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
This commit is contained in:
Marius Ciepluch
2026-09-08 12:23:40 +02:00
co-authored by Claude Opus 5
parent 9ed0e45c5f
commit 2b973dc0db
10 changed files with 632 additions and 5 deletions
@@ -1,13 +1,13 @@
{
"counts": {
"load_bearing": 74,
"load_bearing": 79,
"standalone_capability": 7
},
"generated": "2026-09-08",
"generated": "2026-09-08 (regenerated after group 2 added the cpg/ seam)",
"kept_with_a_lever_stripped": {
"improve/evolve.py + improve/validator.py": "the design's Removed list named these whole, but each is a mix: the mechanism lever (removed) and the deterministic rule-status improve loop that `ousast improve` still runs from benchmark evidence, which has no LLM in it and is not what this feature supersedes. Deleting the files would have taken a retained capability with them."
},
"modules": 81,
"modules": 86,
"note": "Classification of every source module after the group-1 subtraction. load_bearing = reachable from a gate, the CLI, or named by a surviving requirement; standalone_capability = its own entry point or protocol, deliberately off the scan path; orphaned = no importer, no entry point, no surviving requirement -- removed, never carried.",
"orphaned": [],
"removed_in_this_pass": {
@@ -124,6 +124,31 @@
"module": "config",
"reason": "reachable from gate, map_gate, pair_gate or the CLI"
},
{
"classification": "load_bearing",
"importers": [
"cpg.backend",
"model.taint"
],
"module": "cpg",
"reason": "model-grounded-detection Req 4: the CPG seam package"
},
{
"classification": "load_bearing",
"importers": [
"model.taint"
],
"module": "cpg.backend",
"reason": "model-grounded-detection Req 4.1/4.5: the single Joern subprocess boundary"
},
{
"classification": "load_bearing",
"importers": [
"cpg.backend"
],
"module": "cpg.capability",
"reason": "model-grounded-detection Req 4.2/4.3: the engine probe that degrades to suspicion"
},
{
"classification": "load_bearing",
"importers": [
@@ -295,7 +320,8 @@
"classification": "load_bearing",
"importers": [
"cli",
"model.specs"
"model.specs",
"model.taint"
],
"module": "model",
"reason": "reachable from gate, map_gate, pair_gate or the CLI"
@@ -322,10 +348,26 @@
},
{
"classification": "load_bearing",
"importers": [],
"importers": [
"model.taint"
],
"module": "model.ladder",
"reason": "model-grounded-detection Req 5: the evidence ladder every finding carries"
},
{
"classification": "load_bearing",
"importers": [
"model.taint"
],
"module": "model.specs",
"reason": "model-grounded-detection Req 7.2-7.4: the security vocabularies the CPG queries are parameterised by"
},
{
"classification": "load_bearing",
"importers": [],
"module": "model.taint",
"reason": "model-grounded-detection Req 6.1: taint reachability over the CPG, the flow-family arbiter"
},
{
"classification": "load_bearing",
"importers": [
@@ -598,6 +640,7 @@
"classification": "load_bearing",
"importers": [
"cli",
"cpg.capability",
"hunter_tools",
"model.candidates",
"model.specs",
@@ -627,6 +670,7 @@
{
"classification": "load_bearing",
"importers": [
"cpg.capability",
"semantic",
"semantic.overlay"
],
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@@ -0,0 +1,3 @@
"""The Code Property Graph seam: the adopted engine the model layer arbitrates over."""
from __future__ import annotations
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@@ -0,0 +1,168 @@
"""The Joern subprocess seam — the single place this codebase touches a CPG engine (Req 4.1, 4.4, 4.5).
Joern is JVM/Scala. Everything crosses one subprocess boundary: ``joern-parse`` builds a ``cpg.bin`` from a
source tree, then ``joern --script`` runs a CPGQL script that prints a JSON payload. Nothing is imported
in-process, so the core install keeps ``dependencies = []`` and an absent engine costs a recorded reason
rather than a traceback.
