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Two things, and a finding that says neither fixes the pairs that prompted them.
The settings table was Flask/FastAPI-shaped (CORS, set_cookie, app.run) while
the corpus contains aiohttp and Django applications, so three config_secrets
pairs contained no modelled security setting at all. Added aiohttp's
session_setup and cookie storages and Django's SECURE_* / DEBUG settings: 8
calls to 24.
And config_secrets spans three abstractions while only one was wired -- a
permissive setting VALUE. Weak algorithm CHOICE (CWE-326/327) is a different
thing: the danger is the algorithm NAMED, not a flag left open. Its data has
been sitting on the sink facts as `weak_literals` since before this feature and
nothing read it. Both abstractions read the same literal, so the arm is small:
hashlib.new("md5") is now entailed and hashlib.new("sha256") is not.
The finding: the three silent config pairs are CORPUS DEFECTS, not model gaps.
Measured similarity 23%, 45% and 53% -- dsvpwa-dsvpwa-main pairs `def main()`
against `def run(self, handler)`, a different function entirely. No settings
table can make those split, and it is worth saying so rather than letting the
work imply otherwise. The table gap was real and worth closing on its own
merits; it just is not why those pairs are silent.
734 passing, mypy/ruff clean, gates byte-identical.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
198 lines
9.6 KiB
Python
198 lines
9.6 KiB
Python
"""Wiring the model layer into a detector (model-grounded-detection, Req 8).
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Everything before this built an *arbiter* — something that judges a flow taint reachability already found.
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Nothing proposed. This is the piece that makes it a detector: the enumerator offers candidates, the LLM
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answers one bounded question about each, and the model checks the answer.
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The distinction that matters, and that `judge` alone conflated:
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the model CONTRADICTS it has coverage here and says no -- a sanitizer on the path, a safe sink shape.
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The claim is dropped (Req 8.2).
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the model CANNOT DECIDE no modelled sink or source reaches this site at all, so the model is silent
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rather than negative. The claim is reported at `suspicion` (Req 8.4).
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Conflating them is the difference between a precision-first tool that misses most real bugs and an honest one
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that says how sure it is. 23 of 39 misses in the ceiling were absent sinks -- "no flow" usually means the
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model cannot see it, not that nothing is there.
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"""
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from __future__ import annotations
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from pathlib import Path
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def _spec(): # type: ignore[no-untyped-def]
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from openultrasast.model.specs import TaintSpec
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return TaintSpec(family="injection", language="python", sources=("request.args",),
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sinks=("os.system",), sanitizers=("escape",))
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def _cpg(rows): # type: ignore[no-untyped-def]
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from openultrasast.cpg.backend import CpgResult
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return CpgResult(cpg_path=Path("cpg.bin"), run=lambda q, p: rows)
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class _Client:
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def __init__(self, answer: str = '{"vulnerable": true, "why": "unsanitised"}') -> None:
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self.calls = 0
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self._answer = answer
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def complete(self, **kw: object): # type: ignore[no-untyped-def]
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from openultrasast.tool_hunter import ChatResponse
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self.calls += 1
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return ChatResponse(content=self._answer)
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ENTAILING = [{"sink": "os.system(cmd)", "sinkLine": "4", "sinkMethod": "run", "source": "request.args['c']",
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"sanitized": False, "length": 3, "inLabeledScope": True}]
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SANITIZED = [{"sink": "os.system(cmd)", "sinkLine": "4", "sinkMethod": "run", "source": "request.args['c']",
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"sanitized": True, "length": 3, "inLabeledScope": True}]
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def test_an_entailed_site_becomes_a_finding_with_no_model_call() -> None:
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from openultrasast.model.ladder import Rung
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from openultrasast.model.pipeline import scan_region
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client = _Client()
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findings = scan_region(_cpg(ENTAILING), _spec(), function="run", client=client, model="m", candidates=())
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assert len(findings) == 1 and findings[0].rung is Rung.ENTAILED
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assert client.calls == 0
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def test_a_sanitized_flow_the_judge_confirms_becomes_corroborated() -> None:
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from openultrasast.model.ladder import Rung
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from openultrasast.model.pipeline import scan_region
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findings = scan_region(_cpg(SANITIZED), _spec(), function="run", client=_Client(), model="m", candidates=())
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assert len(findings) == 1 and findings[0].rung is Rung.CORROBORATED
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def test_a_sanitized_flow_the_judge_rejects_yields_nothing() -> None:
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"""The model found a flow AND has coverage; the judge says the sanitizer suffices. That is a contradiction."""
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from openultrasast.model.pipeline import scan_region
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client = _Client('{"vulnerable": false, "why": "escaped"}')
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assert scan_region(_cpg(SANITIZED), _spec(), function="run", client=client, model="m", candidates=()) == []
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def test_a_candidate_the_model_cannot_see_is_reported_at_suspicion() -> None:
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"""Req 8.4, and the reason recall exists at all: no modelled sink reaches this site, so the model is
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SILENT, not negative. The LLM's claim is reported, honestly labelled."""
