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.
References
Configurations
History
07 Jul 2026, 12:16
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30 Jun 2026, 03:19
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24 Jun 2026, 16:48
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Vllm
Vllm vllm |
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| CPE | cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:* | |
| References | () https://github.com/vllm-project/vllm/commit/b3c7ffcab82c2439726f8cb213800f6f38c023d3 - Patch | |
| References | () https://github.com/vllm-project/vllm/security/advisories/GHSA-q8gq-377p-jq3r - Exploit, Third Party Advisory | |
| References | () https://huntr.com/bounties/dcb05b04-e625-41e7-adbc-bbae0cc2d64c - Third Party Advisory |
22 Jun 2026, 23:16
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| New CVE |
Information
Published : 2026-06-22 23:16
Updated : 2026-07-15 02:21
NVD link : CVE-2026-41523
Mitre link : CVE-2026-41523
CVE.ORG link : CVE-2026-41523
JSON object : View
Products Affected
vllm
- vllm