Two rules hold everywhere below:
* **Fail closed.** A build or query that errors, times out, or prints something unparseable yields *no*
verdict. The model layer then reports ``suspicion``. A wrong verdict is worse than no verdict — that is the
whole reason this arbiter exists.
* **Fence the payload.** Joern prints a banner, compilation notices and a REPL prompt on stdout. The script
brackets its JSON between markers so parsing can never swallow the noise around it.
We do not build a control-flow or dataflow engine here (Req 4.4): the CFG, PDG and call graph our flat IR
lacks are exactly what is being adopted.
"""
from __future__ import annotations
import json
import logging
import os
import shutil
import subprocess
import tempfile
from collections.abc import Callable, Mapping
from dataclasses import dataclass, field
from pathlib import Path
from typing import Protocol
logger = logging.getLogger(__name__)
QUERIES_DIR = Path(__file__).resolve().parent / "queries"
# The payload fence. Joern's stdout carries a banner and a prompt; the script prints these around its JSON.
BEGIN = "---OUSAST-CPG-BEGIN---"
END = "---OUSAST-CPG-END---"
BUILD_TIMEOUT_SECONDS = 900 # a large tree takes minutes; the go/no-go records what it actually cost
QUERY_TIMEOUT_SECONDS = 300
Runner = Callable[..., subprocess.CompletedProcess[str]]
def extract_payload(stdout: str) -> object | None:
"""The JSON between the fence markers, or ``None`` when it is absent or malformed."""
start = stdout.find(BEGIN)
end = stdout.find(END, start + 1) if start >= 0 else -1
if start < 0 or end < 0:
return None
body = stdout[start + len(BEGIN) : end].strip()
try:
payload: object = json.loads(body)
except json.JSONDecodeError:
logger.debug("cpg query payload was not valid JSON")
return None
return payload
@dataclass(frozen=True)
class CpgResult:
"""A built CPG and the way to query it. Opaque: only ``model/`` reads through ``run``."""
cpg_path: Path
run: Callable[[str, Mapping[str, object]], object | None]
class CpgBackend(Protocol):
def available(self) -> bool: ...
def build(self, root: Path) -> CpgResult | None: ...
@dataclass
class NullBackend:
"""No engine. Every verdict degrades to ``suspicion`` and the caller records ``cpg_unavailable``."""
reason: str = "cpg_unavailable"
def available(self) -> bool:
return False
def build(self, root: Path) -> CpgResult | None:
del root
return None
@dataclass
class JoernBackend:
"""``joern-parse`` then ``joern --script``, both out of process and both timeout-bounded."""
runner: Runner | None = None
build_timeout: int = BUILD_TIMEOUT_SECONDS
query_timeout: int = QUERY_TIMEOUT_SECONDS
queries_dir: Path = field(default_factory=lambda: QUERIES_DIR)
def available(self) -> bool:
from .capability import has_cpg
return has_cpg()
def build(self, root: Path) -> CpgResult | None:
"""Build a CPG for ``root``. ``None`` on any failure — the caller degrades, never guesses."""
parse = shutil.which("joern-parse")
if parse is None and os.environ.get("OPENULTRASAST_JOERN_PROBE", "").strip().lower() not in {"1", "on", "true", "yes"}:
return None
scratch = Path(tempfile.mkdtemp(prefix="ousast-cpg-"))
cpg_path = scratch / "cpg.bin"
command = [parse or "joern-parse", str(root), "--output", str(cpg_path)]
completed = self._run(command, timeout=self.build_timeout)
if completed is None or completed.returncode != 0 or not cpg_path.is_file():
detail = (completed.stderr or completed.stdout or "")[-400:] if completed is not None else "timeout"
logger.warning("cpg build failed for %s: %s", root, detail)
return None
return CpgResult(cpg_path=cpg_path, run=lambda query, params: self.query(cpg_path, query, params))
def query(self, cpg_path: Path, query: str, params: Mapping[str, object]) -> object | None:
"""Run a shipped CPGQL script against a built CPG and return its fenced JSON payload."""
