mlc-ai xgrammar 0.1.23 allocation of resources

CVSS Meta Temp Score
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CTI Interest Score
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6.3$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as problematic, has been found in mlc-ai xgrammar 0.1.23. Impacted is an unknown function. The manipulation leads to allocation of resources. This vulnerability is traded as CVE-2025-58446. It is possible to initiate the attack remotely. There is no exploit available. It is advisable to upgrade the affected component.

Detailsinfo

A vulnerability was found in mlc-ai xgrammar 0.1.23. It has been rated as problematic. This issue affects an unknown functionality. The manipulation with an unknown input leads to a allocation of resources vulnerability. Using CWE to declare the problem leads to CWE-770. The product allocates a reusable resource or group of resources on behalf of an actor without imposing any restrictions on the size or number of resources that can be allocated, in violation of the intended security policy for that actor. Impacted is availability. The summary by CVE is:

xgrammar is an open-source library for efficient, flexible, and portable structured generation. A grammar optimizer introduced in 0.1.23 processes large grammars (>100k characters) at very low rates, and can be used for DOS of model providers. This issue is fixed in version 0.1.24.

The advisory is shared at github.com. The identification of this vulnerability is CVE-2025-58446 since 09/01/2025. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1499 for this issue.

Upgrading to version 0.1.24 eliminates this vulnerability. Applying the patch ced69c3ad2f8f61b516cc278a342e7c644383e27 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2025-27083). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

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CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 6.4
VulDB Meta Temp Score: 6.3

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔒

CVSSv2info

AVACAuCIA
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Allocation of resources
CWE: CWE-770 / CWE-400 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: xgrammar 0.1.24
Patch: ced69c3ad2f8f61b516cc278a342e7c644383e27

Timelineinfo

09/01/2025 CVE reserved
09/06/2025 +5 days Advisory disclosed
09/06/2025 +0 days VulDB entry created
09/19/2025 +13 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: GHSA-9q5r-wfvf-rr7f
Status: Confirmed

CVE: CVE-2025-58446 (🔒)
GCVE (CVE): GCVE-0-2025-58446
GCVE (VulDB): GCVE-100-323009
EUVD: 🔒

Entryinfo

Created: 09/06/2025 23:42
Updated: 09/19/2025 05:57
Changes: 09/06/2025 23:42 (69), 09/07/2025 02:39 (1), 09/19/2025 05:57 (11)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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