INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 7/3/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
From Forgeries to Foundation Models: A Systematic Survey of Identity Document Attack and Detection arXiv:2607.01442v1 Announce Type: new Abstract: Identity document forgery has undergone a fundamental capability shift: generative AI tools now enable high-fidelity document synthesis and field-level manipulation with minimal technical expertise, while detection methods remain constrained by benchmarks that do not reflect this threat. The resulting attack surface spans physical…
https://arxiv.org/abs/2607.01442
sha256:ed3b1700249f7fdc91f42af8af4a57a9c52e641c0f1147a59db5b272dfdd3e74
What we pulled out
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Indicators
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Malware families
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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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