{"data":{"id":"0e963086-b414-401b-9f3f-55ae8529d22d","title":"Social-HUMINT: An LLM-Augmented Unified Framework for Measuring Social Media Exposure","summary":"Researchers present Social-HUMINT, an LLM-augmented framework that measures how accurately a person can be profiled from public social media data and how far that profile enables social engineering. They unify SOCMINT and Cyber-HUMINT into a 38-capability taxonomy validated by domain experts (Fleiss' κ = 0.92). A multi-agent pipeline reached F1 = 97.3% for extraction and 4.73/5 for inferred attributes, and predicted participants' engagement choices above chance.","solution":"N/A -- no mitigation discussed in source.","labels":["security","privacy","research"],"sourceUrl":"https://arxiv.org/abs/2610.31573v1","publishedAt":"2026-10-22T17:13:46.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["pii_leakage"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["LLM-augmented multi-agent pipeline"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":null,"headlinePromptVersion":null,"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":null,"patchAvailable":null,"disclosureDate":"2026-10-22T17:13:46.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality"],"aiComponentTargeted":"agent","llmSpecific":true,"classifierConfidence":0.85,"researchCategory":"preprint","atlasIds":null}}