script = self.queries_dir / f"{query}.sc"
if not script.is_file():
logger.warning("no such cpg query: %s", script)
return None
command = [shutil.which("joern") or "joern", "--script", str(script), "--param", f"cpgFile={cpg_path}"]
for key, value in sorted(params.items()):
command += ["--param", f"{key}={_render(value)}"]
completed = self._run(command, timeout=self.query_timeout)
if completed is None or completed.returncode != 0:
detail = (completed.stderr or "")[-400:] if completed is not None else "timeout"
logger.warning("cpg query %s failed: %s", query, detail)
return None
return extract_payload(completed.stdout or "")
def _run(self, command: list[str], *, timeout: int) -> subprocess.CompletedProcess[str] | None:
run = self.runner if self.runner is not None else subprocess.run
try:
return run(command, capture_output=True, text=True, timeout=timeout, check=False)
except (OSError, subprocess.SubprocessError):
return None
def _render(value: object) -> str:
"""CPGQL parameters are strings; a sequence becomes a comma-separated list the script splits."""
if isinstance(value, str):
return value
if isinstance(value, (list, tuple, set, frozenset)):
return ",".join(sorted(str(item) for item in value))
return str(value)
def resolve_cpg_backend(*, runner: Runner | None = None) -> CpgBackend:
"""The backend for this machine: Joern when it is installed, else the null one."""
from .capability import has_cpg
return JoernBackend(runner=runner) if has_cpg() else NullBackend()
__all__ = [
"BEGIN",
"END",
"CpgBackend",
"CpgResult",
"JoernBackend",
"NullBackend",
"extract_payload",
"resolve_cpg_backend",
]
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"""Is a CPG engine available? (Req 4.2, 4.3)
One probe, not two: ``semantic/engines.joern_available`` already answers this and already honours the
``OPENULTRASAST_JOERN_PROBE`` override that the test matrix uses to force the absent case. The model layer
reuses it rather than growing a second, subtly different notion of "installed".
"""
from __future__ import annotations
from ..semantic.engines import joern_available
def has_cpg() -> bool:
"""True when a CPG can be built. False means every verdict degrades to ``suspicion`` with a reason."""
return joern_available()
__all__ = ["has_cpg"]
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// Taint reachability for one flow family (model-grounded-detection Req 6.1).
//
// The question this answers is the one our flat IR could not: does an untrusted source reach the labeled sink
// *through resolved dataflow*, and is there a sanitizer on that path. Joern's `reachableByFlows` walks the
// PDG, so a value bound three statements upstream — `q = "..." + request.args["x"]; execute(q)` — is found,
// which is exactly the one-hop limit that held our measured entailment at 2.2%.
//
// Parameters (all comma-separated where plural):
// cpgFile the built cpg.bin
// sources source matchers, e.g. request.args,request.form
// sinks sink call names, e.g. execute,os.system
// sanitizers sanitizer call names; a flow through one of these is corroborated, not entailed
// function optional: restrict sinks to this enclosing method
//
// Output: a fenced JSON array of {sink, sinkLine, sinkMethod, source, sanitized, length}.
// The fence exists because Joern prints a banner and a prompt around whatever a script emits.
@main def exec(cpgFile: String, sources: String, sinks: String, sanitizers: String = "", function: String = "") = {
importCpg(cpgFile)
def split(raw: String): List[String] =
raw.split(",").map(_.trim).filter(_.nonEmpty).toList
val sourcePatterns = split(sources)
val sinkNames = split(sinks)
val sanitizerNames = split(sanitizers)
// A source is any call or identifier whose code matches one of the source patterns. Matching on `code`
// rather than on a method name keeps `request.args["x"]` and `req.body.name` both reachable without
// per-framework special cases.
def sourceNodes = cpg.call.filter(c => sourcePatterns.exists(p => c.code.contains(p))).l ++
cpg.identifier.filter(i => sourcePatterns.exists(p => i.code.contains(p))).l
// A sink is a call whose name (or full code) names one of the family's sinks, optionally inside `function`.
