.
That is why the veto guarding the confusion is permanently true on any real
Express application, and why it could be neither discharged nor safely removed.
The taint query now exports one row per operation it enumerated in scope, plus a
completion marker. The marker is what makes an empty inventory meaningful:
without it a scope that was never enumerated and a scope holding no such
operation are indistinguishable.
Comparison separates three outcomes on a changed line: the operation is present
in the base without a traced flow, which is a reachability statement and not
novelty; the operation is absent from an enumerated base, which establishes that
the change introduced it; or the base scope was never enumerated, which stays
explicitly unresolved. A malformed inventory row is not an empty inventory.
The arbiter now skips any row carrying a kind, so an inventory row cannot be
normalized into a flow with an empty source that names no attacker input.
Verified against the real engine on an authored two-revision JavaScript control:
the operation is enumerated on both sides, the base carries it with zero traced
flows, the zero-operation marker appears for an empty scope, and answers and
findings are unchanged. No new sink inference, alias resolver or second source
IR. 1,354 tests passed, nine skipped. Rollout stays NO-GO.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Rerunning the three NodeGoat revisions after tasks 10.1-10.3 shows the recorded
view now classifies the case: the vulnerable revision reaches new with
operation_absent_from_comparable_base, and the unchanged revision reaches
unchanged with its base location resolved to the same lines. Both previously
stopped at operation_correspondence_unresolved and witness_identity_unresolved.
The rerun also caught a defect in the repair itself: the new novelty reason was
missing from the admission allowlist, so admission rejected the candidate as
change_unsupported. Fixed with a control.
The production path is still blocked by the last two vetoes, and the measurement
shows neither can be scoped or relaxed as the plan described. A taint answer
reports traced flows, so an absent row means either that the operation does not
exist in the base or that no traced flow reached it.
dynamic_external_or_depth_context_unresolved exists to stop the second being read
as the first, and removing it would turn a wrong absence into a wrong new
finding. It is also computed over every in-scope method, so on any real Express
application it is always true and can never be discharged, which is why the tool
reports nothing on real projects.
The resolution is new evidence rather than a relaxed rule: export the operations
the query actually enumerated, separately from the flows it traced, so absence is
established from the inventory while a traced-flow claim still requires complete
reachability. That is now task 10.4, ahead of the two vetoes it unblocks, and it
adds no detector, alias resolver or second source IR.
1,348 tests passed, nine skipped. No capability enabled; rollout stays NO-GO.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Two vetoes M1a recorded were global where the evidence is local.
Comparison required every selected base question to complete, so one unsupported
family anywhere prevented an otherwise complete target comparison. Completeness
is now demanded over the required scope: the counterpart question plus the
dependencies the change context actually recorded for it. Every other gap stays
in aggregate coverage and is still reported, never discharged. An incomplete
counterpart, an incomplete recorded dependency, an unknown-ownership boundary
and a truncated base scan all still yield unknown.
Correspondence ambiguity was recorded file-wide and inherited by every question,
so repeated unchanged lines in one file invalidated every question in the
repository and blocked the whole transaction comparison. It is now decided per
operation by the correspondence classifier: an operation needing an ambiguous
anchor stays uncomparable, while a uniquely mapped or newly introduced operation
in the same file is unaffected. The mapping is still withheld and still reported.
On the NodeGoat case the ambiguity is on the target's own file, so file-level
scoping would not have been enough; only per-operation resolution is.
1,347 tests passed, nine skipped. No capability enabled; rollout stays NO-GO.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
M1a measured that a newly introduced operation sits on a changed line, has no
base line anchor, and therefore stayed unclassified even with every completeness
veto lifted. Establish absence over the complete counterpart answer instead of
over a line anchor.
Correspondence now reports why a head operation does not map: `changed_line`
inside a recorded head edit, `ambiguous` where several base lines could
correspond, or `unmapped` where no anchor exists. Only the first supports
reasoning about an introduced operation, and only when the base counterpart
answer is complete and contains no operation with that spelling.
Movement is matched on the operation spelling alone, so a benign identifier
rename that changes only the source text reads as movement rather than a new
flow. The existing rename control caught that; the key was too brittle before.
One prior control is superseded and updated with its reason: a new operation on
a changed line in a comparable existing file is now new rather than unknown.
Movement, ambiguity, unmapped operations, discharged or unentailed claims and an
incomplete or failed base all remain unknown.
1,337 tests passed, nine skipped. No capability enabled; rollout stays NO-GO.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Add group 9 to the approved task plan as the bounded owner amendment release
milestone M1a requires, implement the task-local recorded-veto evaluation flag,
and run the three pinned NodeGoat revisions under it.
