VULNERABILITY INTELLIGENCE
CVE-2026-25960
CVSS score7.1 HIGH
EPSS probability0.57%
CISA KEVNot currently listed
Published2026-03-09
Last modified2026-07-21
CVSS vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L
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.
Weakness classification
- security-advisories@github.com: CWE-918
- 0b0ca135-0b70-47e7-9f44-1890c2a1c46c: CWE-474
Primary references
- security-advisories@github.com — Patch
- security-advisories@github.com — Issue Tracking, Patch
- security-advisories@github.com — Not Applicable
- security-advisories@github.com — Exploit, Patch, Vendor Advisory
- 0b0ca135-0b70-47e7-9f44-1890c2a1c46c
- 0b0ca135-0b70-47e7-9f44-1890c2a1c46c
- 0b0ca135-0b70-47e7-9f44-1890c2a1c46c
- 0b0ca135-0b70-47e7-9f44-1890c2a1c46c
- 0b0ca135-0b70-47e7-9f44-1890c2a1c46c