CVE-2026-56340
vLLM vLLM, Red Hat AI Inference Server, Red Hat Enterprise Linux AI (RHEL AI) 3 취약점
vLLM versions >= 0.10.2 and < 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed (negative or out-of-bounds) tensor indices, when the prompt-embeds feature is enabled, to trigger crashes or resource exhaustion (denial of service), with potential for out-of-bounds/write-what-where memory corruption. This continues CVE-2025-62164, whose prior fix only disabled the feature by default rather than addressing the root cause.
- 대응 우선순위
- 점검
- CVSS
- 8.7
- EPSS
- 0.35% 백분위 27.5% · 2026.07.20 기준
- CISA KEV
- 미등록
- 조치 기한
- -
- 공개일
- 2026.06.21