What is the CVSS score of CVE-2019-16553?

CVE-2019-16553 has a CVSS 3.1 base score of 8.8 (High). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H. EPSS exploitation probability: 0.7%.

Is there a patch available for CVE-2019-16553?

Yes, a patch is available for CVE-2019-16553. Update the affected software to the latest version immediately.

Build Failure Analyzer CVE-2019-16553

HIGH

Cross-Site Request Forgery (CSRF) (CWE-352)

2019-12-17 jenkinsci-cert@googlegroups.com

Jenkins CSRF Build Failure Analyzer

8.8

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

8.8 HIGH

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

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

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

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

Required

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

CVE Published

Dec 17, 2019 - 15:15 nvd

HIGH 8.8

DescriptionNVD

A cross-site request forgery vulnerability in Jenkins Build Failure Analyzer Plugin 1.24.1 and earlier allows attackers to have Jenkins evaluate a computationally expensive regular expression.

AnalysisAI

A cross-site request forgery vulnerability in Jenkins Build Failure Analyzer Plugin 1.24.1 and earlier allows attackers to have Jenkins evaluate a computationally expensive regular expression. Rated high severity (CVSS 8.8), this vulnerability is remotely exploitable, no authentication required, low attack complexity. No vendor patch available.

Technical ContextAI

This vulnerability is classified as Cross-Site Request Forgery (CSRF) (CWE-352), which allows attackers to trick authenticated users into performing unintended actions. A cross-site request forgery vulnerability in Jenkins Build Failure Analyzer Plugin 1.24.1 and earlier allows attackers to have Jenkins evaluate a computationally expensive regular expression. Affected products include: Jenkins Build Failure Analyzer.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Implement anti-CSRF tokens, validate Origin/Referer headers, use SameSite cookie attribute.