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CVE-2026-41523
HIGH(7.5)CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
Risk Signal Score19/100 — NIEDRIG
- CVSS 7.5 — Hoch
EPSS-Score
0%
Exploit-Wahrscheinlichkeit (30 Tage)
CVSS Score
7.5
Technische Schwere
Beschreibung
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, an assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLLM runs in Python optimized mode (python -O or PYTHONOPTIMIZE=1). This vulnerability is fixed in 0.22.0.
GitHub Advisories
GHSA-q8gq-377p-jq3rHIGH
vLLM: Security Check Bypass via assert Statement in Activation Function Loading Allows Arbitrary Code Execution
pip/vllm→ 0.22.0
GitHub AdvisoryReferenzen
- https://github.com/vllm-project/vllm/commit/b3c7ffcab82c2439726f8cb213800f6f38c0...
- https://github.com/vllm-project/vllm/security/advisories/GHSA-q8gq-377p-jq3r
- https://huntr.com/bounties/dcb05b04-e625-41e7-adbc-bbae0cc2d64c
- https://access.redhat.com/errata/RHSA-2026:36005
- https://access.redhat.com/errata/RHSA-2026:36006
- https://access.redhat.com/security/cve/CVE-2026-41523
- https://bugzilla.redhat.com/show_bug.cgi?id=2491582
- https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-41523.json