CVE-2026-25960
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.
- Score
- CVSS 3.1 9.8 Critical
- Status
- Modified - security-advisories@github.com
- Published
- 2026-03-09
- Last modified
- 2026-07-21
- Weaknesses
- CWE-474, CWE-918
Affected products
- Ai Inference Server (Redhat)
- Enterprise Linux Ai (Redhat)
- Openshift Ai (Redhat)
- Vllm (Vllm)
- Vllm (Vllm-project)
References
- https://github.com/vllm-project/vllm/commit/6f3b2047abd4a748e3db4a68543f8221358002c0
- https://github.com/vllm-project/vllm/pull/34743
- https://github.com/vllm-project/vllm/security/advisories/GHSA-qh4c-xf7m-gxfc
- https://github.com/vllm-project/vllm/security/advisories/GHSA-v359-jj2v-j536
- https://access.redhat.com/errata/RHSA-2026:24977
- https://access.redhat.com/errata/RHSA-2026:42644
- https://access.redhat.com/security/cve/CVE-2026-25960
- https://bugzilla.redhat.com/show_bug.cgi?id=2445892
- https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-25960.json
