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Details of issue NIXPKGS-2026-0597

NIXPKGS-2026-0597
published on
Permalink CVE-2026-25960
7.1 HIGH
  • CVSS version (CVSS): 3.1
  • Attack Vector (AV): Network (N)
  • Attack Complexity (AC): Low (L)
  • Privileges Required (PR): Low (L)
  • User Interaction (UI): None (N)
  • Scope (S): Unchanged (U)
  • Confidentiality (C): High (H)
  • Integrity (I): None (N)
  • Availability (A): Low (L)
  • Modified Attack Vector (MAV): Network (N)
  • Modified Attack Complexity (MAC): Low (L)
  • Modified Privileges Required (MPR): Low (L)
  • Modified User Interaction (MUI): None (N)
  • Modified Confidentiality (MC): High (H)
  • Modified Scope (MS): Unchanged (U)
  • Modified Integrity (MI): None (N)
  • Modified Availability (MA): Low (L)
updated 2 months ago by @mweinelt Activity log
  • Created suggestion
  • @mweinelt ignored
    4 packages
    • pkgsRocm.vllm
    • python312Packages.vllm
    • python313Packages.vllm
    • pkgsRocm.python3Packages.vllm
  • @mweinelt accepted
  • @mweinelt published on GitHub
SSRF Protection Bypass in vLLM

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.

Affected products

vllm
  • ==>= 0.15.1, < 0.17.0

Matching in nixpkgs

pkgs.vllm

High-throughput and memory-efficient inference and serving engine for LLMs

Ignored packages (4)

Package maintainers

https://github.com/vllm-project/vllm/security/advisories/GHSA-v359-jj2v-j536
https://github.com/vllm-project/vllm/security/advisories/GHSA-qh4c-xf7m-gxfc