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Marius CiepluchandClaude Opus 4.8
a3945427ab
Two design questions answered by the entailment measurement. IL, not AST. Our semantic/ir.py is a lossy AST projection -- flat call/bind lists, no CFG, no PDG -- which is *why* entailment is 2.2%. Guard dominance is a dominator-tree question and path-sensitive taint needs branch structure; a flat bind list expresses neither. Real abstract interpretation is a fixpoint over a CFG, so the substrate is a Code Property Graph: AST + CFG + PDG + call graph in one queryable graph, taint as source->sink-minus-sanitizer reachability, absence as dominance. Adopt, not build. Building a multi-language CFG/PDG/taint engine on tree-sitter is reinventing CodeQL/Semgrep/Joern -- the maximal case of this session's failure mode. Joern is Apache-2.0, covers our exact corpus (C/C++/Java/JS/Python/Kotlin/binary), has a taint engine, is embeddable, and a CPG+LLM MCP bridge already exists. The 2.2% on our flat IR is the measured distance to a real CPG, and closing it by hand is reimplementing Joern. The flow: source -> Joern CPG -> taint + dominance -> deterministic entailed/corroborated verdict -> LLM judges the residual, checked against the CPG. What stays ours is the contribution: the taxonomy and the source/sink/sanitizer/guard models for the web/logic CWEs, ported to CPG queries, plus the LLM-checked-against-the-model orchestration. Joern is a workbench with no opinion on these classes; that opinion is our layer. Named cost: Joern is JVM/Scala, so server-mode or the MCP bridge, not in-process. Three-layer adoption now: Joern CPG for the web/logic arbiter, Clearwing for the memory/C execution tier, and our security modelling + LLM orchestration as the layer that binds them. Co-Authored-By: Claude Opus 4.8 <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG