What is the CVSS score of CVE-2025-11065?

CVE-2025-11065 has a CVSS 3.1 base score of 5.3 (Medium). CVSS vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:N/A:N. EPSS exploitation probability: 0.0%.

Which versions of Github are affected by CVE-2025-11065?

Organizations using A flaw should be aware of moderate risk from CVE-2025-11065 rated CVSS 5.3. Exploitation could compromise the security of affected deployments.. A patch is available.

How to fix or mitigate CVE-2025-11065?

Within 30 days: Identify affected systems running the field processing component using mapstructure.WeakDecode and apply vendor patches as part of regular patch cycle. Monitor vendor channels for patch availability.

Github CVE-2025-11065

MEDIUM

Error Message Information Leak (CWE-209)

2026-01-26 secalert@redhat.com

GHSA-2464-8j7c-4cjm

Information Disclosure Github Red Hat Suse

5.3

CVSS 3.1

CVSS VectorNVD

CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:N/A:N

Attack Vector

Network

Attack Complexity

High

Privileges Required

None

User Interaction

Required

Scope

Unchanged

Confidentiality

High

Integrity

None

Availability

None

Lifecycle Timeline

Patch released

Mar 31, 2026 - 21:13 nvd

Patch available

Analysis Generated

Mar 12, 2026 - 22:00 vuln.today

CVE Published

Jan 26, 2026 - 20:16 nvd

MEDIUM 5.3

DescriptionNVD

A flaw was found in github.com/go-viper/mapstructure/v2, in the field processing component using mapstructure.WeakDecode. This vulnerability allows information disclosure through detailed error messages that may leak sensitive input values via malformed user-supplied data processed in security-critical contexts.

AnalysisAI

A flaw was found in github.com/go-viper/mapstructure/v2, in the field processing component using mapstructure.WeakDecode. [CVSS 5.3 MEDIUM]

Technical ContextAI

Classified as CWE-209 (Error Message Information Leak). A flaw was found in github.com/go-viper/mapstructure/v2, in the field processing component using mapstructure.WeakDecode. This vulnerability allows information disclosure through detailed error messages that may leak sensitive input values via malformed user-supplied data processed in security-critical contexts.