def sinkNodes = {
val all = cpg.call.filter(c => sinkNames.exists(n => c.name == n || c.code.startsWith(n) || c.methodFullName.contains(n))).l
if (function.isEmpty) all else all.filter(_.method.name == function)
}
def isSanitized(flowCode: List[String]): Boolean =
sanitizerNames.nonEmpty && flowCode.exists(code => sanitizerNames.exists(s => code.contains(s)))
val rows = sinkNodes.flatMap { sink =>
val flows = sourceNodes.reachableByFlows(sink).l
flows.map { flow =>
val elements = flow.elements.map(_.code).l
ujson.Obj(
"sink" -> sink.code.take(200),
"sinkLine" -> sink.lineNumber.getOrElse(-1).toString,
"sinkMethod" -> sink.method.name,
"source" -> elements.headOption.getOrElse("").take(200),
"sanitized" -> isSanitized(elements),
"length" -> elements.size
)
}
}
println("---OUSAST-CPG-BEGIN---")
println(ujson.write(ujson.Arr(rows: _*)))
println("---OUSAST-CPG-END---")
}
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@@ -31,6 +31,11 @@ SPEC_OWNED = {
"model.specs": "model-grounded-detection Req 7.2-7.4: the security vocabularies the CPG queries are parameterised by",
"model.endpoint": "model-grounded-detection Req 8: the judge client, wired by model/judge.py in group 3",
"model.audit": "model-grounded-detection Req 3: this classifier; run by the maintainer, not by the scan",
"model.ladder": "model-grounded-detection Req 5: the evidence ladder every finding carries",
"model.taint": "model-grounded-detection Req 6.1: taint reachability over the CPG, the flow-family arbiter",
"cpg": "model-grounded-detection Req 4: the CPG seam package",
"cpg.backend": "model-grounded-detection Req 4.1/4.5: the single Joern subprocess boundary",
"cpg.capability": "model-grounded-detection Req 4.2/4.3: the engine probe that degrades to suspicion",
}
STANDALONE = {
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"""The evidence ladder: what established a finding (model-grounded-detection Req 5).
Every finding carries the rung that established it, so a deterministic model result is never confused with an
LLM suspicion. The two middle rungs are the point of this feature:
suspicion a site was enumerated and something flagged it
model_corroborated the LLM's claim is consistent with the CPG -- the source it names reaches the sink it
names, or a guard its siblings carry is absent
model_entailed the CPG establishes it alone, independent of trusting the LLM
execution_confirmed a sandbox reproduced it (deferred tier, memory/C first)
`model_corroborated` and above are established with no model call, and deterministically: run the checker
twice over the same CPG and the verdict sequence is identical. That is what removes the run-to-run noise the
prior architecture tried to average away.
"""
from __future__ import annotations
from dataclasses import dataclass
from enum import StrEnum
class Rung(StrEnum):
SUSPICION = "suspicion"
CORROBORATED = "model_corroborated"
ENTAILED = "model_entailed"
EXECUTION_CONFIRMED = "execution_confirmed"
# Ascending strength; `_ORDER.index` is the comparison, so a new rung cannot be silently mis-ranked.
_ORDER = (Rung.SUSPICION, Rung.CORROBORATED, Rung.ENTAILED, Rung.EXECUTION_CONFIRMED)
def at_or_above(rung: Rung, threshold: Rung) -> bool:
return _ORDER.index(rung) >= _ORDER.index(threshold)
@dataclass(frozen=True)
class Verdict:
"""What the model established, and the evidence it established it from."""
rung: Rung
family: str
witness: str = "" # the taint path or the dominance fact; empty only at `suspicion`
contradiction: str = "" # why an LLM claim was dropped, when it was
__all__ = ["Rung", "Verdict", "at_or_above"]
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"""Taint reachability over the CPG: the arbiter for the flow families (Req 6.1).
