CVE-2026-41523
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 activati
CVSS
7.5
Alto
EPSS
0.5%
p39
KEV
—
Exploit Today
12
0-100
Publicado: 22 jun 2026 · Última mod.: 15 jul 2026 · CWE-94 · CWE-617
0.5%EPSS · 30 días0.5%
2026-06-302026-07-17
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.comhttps://github.com/vllm-project/vllm/commit/b3c7ffcab82c2439726f8cb213800f6f38c023d3
- github.comhttps://github.com/vllm-project/vllm/security/advisories/GHSA-q8gq-377p-jq3r
- huntr.comhttps://huntr.com/bounties/dcb05b04-e625-41e7-adbc-bbae0cc2d64c
- access.redhat.comhttps://access.redhat.com/errata/RHSA-2026:36005
- access.redhat.comhttps://access.redhat.com/errata/RHSA-2026:36006
- access.redhat.comhttps://access.redhat.com/security/cve/CVE-2026-41523
- bugzilla.redhat.comhttps://bugzilla.redhat.com/show_bug.cgi?id=2491582
- security.access.redhat.comhttps://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-41523.json
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