The flag re-runs the production comparison and admission over a lifted copy of
the same evidence and records each veto instead of applying it. Recognized
completeness vetoes are lifted and logged; failures never are, because silence
from a failure is not a quiet fixed twin. It is off by default, accepted only on
explicit base/head replay, refused in Git stdin mode, labels every payload it
produces, and admits no defect even when a lifted candidate otherwise would.
M1a outcome, inside its one-week box and with expectations frozen on disk first:
the three entailed <lambda>2 witnesses are present at contributions.js 32-34; the
fixed twin was genuinely analyzed and quiet, answering its target question with
zero rows and no deadline reason while the same findings appear as base-only; the
unchanged revision was analyzed and recorded unchanged. The kill criterion did
not trigger.
Five vetoes fired and were recorded. M1a also corrected the diagnosis: with all
five lifted the detection still stops at operation_correspondence_unresolved,
because a newly introduced operation sits on a changed line and has no base
anchor. The unchanged revision resolves its base location on the same lines and
classifies as unchanged, which isolates correspondence as the mechanism. That
fifth veto was not in the earlier four-veto diagnosis and is now M1b's central
repair.
Diagnosis only. No defect admitted, no capability enabled, no gate changed, no
latency claim; the 900-second development budget cannot measure the hook gate.
Rollout and task 8.3 remain NO-GO.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
Two decisions the maintainer made, as rows rather than constants. A vendored tree (vendor/, node_modules/,
third_party/) is somebody else's unit: out of the targets in preprocess and out of the graph through the
frontend's --exclude, which the scan hands to the backend because the CPG seam imports only the standard
library. A test path (tests/, test-*.php, *Test.php) stays in scope -- a test that reaches a sink still
names the sink -- but its regions are not shipped and order after the product's. Measured before the row:
207 of WP Statistics's 357 PHP files were vendored, and 14 of the 67 regions ahead of MW WP Form's CVE
were test files. The position benchmark applies both, so it measures the order the scan spends.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
php2cpg drives PHP-Parser through `php` from a script inside its own install. A second install the
containerised interpreter had no mount for parsed 1 of 637 files and exited 0 -- caught by the build
census, and now refused by name before any build. On 4.0.625 with the closure exclusion gated off:
pmpro 637 of 637 in 100 s, WP Statistics 115 s with only the two data tables excluded. Phase-2 v5
verdict and the within-tier reading recorded in the brief.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
v5 (parameter-fed carried confirmed by the exact flow): pmpro 69, wpstatistics 172, mwwpform 68,
vampi 16. Reading the recorded head of each order: every region ahead of a CVE is in its tier on a tied
or higher score, and 10 of the 67 ahead of MW WP Form's are test-mail.php. The build's own word on what
is product was on the region and not in the vector; it is now, at -2.0 for an unshipped file. Orders
only, never promotes.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
Structural carried (v3) measured: pmpro 391 -> 69, wpstatistics 504 -> 172, mwwpform 513 -> 68 -- and
tier 4 swollen to 555 and 569 regions, because "assigned from a parameter" was folded in with "assigned
from a source" and every constructor does the former. The query now reports carriedKind; the vector
promotes on "source" and gives "parameter" a within-tier weight of 0.75.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
budget_at_recall by a real evidence pass over every region: pmpro 391 -> 116, wpstatistics 504 -> 223,
mwwpform 513 -> 292, vampi 16 -> 16. The gate (< 50) is not met. pmpro's CVE is inside its 121 tier-4
regions; WP Statistics's and MW WP Form's are one tier low because `carried` -- stage one of the
two-stage join -- was not reported as evidence. taint.sc now reports it where a sink exists, and the
vector reads the query's answer when given.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
joern#6281 is closed as fixed in v4.0.625 (verified here on the reproducer). The version is read off the
jar beside the launcher; below 4.0.625 the miscompiled file is still excluded, at or above it nothing is,
and an install whose version cannot be read keeps the workaround.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
WP Statistics's first region is JavaScript, and a build asked for as JavaScript went looking for
jssrc2cpg, failed both launchers, lost the whole run's output and left a 9.6 MB scratch directory behind.
