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12
Commits
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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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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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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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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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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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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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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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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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e127e430ed |
feat(model-grounded-detection): parameter sources, so the measurement is like-for-like
Only 11 of the 50 injection pairs contain a framework source token at all. The
other 39 receive untrusted input as a FUNCTION PARAMETER, because SVEN-style
pairs are function-level extractions:
def add_user(username, password):
os.system("useradd ... -p " + encPass + " " + username)
A framework-anchored source model finds nothing there, which caps entailment on
this slice near 22% by construction -- a property of the source model, not of
the engine. More to the point, the flat-IR baseline this feature is measured
against already counted these (source_kinds: ["parameter"]), so a run without
them is not comparable to the 2.2% it is supposed to beat.
The flag is opt-in and off by default, because the two settings are right in
different places: in a function-level pair the function boundary IS the trust
boundary, while across a whole repository most parameters carry internal
values and treating them all as untrusted is not sound. The corpus harness
opts in; a repository scan does not.
On the pair that exposed this the model now resolves both flows, including one
through an intermediate binding:
username -> os.system(...) 2 steps
password -> crypt.crypt(...) -> encPass -> ... 7 steps
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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1765e51da1 |
feat(model-grounded-detection): the safe-shape test, without which the model arbitrates nothing
The first live run produced the finding that shapes this design: taint
reachability alone does not distinguish a fix from a bug. On the canonical SQL
pair the flow request.args["name"] -> name -> execute exists on BOTH sides --
vuln db.execute("select ... '" + name + "'") one argument, interpolated
fixed db.execute("select ... = %s", (name,)) two arguments, bound
-- so the model entailed the fixed twin exactly as readily as the vulnerable
one, and arbitrated nothing. What separates them is the SHAPE of the sink call,
which is precisely what safe_shape_sinks preserved from the earlier sanitizer
fix. The query now reports sinkArity and sinkArg0Literal, and a flow ending at
a sink written in its declared-safe form is not a vulnerability.
Two bugs in that shape test, both found only against the real engine:
Joern's `call.argument` includes the RECEIVER at argumentIndex 0, so `db` was
counted as an argument -- making a one-argument interpolated call look like a
two-argument bound one, the exact inversion of the test -- and the "first
argument" whose literalness decides a format-string sink was the receiver
rather than the format. Both fixed with argumentIndexGt(0).
The rule is narrow on purpose: only sinks named in safe_shape_sinks are subject
to it (os.system(x) is not safe merely because it takes one argument), and a
row carrying no shape fields is judged on the flow alone -- an unknown shape
must never be read as a safe one.
End to end on the pair, deterministic and with no model call:
vuln -> model_entailed request.args["name"] -> db.execute(...) (line 4)
fixed -> None
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
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2b973dc0db |
feat(model-grounded-detection): tasks 2.1-2.2, the Joern seam and the taint verdict
The whole engine integration is one subprocess boundary: joern-parse builds a cpg.bin, joern --script runs a shipped CPGQL query that prints its JSON between fence markers, because Joern's stdout carries a banner and a REPL prompt around whatever a script emits. Nothing is imported in-process, so the core install keeps dependencies = [] -- a test walks the seam's AST to assert it imports only the standard library and names no JVM binding. Fail closed everywhere. A build or query that errors, times out, or prints something unparseable yields no verdict and the caller reports suspicion. The taint verdict distinguishes this from absence deliberately: a query returning None means "the engine could not decide", which is not "there is no flow", and conflating them is how a missing engine silently becomes a clean bill of health. The verdict is where the ladder earns its keep. An unsanitized source->sink path is model_entailed -- the graph establishes it and the LLM's claim is no longer load-bearing. A path a sanitizer may break is model_corroborated: the flow is real, but whether the sanitizer suffices is the semantic residual the LLM answers, checked against this verdict rather than averaged over runs. The chosen flow is picked by a total order (shortest, then lexicographic), so two runs over one CPG cannot disagree -- Req 6.4 asserted directly. The query itself is the part our flat IR could not do: reachableByFlows walks the PDG, so `q = "..." + request.args["x"]; execute(q)` is found, which is exactly the one-hop limit that held measured entailment at 2.2%. Capability detection reuses semantic/engines.joern_available rather than growing a second notion of "installed". The audit manifest is regenerated; the new modules are named by Req 4/5/6 rather than counted as orphans. Task 2.3, the go/no-go measurement, needs Joern installed and has not run. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG |