Vulnerability 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.
CVSS Score
HIGH
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Vllm | Vllm | >= 0.15.1, < 0.17.0 |
Related Weaknesses (CWE)
References
- https://github.com/vllm-project/vllm/commit/6f3b2047abd4a748e3db4a68543f82213580Patch
- https://github.com/vllm-project/vllm/pull/34743Issue TrackingPatch
- https://github.com/vllm-project/vllm/security/advisories/GHSA-qh4c-xf7m-gxfcNot Applicable
- https://github.com/vllm-project/vllm/security/advisories/GHSA-v359-jj2v-j536ExploitPatchVendor Advisory
FAQ
What is CVE-2026-25960?
CVE-2026-25960 is a vulnerability with a CVSS score of 7.1 (HIGH). 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...
How severe is CVE-2026-25960?
CVE-2026-25960 has been rated HIGH with a CVSS base score of 7.1/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2026-25960?
Check the references section above for vendor advisories and patch information. Affected products include: Vllm Vllm.