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VulnerabilityPublished Updated

CVE-2026-41523: vllm · Code Injection

Affects vllmSource CVE Database V5

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Not known to be exploited · CVSS 7.5 High : upgrade to 0.22.0 soon.

Data as of 5 Nov 2026, 00:01 UTC

CVSS 3.1 base score
7.5High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.9% chance of exploitation in 30 days – higher than 60% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 0.22.0
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 22 Jun 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 5 Nov 2026.

What to do

Upgrade vllm to 0.22.0.

Affected software

ProductAffectedFixed in
vllm-projectvllmAffected
  • <0.22.0
Fixed in
  • 0.22.0
PyPIvllmpkg:pypi/vllmOther threatsAffected
  • <0.22.0
Fixed in
  • 0.22.0

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

Upgrade vLLM to version 0.22.0 or later, where this vulnerability is fixed. Since this is a code execution vulnerability triggered by running vLLM in Python optimized mode, avoid running vLLM with python -O or PYTHONOPTIMIZE=1 if upgrading is not immediately possible. Patch status is confirmed fixed in 0.22.0 as per the vendor advisory.

Description

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

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