The verdict is the static analogue of a reproduced crash. An unsanitized source→sink path is `ENTAILED` — the
graph establishes it and the LLM's claim is no longer load-bearing. A path a sanitizer may break is
`CORROBORATED`: the flow is real, but whether the sanitizer is *sufficient* is a semantic judgement the model
cannot make, and that residual is the LLM's — checked against this verdict rather than averaged over runs.
No path at all yields `None`, not a negative verdict: the caller reports `suspicion`. And a query that failed
yields `None` too, because "the engine could not decide" is not "there is no flow" — conflating them is how a
missing engine would silently become a clean bill of health.
"""
from __future__ import annotations
from collections.abc import Mapping, Sequence
from ..cpg.backend import CpgResult
from .ladder import Rung, Verdict
from .specs import TaintSpec
def verdict(cpg: CpgResult, spec: TaintSpec, *, function: str = "") -> Verdict | None:
"""The strongest verdict the taint query supports for ``spec`` in ``function``, or ``None`` to stay at suspicion."""
rows = cpg.run(
"taint",
{"sources": spec.sources, "sinks": spec.sinks, "sanitizers": spec.sanitizers, "function": function},
)
flows = _flows(rows, function=function)
if not flows:
return None
unsanitized = [flow for flow in flows if not flow["sanitized"]]
# Deterministic by construction: sort, then take the first. Nothing here depends on engine ordering.
chosen = min(unsanitized or flows, key=_rank)
rung = Rung.ENTAILED if not chosen["sanitized"] else Rung.CORROBORATED
return Verdict(rung=rung, family=spec.family, witness=_witness(chosen))
def _flows(rows: object, *, function: str) -> list[dict[str, object]]:
"""The query's rows, filtered to the labeled function. A non-list (a failure) yields nothing."""
if not isinstance(rows, Sequence) or isinstance(rows, (str, bytes)):
return []
kept: list[dict[str, object]] = []
for row in rows:
if not isinstance(row, Mapping):
continue
if function and str(row.get("sinkMethod", "")) != function:
continue
kept.append({
"sink": str(row.get("sink", "")),
"sinkLine": str(row.get("sinkLine", "")),
"sinkMethod": str(row.get("sinkMethod", "")),
"source": str(row.get("source", "")),
"sanitized": bool(row.get("sanitized", False)),
"length": _as_int(row.get("length")),
})
return kept
def _as_int(value: object) -> int:
return int(value) if isinstance(value, int | float) else 0
def _rank(flow: Mapping[str, object]) -> tuple[int, str, str]:
"""Shortest flow first, then lexicographic — a total order, so two runs cannot disagree."""
return (_as_int(flow["length"]), str(flow["source"]), str(flow["sink"]))
def _witness(flow: Mapping[str, object]) -> str:
line = flow.get("sinkLine") or "?"
return f"{flow['source']} -> {flow['sink']} (line {line}, {flow['length']} steps)"
__all__ = ["verdict"]
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"""model-grounded-detection task 2.1: the Joern seam, out of process and capability-detected.
Joern is a JVM tool. The whole integration is one subprocess boundary so that the core install stays
zero-dependency and an absent engine degrades to `suspicion` with a recorded reason rather than a traceback.
Nothing here imports a JVM binding, and every test runs with Joern absent.
"""
from __future__ import annotations
import json
from pathlib import Path
import pytest
def test_without_joern_the_resolved_backend_is_the_null_one(monkeypatch: pytest.MonkeyPatch) -> None:
from openultrasast.cpg.backend import NullBackend, resolve_cpg_backend
monkeypatch.setenv("OPENULTRASAST_JOERN_PROBE", "off")
backend = resolve_cpg_backend()
assert isinstance(backend, NullBackend)
assert backend.available() is False
assert backend.build(Path(".")) is None, "an absent engine yields no CPG, and the caller degrades"
def test_the_capability_probe_reuses_the_existing_joern_probe(monkeypatch: pytest.MonkeyPatch) -> None:
"""`semantic/engines.joern_available` already exists; the model layer must not grow a second probe."""
