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xgrammar Vulnerable to Denial of Service (DoS) by abusing unbounded cache in memory

Moderate severity GitHub Reviewed Published Apr 8, 2025 in mlc-ai/xgrammar • Updated Apr 9, 2025

Package

pip xgrammar (pip)

Affected versions

< 0.1.18

Patched versions

0.1.18

Description

Summary

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.

Details

The fix is to add a limit to the cache size. This was done in mlc-ai/xgrammar#243

An example of making use of the new cache size limit can be found in vLLM here: vllm-project/vllm#16283

Impact

Any system making use of Xgrammar and taking requests as input from potentially untrusted parties would be vulnerable to this denial of service issue.

References

@Ubospica Ubospica published to mlc-ai/xgrammar Apr 8, 2025
Published to the GitHub Advisory Database Apr 9, 2025
Reviewed Apr 9, 2025
Published by the National Vulnerability Database Apr 9, 2025
Last updated Apr 9, 2025

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
Low
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(12th percentile)

Weaknesses

CVE ID

CVE-2025-32381

GHSA ID

GHSA-389x-67px-mjg3

Source code

Credits

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