Advisory Database
  • Advisories
  • Dependency Scanning
  1. pypi
  2. ›
  3. vllm
  4. ›
  5. CVE-2025-61620

CVE-2025-61620: vLLM: Resource-Exhaustion (DoS) through Malicious Jinja Template in OpenAI-Compatible Server

October 7, 2025

A resource-exhaustion (denial-of-service) vulnerability exists in multiple endpoints of the OpenAI-Compatible Server due to the ability to specify Jinja templates via the chat_template and chat_template_kwargs parameters. If an attacker can supply these parameters to the API, they can cause a service outage by exhausting CPU and/or memory resources.

References

  • github.com/advisories/GHSA-6fvq-23cw-5628
  • github.com/vllm-project/vllm
  • github.com/vllm-project/vllm/commit/7977e5027c2250a4abc1f474c5619c40b4e5682f
  • github.com/vllm-project/vllm/pull/25794
  • github.com/vllm-project/vllm/security/advisories/GHSA-6fvq-23cw-5628
  • nvd.nist.gov/vuln/detail/CVE-2025-61620

Code Behaviors & Features

Detect and mitigate CVE-2025-61620 with GitLab Dependency Scanning

Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Learn more about Dependency Scanning →

Affected versions

All versions starting from 0.5.1 before 0.11.0

Fixed versions

  • 0.11.0

Solution

Upgrade to version 0.11.0 or above.

Impact 6.5 MEDIUM

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Learn more about CVSS

Weakness

  • CWE-20: Improper Input Validation
  • CWE-400: Uncontrolled Resource Consumption
  • CWE-770: Allocation of Resources Without Limits or Throttling

Source file

pypi/vllm/CVE-2025-61620.yml

Spotted a mistake? Edit the file on GitLab.

  • Site Repo
  • About GitLab
  • Terms
  • Privacy Statement
  • Contact

Page generated Mon, 13 Oct 2025 12:21:49 +0000.