🛡️ Sentinel: [HIGH] Fix missing deserialization functions in taint tracking

[tachyon-beep]

🚨 Severity: HIGH
💡 Vulnerability: The static analyzer was missing yaml.unsafe_load, yaml.full_load, and several other curated third-party deserialization sinks (shelve, dill, joblib, torch.load, numpy.load, pickle.Unpickler.load, jsonpickle) in its core taint propagation logic _SERIALISATION_SINKS.
🎯 Impact: This could lead to false negatives when tracking untrusted data flowing into these dangerous deserialization functions, as the engine would not correctly shed validation provenance and convert the output to UNKNOWN_RAW.
🔧 Fix: Added the missing deserialization sinks to _SERIALISATION_SINKS in src/wardline/scanner/taint/variable_level.py. Also fixed the PY-WL-106 rule metadata's examples_clean to correctly demonstrate safe usage without triggering the PY-WL-101 rule (untrusted data reaching a trusted producer).
✅ Verification: Ran the full test suite (make test), linting (make lint), formatting (make format), and type checking (make typecheck). Also regenerated golden identity tests for the analyzer using golden.identity.regen. All checks passed successfully.

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PR created automatically by Jules for task 6233769144846668098 started by @tachyon-beep

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[Copilot]

Pull request overview

This PR updates Wardline’s core level-2 taint propagation so additional deserialization-related call sites are treated as serialization/representation-boundary sinks (forcing their outputs to shed provenance and become UNKNOWN_RAW), and adjusts PY-WL-106 metadata examples + golden corpus metadata accordingly.

Changes:

• Expanded _SERIALISATION_SINKS to include curated third-party deserialization entrypoints (and additional YAML load variants).
• Updated PY-WL-106 examples_clean to avoid cross-rule interactions while still demonstrating safe usage.
• Regenerated golden identity corpus metadata to reflect the new sink mapping behavior.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 1 comment.

File	Description
tests/golden/identity/corpus/META.json	Updates golden corpus metadata “reason” to match the taint-mapping change.
src/wardline/scanner/taint/variable_level.py	Adds additional deserialization-related call FQNs to the core _SERIALISATION_SINKS mapping.
src/wardline/scanner/rules/untrusted_to_deserialization.py	Adjusts PY-WL-106 clean example to remain clean under the updated taint behavior.

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