highCVSS 7.1NVD status: Modified

CVE-2026-25960

vLLM is an inference and serving engine for large language models (LLMs).

ComponentvLLM
Severityhigh (CVSS 7.1)
CVSS vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L
Published (NVD)2026-03-09
Last modified2026-07-21
Affected versions
vllm >= 0.15.1, < 0.17.0
Fixed in0.17.0
WeaknessCWE-918CWE-474
CISA KEVnot listed

NVD description

vLLM is an inference and serving engine for large language models (LLMs). The SSRF protection fix for CVE-2026-24779 add in 0.15.1 can be bypassed in the load_from_url_async method due to inconsistent URL parsing behavior between the validation layer and the actual HTTP client. The SSRF fix uses urllib3.util.parse_url() to validate and extract the hostname from user-provided URLs. However, load_from_url_async uses aiohttp for making the actual HTTP requests, and aiohttp internally uses the yarl library for URL parsing. This vulnerability in 0.17.0.

Does CVE-2026-25960 hit the version you run?Paste your docker-compose.yml, requirements.txt or package.json. The scanner checks your pinned versions against this CVE and every other one we track for vLLM.
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What to do

  • Upgrade vLLM to 0.17.0 or later.
  • Do not expose the component's API or UI to the internet without authentication in front of it.

Sources

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