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from openultrasast.model.ladder import Rung
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from openultrasast.model.pipeline import scan_region
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client = _Client()
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findings = scan_region(_cpg([]), _spec(), function="run", client=client, model="m",
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candidates=({"id": "app.py:9:raw_query", "text": "db.raw(q)", "line": 9},))
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assert client.calls == 1, "one bounded question per candidate"
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assert len(findings) == 1 and findings[0].rung is Rung.SUSPICION
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assert findings[0].site == "app.py:9:raw_query"
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def test_a_candidate_the_judge_declines_is_not_reported() -> None:
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from openultrasast.model.pipeline import scan_region
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client = _Client('{"vulnerable": false, "why": "constant"}')
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findings = scan_region(_cpg([]), _spec(), function="run", client=client, model="m",
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candidates=({"id": "app.py:9:x", "text": "db.raw('literal')", "line": 9},))
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assert findings == []
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def test_without_a_client_only_what_the_model_establishes_is_reported() -> None:
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"""Req 11.3: the endpoint is optional. Entailment still works; the suspicion band simply goes unasked."""
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from openultrasast.model.ladder import Rung
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from openultrasast.model.pipeline import scan_region
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assert scan_region(_cpg(ENTAILING), _spec(), function="run", client=None, model="", candidates=())[0].rung is Rung.ENTAILED
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assert scan_region(_cpg([]), _spec(), function="run", client=None, model="",
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candidates=({"id": "a:1:x", "text": "t", "line": 1},)) == []
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def test_the_candidate_budget_is_bounded() -> None:
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"""A region with many sites must not turn into an unbounded spend."""
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from openultrasast.model.pipeline import MAX_JUDGED_CANDIDATES, scan_region
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client = _Client()
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many = tuple({"id": f"a:{i}:x", "text": "db.raw(q)", "line": i} for i in range(50))
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scan_region(_cpg([]), _spec(), function="run", client=client, model="m", candidates=many)
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assert client.calls == MAX_JUDGED_CANDIDATES
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# --- family dispatch ------------------------------------------------------------------------------------
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#
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# The pipeline first shipped taking a TaintSpec and calling taint_verdict, so access_control and
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# config_secrets -- which have working arbiters since group 4 -- produced nothing at all. On the first
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# vibe-py run every one of their pairs scored `both_silent`, which read as the model failing when in fact
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# there was no code path to the arbiter. Same class as the ceiling harness routing config through taint.
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def _dominance_spec(): # type: ignore[no-untyped-def]
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from openultrasast.model.specs import DominanceSpec
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return DominanceSpec(family="access_control", language="python",
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operations=("filter_by",), dischargers=("current_user",))
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def _config_spec(): # type: ignore[no-untyped-def]
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from openultrasast.model.specs import ConfigSpec
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return ConfigSpec(family="config_secrets", language="python", settings=("CORS",), permissive=('"*"',))
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def test_an_absence_family_is_arbitrated_by_dominance_not_taint() -> None:
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from openultrasast.model.ladder import Rung
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from openultrasast.model.pipeline import scan_region
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rows = [{"operation": "Note.query.filter_by(id=n)", "opLine": "9", "opMethod": "leaky", "dominatingGuards": []},
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{"operation": "Note.query.filter_by(id=n)", "opLine": "3", "opMethod": "safe",
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"dominatingGuards": ["current_user.id"]}]
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findings = scan_region(_cpg(rows), _dominance_spec(), function="leaky", client=None, model="", candidates=())
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assert len(findings) == 1 and findings[0].rung is Rung.ENTAILED
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assert findings[0].family == "access_control"
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def test_a_configuration_family_is_arbitrated_by_constant_abstraction() -> None:
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from openultrasast.model.ladder import Rung
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from openultrasast.model.pipeline import scan_region
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rows = [{"setting": 'CORS(app, origins="*")', "line": "3", "method": "create_app",
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"literalArgs": ['"*"'], "args": ["app"]}]
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findings = scan_region(_cpg(rows), _config_spec(), function="create_app", client=None, model="", candidates=())
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assert len(findings) == 1 and findings[0].rung is Rung.ENTAILED
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assert findings[0].family == "config_secrets"
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def test_the_residual_question_matches_the_arbiter_that_raised_it() -> None:
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"""A corroborated verdict from dominance is not a question about a sanitizer.
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The pipeline asked `_sanitizer_question` for every corroboration, so an absence finding was put to the
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judge as "a sanitizer appears on the path: yes -- does it suffice?", which is meaningless for a missing
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guard. The judge answered no and the finding was discarded: all three vibe-py access_control pairs scored
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both_silent even though the dominance arbiter had returned model_corroborated for each. Fourth instance in
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this feature of taint-specific behaviour applied to every family.
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"""
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from openultrasast.model.pipeline import residual_question
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dom = residual_question(_dominance_spec(), "leaky line 9: no discharging guard", "leaky")
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assert "sanitizer" not in dom.lower(), "an absence bug has no sanitizer to judge"
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assert "guard" in dom.lower()
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cfg = residual_question(_config_spec(), 'CORS(...): permissive literal "*"', "create_app")
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assert "sanitizer" not in cfg.lower() and "setting" in cfg.lower()
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taint = residual_question(_spec(), "request.args['c'] -> os.system(cmd)", "run")
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assert "sanitizer" in taint.lower()
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def test_a_corroborated_absence_finding_survives_a_judge_that_agrees() -> None:
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from openultrasast.model.ladder import Rung
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from openultrasast.model.pipeline import scan_region
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rows = [{"operation": "q.filter_by(id=n)", "opLine": "9", "opMethod": "leaky", "dominatingGuards": []},
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{"operation": "q.filter_by(id=n)", "opLine": "3", "opMethod": "safe", "dominatingGuards": ["current_user"]}]
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findings = scan_region(_cpg(rows), _dominance_spec(), function="leaky", client=_Client(), model="m", candidates=())
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assert len(findings) == 1 and findings[0].rung is Rung.ENTAILED
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