from openultrasast.cpg.capability import has_cpg
monkeypatch.setenv("OPENULTRASAST_JOERN_PROBE", "off")
assert has_cpg() is False
monkeypatch.setenv("OPENULTRASAST_JOERN_PROBE", "on")
assert has_cpg() is True
def test_the_seam_imports_nothing_outside_the_standard_library() -> None:
"""Req 4.2: the core install has no dependencies, so the seam may not import one at module load."""
import ast
source = Path("src/openultrasast/cpg/backend.py").read_text()
imported = set()
for node in ast.walk(ast.parse(source)):
if isinstance(node, ast.ImportFrom) and node.module and node.level == 0:
imported.add(node.module.split(".")[0])
elif isinstance(node, ast.Import):
imported.update(alias.name.split(".")[0] for alias in node.names)
stdlib = {"__future__", "json", "os", "re", "shutil", "subprocess", "tempfile", "dataclasses", "pathlib", "typing",
"collections", "logging", "hashlib"}
assert imported <= stdlib, f"the seam imports outside the standard library: {sorted(imported - stdlib)}"
assert "import jpype" not in source and "py4j" not in source, "Joern is reached by subprocess, never in-process"
def test_a_scripted_backend_parses_a_query_result_without_joern(tmp_path: Path) -> None:
"""The parsing is exercised by canned JSON, so the query contract is testable with no engine installed."""
from openultrasast.cpg.backend import CpgResult
payload = [{"sink": "os.system", "source": "request.args", "path": ["a", "b"], "sanitized": False}]
def run(query: str, params: dict[str, object]) -> object:
assert query == "taint"
return payload
result = CpgResult(cpg_path=tmp_path / "cpg.bin", run=run)
assert result.run("taint", {}) == payload
def test_joern_output_is_read_from_a_delimited_block_not_from_noisy_stdout() -> None:
"""Joern prints a banner and a REPL prompt; the payload is fenced so the parse cannot swallow either."""
from openultrasast.cpg.backend import BEGIN, END, extract_payload
noisy = f"Compiling...\nJoern v4.0\n{BEGIN}\n{json.dumps([{'sink': 'eval'}])}\n{END}\njoern> \n"
assert extract_payload(noisy) == [{"sink": "eval"}]
assert extract_payload("no markers at all") is None
assert extract_payload(f"{BEGIN}\nnot json\n{END}") is None
def test_a_failing_or_slow_engine_fails_closed(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
"""Fail closed: a build or query that errors yields no verdict, never a wrong one."""
import subprocess
from openultrasast.cpg.backend import JoernBackend
def boom(*args: object, **kwargs: object) -> object:
raise subprocess.TimeoutExpired(cmd="joern-parse", timeout=1)
backend = JoernBackend(runner=boom)
monkeypatch.setenv("OPENULTRASAST_JOERN_PROBE", "on")
assert backend.build(tmp_path) is None
def test_the_query_scripts_are_shipped_beside_the_seam() -> None:
"""The CPGQL is ours and is data: it lives with the package, not inlined in a Python string."""
queries = Path("src/openultrasast/cpg/queries")
assert (queries / "taint.sc").is_file(), "the injection taint query must ship with the package"
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"""model-grounded-detection task 2.2: the taint verdict, and what separates entailed from corroborated.
An `ENTAILED` verdict is the static analogue of a reproduced crash: the CPG establishes the flow on its own and
the LLM's assertion is no longer load-bearing. `CORROBORATED` means a path exists but a sanitizer may break it,
so the judgement of sufficiency is the LLM's residual — checked against the graph, never averaged over runs.
