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Red Hat Security Advisory: Red Hat AI Inference Server 3.2.5 (CUDA)

0
High
Published: 12/15/2025 (12/15/2025, 15:38:04 UTC)
Source: GCVE Database
Vendor/Project: Red Hat Product Security
Product: Red Hat

Description

Red Hat AI Inference Server 3.2.5 (CUDA) is affected by multiple security vulnerabilities, including CVE-2025-9230 and others. One notable issue is a flaw in the golang.org/x/oauth2/jws package used for token parsing, which can lead to excessive memory consumption and denial of service when processing maliciously crafted tokens. The advisory does not currently provide a fix for these vulnerabilities. Mitigation involves pre-validating payloads to avoid excessive '.' characters in tokens. The vulnerabilities have a high severity rating but no known exploits in the wild have been reported.

Affected software

Affected versions
>=3.2.0 <=3.2.5

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 08/07/2026, 00:28:12 UTC

Technical Analysis

The Red Hat AI Inference Server 3.2.5 (CUDA) contains multiple vulnerabilities, including CVE-2025-22868, which involves improper token parsing in the golang.org/x/oauth2/jws package. This vulnerability arises from using strings.Split(token, ".") to parse JWT tokens, allowing attackers to craft tokens with many '.' characters that cause excessive memory consumption and potential denial of service. The advisory lists 11 CVEs affecting the product but does not indicate any available patches or fixes. The vulnerabilities are rated high severity by Red Hat, with no known exploits in the wild. Mitigation recommendations include pre-validating tokens to limit '.' characters before processing.

Potential Impact

The primary impact is a denial of service condition caused by memory exhaustion when processing maliciously crafted tokens with excessive '.' characters. This can disrupt the availability of the Red Hat AI Inference Server. No confidentiality or integrity impacts are indicated. There are no known active exploits in the wild at this time.

Mitigation Recommendations

Currently, no official fix or patch is available for these vulnerabilities in Red Hat AI Inference Server 3.2.5 (CUDA). Red Hat recommends mitigating the token parsing vulnerability by pre-validating any payloads passed to the go-jose library to ensure they do not contain an excessive number of '.' characters. Users should monitor Red Hat advisories for updates and consider applying mitigations as described until a fix is released.

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Technical Details

Gcve Source
db.gcve.eu
Csaf Category
csaf_security_advisory
Csaf Version
2.0
Publisher
Red Hat Product Security
Advisory Id
RHSA-2025:23204
Cve Count
11
Additional Cves
["CVE-2025-9714","CVE-2025-22868","CVE-2025-22869","CVE-2025-52565","CVE-2025-59375","CVE-2025-62164","CVE-2025-62372","CVE-2025-62593","CVE-2025-66448","CVE-2025-66506"]
Cvss Version
null

Threat ID: 6a160974e29bf47b5063decf

Added to database: 05/26/2026, 20:58:28 UTC

Last enriched: 08/07/2026, 00:28:12 UTC

Last updated: 08/07/2026, 00:41:11 UTC

Views: 69

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