INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 5/20/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
Token by Token, Compromised: Backdoor Vulnerabilities in Unified Autoregressive Models arXiv:2605.19227v1 Announce Type: new Abstract: Unified autoregressive models (UAMs) are transformer models that generate text as well as image tokens within a single autoregressive pass. Shared parameters and a multimodal vocabulary simplify the training pipeline and facilitate flexible multimodal generation, yet might introduce new vulnerabilities. In particular, we are the first to show…
https://arxiv.org/abs/2605.19227
sha256:9b88365dfa11f7f32b3a6707db37543d51e9ce7c6a4cb2f48d7eac3f25b3e442
What we pulled out
Deterministic extractor (IOC + allowlisted tokens + ATT&CK IDs present in DB).
Indicators
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Malware families
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Threat actors mentioned
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ATT&CK techniques
MITRE IDs referenced in text and present in local technique table.
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