An empirical security study shows confused deputy attacks are practical on most edge AI accelerators via a new LLM-assisted analysis framework, with vendor-confirmed impact on over 100 million devices.
Vmud: Detecting recurring vulnerabilities with multiple fixing functions via function selection and semantic equivalent statement matching
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Measurement of 688 AI infra repositories shows frequent overlapping vulnerable patterns, and INFRASCOPE detects over 20 variants including 11 acknowledged and 4 with new CVEs.
citing papers explorer
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Speed Kills: Exploring Confused Deputy Attacks Through Edge AI Accelerators
An empirical security study shows confused deputy attacks are practical on most edge AI accelerators via a new LLM-assisted analysis framework, with vendor-confirmed impact on over 100 million devices.
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Hunting Vulnerability Variants in AI Infra: Measurement and Reference-Driven Detection
Measurement of 688 AI infra repositories shows frequent overlapping vulnerable patterns, and INFRASCOPE detects over 20 variants including 11 acknowledged and 4 with new CVEs.