CVE-2026-25960CRITICAL 7.1EPSS p42.6%
CVE-2026-25960CVE-2026-25960
vllm / vllm
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.
Scoring
| CVSS 3.1 | 7.1 (CRITICAL) |
| Vector | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L |
| EPSS | 0.54% probability of exploitation · percentile 42.6% · 2026-08-03T12:00:16Z |
| Published | 2026-03-09 |
| Last modified | 2026-07-21 |
Underlying weaknesses· 1
References
1
| Type | Target | Confidence | Tier |
|---|---|---|---|
| Weakness | Server-Side Request Forgery (SSRF)cwe-918 | 0% | live |
Related by meaning· 6
Nearest entities by semantic similarity across the cs-graph corpus.