Nixpkgs security tracker

Login with GitHub

Details of issue NIXPKGS-2026-0798

NIXPKGS-2026-0798
published on
Permalink CVE-2026-27893
8.8 HIGH
  • CVSS version (CVSS): 3.1
  • Attack Vector (AV): Network (N)
  • Attack Complexity (AC): Low (L)
  • Privileges Required (PR): None (N)
  • User Interaction (UI): Required (R)
  • Scope (S): Unchanged (U)
  • Confidentiality (C): High (H)
  • Integrity (I): High (H)
  • Availability (A): High (H)
  • Modified Attack Vector (MAV): Network (N)
  • Modified Attack Complexity (MAC): Low (L)
  • Modified Privileges Required (MPR): None (N)
  • Modified User Interaction (MUI): Required (R)
  • Modified Confidentiality (MC): High (H)
  • Modified Scope (MS): Unchanged (U)
  • Modified Integrity (MI): High (H)
  • Modified Availability (MA): High (H)
updated 1 month, 2 weeks ago by @LeSuisse Activity log
  • Created suggestion 1 month, 2 weeks ago
  • @LeSuisse accepted 1 month, 2 weeks ago
  • @LeSuisse published on GitHub 1 month, 2 weeks ago
vLLM's hardcoded trust_remote_code=True in NemotronVL and KimiK25 bypasses user security opt-out

vLLM is an inference and serving engine for large language models (LLMs). Starting in version 0.10.1 and prior to version 0.18.0, two model implementation files hardcode `trust_remote_code=True` when loading sub-components, bypassing the user's explicit `--trust-remote-code=False` security opt-out. This enables remote code execution via malicious model repositories even when the user has explicitly disabled remote code trust. Version 0.18.0 patches the issue.

Affected products

vllm
  • ==>= 0.10.1, < 0.18.0

Matching in nixpkgs

pkgs.vllm

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

Package maintainers

Upstream advisory: https://github.com/vllm-project/vllm/security/advisories/GHSA-7972-pg2x-xr59