{"data":{"id":"1e2a5835-ea5c-4f7d-9e54-e2fb61eff12c","title":"SemAder: Evading LLM-Based Binary Code Analysis via Structure-Semantics Joint Induction","summary":"Researchers discovered that SemAder, a technique that manipulates both the structure and meaning of binary code (compiled programs), can fool LLM-based binary code analysis tools into missing security problems. The study shows that by carefully modifying how code is organized and what it semantically does, attackers can evade detection systems that use large language models to analyze compiled programs for vulnerabilities.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://dl.acm.org/doi/abs/10.1145/3818619?ai=2p1&mi=hx017f&af=R","publishedAt":"2026-07-01T12:01:17.684Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_evasion"],"issueType":"research","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}