Skip to main content

Over 150 LLM Providers · Over 5,300 Models The most extensible AI-powered pentesting platform. Open source. Star on GitHub

CVE-2025-32381

6.5 · MEDIUM
Published Apr 9, 2025 mlc-ai CWE-770 EPSS 0.48% (39th pctl)

Overview

CVE-2025-32381 is a medium-severity vulnerability affecting mlc-ai xgrammar. It was published on April 9, 2025 and has a CVSS 3.1 base score of 6.5 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical Description

XGrammar is an open-source library for efficient, flexible, and portable structured generation. Prior to 0.1.18, Xgrammar includes a cache for compiled grammars to increase performance with repeated use of the same grammar. This cache is held in memory. Since the cache is unbounded, a system making use of xgrammar can be abused to fill up a host's memory and case a denial of service. For example, sending many small requests to an LLM inference server with unique JSON schemas would eventually cause this denial of service to occur. This vulnerability is fixed in 0.1.18.

Remediation

Check the references section for vendor advisories and patches from mlc-ai. Update xgrammar to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Affected Products

Vendor Product Versions Status
mlc-ai xgrammar >= 0, < 0.1.18 Affected

Frequently Asked Questions

What is CVE-2025-32381?

CVE-2025-32381 is a medium-severity vulnerability affecting mlc-ai xgrammar. It was published on April 9, 2025 and has a CVSS 3.1 base score of 6.5 (MEDIUM).

How severe is CVE-2025-32381?

This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2025-32381?

Check the references section for vendor advisories and patches from mlc-ai. Update xgrammar to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2025-32381?

CyberStrike's AI-powered security agents can automatically detect CVE-2025-32381 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.