INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 6/8/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
What Your Posts Reveal: A Benchmark and Agentic Framework for User-Level Privacy Leakage on Social Media arXiv:2606.06784v1 Announce Type: new Abstract: Public social media posts can reveal private information through weak cues scattered across text, images, or metadata. Such leakage is often cumulative and cross-post: cues that appear harmless in isolation may jointly expose a user's home, workplace, or routine. However, current research lacks a unified benchmark for user-l…
https://arxiv.org/abs/2606.06784
sha256:a9da18fadc2a102beee09ee2016958e553f3a5bed4ff9238bde87e3e6ad9cba6
What we pulled out
Deterministic extractor (IOC + allowlisted tokens + ATT&CK IDs present in DB).
Indicators
Linked with report → mentions → indicator. Values open the indicator workspace.
No indicators linked for this report.
Malware families
Allowlist token matches only.
Threat actors mentioned
Allowlist mentions — not a formal attribution verdict.
ATT&CK techniques
MITRE IDs referenced in text and present in local technique table.
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