"""
from __future__ import annotations
from pathlib import Path
def _cpg(rows: list[dict[str, object]]): # type: ignore[no-untyped-def]
from openultrasast.cpg.backend import CpgResult
return CpgResult(cpg_path=Path("cpg.bin"), run=lambda query, params: rows)
def _spec(): # type: ignore[no-untyped-def]
from openultrasast.model.specs import TaintSpec
return TaintSpec(
family="injection",
language="python",
sources=("request.args",),
sinks=("os.system", "execute"),
sanitizers=("escape", "quote"),
)
def test_an_unsanitized_source_to_sink_path_is_entailed() -> None:
from openultrasast.model.ladder import Rung
from openultrasast.model.taint import verdict
rows = [
{"sink": "os.system(cmd)", "sinkLine": "4", "sinkMethod": "run", "source": "request.args['x']", "sanitized": False, "length": 3}
]
answer = verdict(_cpg(rows), _spec(), function="run")
assert answer is not None and answer.rung is Rung.ENTAILED
assert answer.family == "injection"
assert "request.args" in answer.witness and "os.system" in answer.witness, "the witness names the flow it found"
def test_a_path_through_a_sanitizer_is_corroborated_not_entailed() -> None:
"""The model saw the flow but cannot judge whether the sanitizer is sufficient. That residual is the LLM's."""
from openultrasast.model.ladder import Rung
from openultrasast.model.taint import verdict
rows = [{"sink": "execute(q)", "sinkLine": "9", "sinkMethod": "run", "source": "request.args['q']", "sanitized": True, "length": 4}]
answer = verdict(_cpg(rows), _spec(), function="run")
assert answer is not None and answer.rung is Rung.CORROBORATED
def test_no_path_yields_no_verdict_so_the_caller_reports_suspicion() -> None:
from openultrasast.model.taint import verdict
assert verdict(_cpg([]), _spec(), function="run") is None
def test_a_query_that_failed_is_not_read_as_an_absence_of_flow() -> None:
"""`None` from the engine means "could not decide", which is not the same as "no path" — Req 4.3."""
from openultrasast.cpg.backend import CpgResult
from openultrasast.model.taint import verdict
broken = CpgResult(cpg_path=Path("cpg.bin"), run=lambda query, params: None)
assert verdict(broken, _spec(), function="run") is None
def test_the_verdict_is_restricted_to_the_labeled_function() -> None:
from openultrasast.model.taint import verdict
rows = [
{
"sink": "os.system(x)", "sinkLine": "40", "sinkMethod": "elsewhere",
"source": "request.args['x']", "sanitized": False, "length": 2,
}
]
assert verdict(_cpg(rows), _spec(), function="run") is None, "a flow in another function does not judge this one"
def test_the_shortest_unsanitized_flow_wins_and_the_sequence_is_deterministic() -> None:
"""Req 6.4: two runs over one CPG give an identical verdict sequence, so there is nothing to average."""
from openultrasast.model.ladder import Rung
from openultrasast.model.taint import verdict
rows = [
{"sink": "os.system(a)", "sinkLine": "7", "sinkMethod": "run", "source": "request.args['b']", "sanitized": True, "length": 9},
{"sink": "os.system(a)", "sinkLine": "7", "sinkMethod": "run", "source": "request.args['a']", "sanitized": False, "length": 2},
]
first = verdict(_cpg(rows), _spec(), function="run")
second = verdict(_cpg(rows), _spec(), function="run")
assert first == second
assert first is not None and first.rung is Rung.ENTAILED and "request.args['a']" in first.witness
def test_the_spec_drives_the_query_parameters() -> None:
"""The security modelling is ours; the traversal is the engine's. The spec is what crosses the seam."""
from openultrasast.cpg.backend import CpgResult
from openultrasast.model.taint import verdict
seen: dict[str, object] = {}
def run(query: str, params: dict[str, object]) -> object:
seen["query"] = query
seen.update(params)
return []
verdict(CpgResult(cpg_path=Path("cpg.bin"), run=run), _spec(), function="run")
assert seen["query"] == "taint"
assert seen["sources"] == ("request.args",)
assert seen["sinks"] == ("os.system", "execute")
assert seen["sanitizers"] == ("escape", "quote")
assert seen["function"] == "run"