Also notes upstream: joern#6281 is fixed in v4.0.625.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
One flatten too many turned "base,controlflow,typerel,callgraph,dataflowOss" into "b,a,s,e,...", and
every real build then warned that its graph lacked the dataflow layer while carrying it. The compile test
now asserts the shape on a real graph.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
`Evidence.score` orders pairs within a tier by one table of weights (open sinks, cleansed sinks, local /
carried / near sources, entry, declared public), capped so volume stops counting, and zero for tier 0 so
the weights can rank but never manufacture. `ScanBudget.order_by_evidence` runs the evidence pass over
every region and cuts `max_regions` from each region's best (tier, score); `order_by_evidence()` is the
one ordering function, used by the scan and by `benchmarks/ranking/position.py --evidence`. Off by
default until the position benchmark says where the pinned CVEs land under it.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
Three checks for three findings that were each silently wrong for a day (task 5.13). A clean build whose
census cannot be taken inside the query timeout is a failed build, by name: every later query would time
out and read as "nothing here", and the launcher fallback no longer rebuilds the same graph without
asking again. The census now carries the graph's saved overlays and the worker JVM's actual heap, and the
backend warns when the dataflow layer is missing (every batch would recompute it) or the heap is not the
configured one (the knob is not reaching the JVM that matters). An empty tree counts as complete, not as
a failed count.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
Task 5.13, measured on ten real pmpro pairs at callDepth 1 with each join half switched separately and
the 54 s JVM fixed cost subtracted: both halves off 11.1 s/request, field half 10.9 s, hook half past
49 s (timeout). Stage timers put it in `hookSeedsIn("")`: every field access in all 7,061 methods put
through the field join before the first callback was answered. Seeds are now the callback's own body
and file, which is where WP Statistics's `set_current_page` and `$this->rest_hits = ...` both live.
Both halves on: 9.7 s/request. `sourceNodes` is also materialised once per request instead of once
per sink.
The WP Statistics re-verification then exposed the larger term. A `joern --script` run is two JVMs and
`-J-Xmx` sizes only the launcher, so the heap knob governed nothing; the backend now sets
JAVA_TOOL_OPTIONS too. And since PHP builds went through php2cpg directly (1ce7e9d, an hour after the
hook half was verified from a joern-parse build), every query batch has recomputed the dataflow overlay
at load -- 54 s on pmpro, and on WP Statistics an OutOfMemoryError inside OssDataFlow after 21 minutes
at 2 GB, no completion in 25 minutes at 4 GB, and no help from --max-num-def at 1000 or 200. Two
vendored browser-profile tables, one array literal each, were 60% of that graph.
Three changes, all named in the log: `queries/overlay.sc` applies the overlays once at build time and
the saved graph replaces the raw one (joern-parse --overlaysonly NPEs in 4.0.623); a source file over
1 MB is excluded as a data table and reported in `unparsed`; and the seed scoping above. After: the WP
Statistics graph reloads in 8 s, the `record` request that timed out at 520 s answers in 39 s including
the JVM, and CVE-2022-25148 is entailed again with `sourceKind = hook`. A raw-vs-saved payload diff on
pmpro shows identical evidence keys and fewer duplicate flow rows.
Also: the backend's own unit tests left fifteen ousast-cpg-* directories in /tmp per run; conftest now
keeps tempfile under the test's directory. The compile test covers overlay.sc.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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
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
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
Three corrections and one design requirement, from measurement and from
maintainer direction.
MEASURED. 4,463 PMPro regions carry five distinct ranks, and 3,742 of them --
83.8% -- share rank 0.30, ordered alphabetically by path. That tier spans
positions 159..3,900, and 341 of the 500 examined regions come from it: two
thirds of the budget spent on an arbitrary alphabetical slice. It is not a
weak ranker, it is barely a ranker.
CORRECTED. CVE-2023-23488's region is at position 390 of 4,463 -- INSIDE the
budget and examined. I stated repeatedly that it ranked ~1036 and was never
reached; that number came from before the array-callable and method-recogniser
fixes moved it. The reason it goes unreported is the taint query timing out,
so no region got a verdict at all. Ranking is a real problem; it is not this
miss, and conflating them would have sent the fix to the wrong place.
DIRECTION. Ranking is the LLM's job, not a tie-breaker for a residue. The
judgement "is this worth looking at" is a judgement about unfamiliar code.
Facts and generic features stay as cheap evidence for the model to read and as
the fallback when none is configured.
AND THE LOOP IS CLOSED, which is worse than train-on-test and was the sharper
point. A region the ranker excludes is never arbitrated, so it never produces
a label, so the ranker never learns it was wrong -- the feedback is censored by
the policy being trained, and every run confirms the ordering it already had.
Optimising on that makes it more confident, not more correct.
Breaking the loop is therefore a design requirement, with two cheap mechanisms
recorded: an exploration slice (~10% of budget sampled from outside the top-K,
the only labels the policy did not choose) and full labelling on repositories
small enough to arbitrate every region, which is policy-independent ground
truth. Inverse-propensity weighting is noted as available if the ranking is
made stochastic, and as unnecessary otherwise.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
`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
