Files
Open_Ultra_SAST/tests
Marius CiepluchandClaude Opus 5 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
2026-09-08 12:56:13 +02:00
..