INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 7/7/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
Vision Token Manipulation Attacks on Cloud-Edge Inference of Large Vision-Language Models arXiv:2607.02819v1 Announce Type: new Abstract: Cloud-edge Large Vision-Language Model (LVLM) inference enables efficient deployment by splitting computation between edge devices and cloud servers. In this process, intermediate vision tokens are transmitted from the edge to the cloud over a communication link, thereby exposing a new attack surface. We study vision token manipulation att…
https://arxiv.org/abs/2607.02819
sha256:c707f157d411169c599a0d325e43dae796b0f4a40ba10eddfb48810faf3ec77f
What we pulled out
Deterministic extractor (IOC + allowlisted tokens + ATT&CK IDs present in DB).
Indicators
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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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