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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. Dependency Scanning using SBOM also detects vulnerabilities from proprietary advisories that this site does not include. Learn more about Dependency Scanning using SBOM →

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.

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