Security Resilience

CVE-2015-5317

Info Disclosure in Jenkins ≤ 1.637

CISA KEVActive ExploitationEUVD ExploitedInfo Disclosure
Published
25 November 2015
Modified
22 April 2026
KEV Added
12 May 2023
Patch / advisory
CVSS Score v3.1 7.5
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
EPSS Score 0.23 98th percentile
Risk Priority 84 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2015-5317 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Jenkins Jenkins. Its CVSS base score is 7.5 (High).

Operationally, ranked in the top 2% of CVEs by exploit likelihood; CISA has added it to the Known Exploited Vulnerabilities catalog.

Deeper analysis AI-assisted summary

Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.

The vulnerability CVE-2015-5317 is an information exposure issue affecting the Fingerprints pages in Jenkins versions prior to 1.638 and LTS versions prior to 1.625.2. It is classified under CWE-200 with a CVSS score of 7.5, indicating a network-accessible flaw without authentication requirements that impacts confidentiality.

Remote attackers can exploit this by making direct requests to the affected pages, potentially obtaining sensitive details about job and build names without any user interaction or privileges.

Advisories from Jenkins and Red Hat, including the Jenkins Security Advisory 2015-11-11 and RHSA-2016-0489, recommend applying patches to update to the fixed versions to mitigate the exposure.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

The Fingerprints pages in Jenkins before 1.638 and LTS before 1.625.2 might allow remote attackers to obtain sensitive job and build name information via a direct request.

CWE(s)
KEV Date Added
12 May 2023

Related Threats

CVEs Like This One

CVE-2016-0792Same product: Jenkins Jenkins
CVE-2018-1000861Same product: Jenkins Jenkinsboth on KEV
CVE-2024-23897Same product: Jenkins Jenkinsboth on KEV
CVE-2026-27100Same product: Jenkins Jenkins
CVE-2019-1003030Same vendor: Jenkinsboth on KEV
CVE-2019-1003029Same vendor: Jenkinsboth on KEV
CVE-2015-8103Same product: Jenkins Jenkins
CVE-2024-9453Same product: Jenkins Jenkins
CVE-2017-1000353Same product: Jenkins Jenkinsboth on KEV
CVE-2016-2388Shared CWE-200both on KEV

Affected Assets

jenkins
jenkins
≤ 1.637 · ≤ 1.625.1
redhat
openshift
2.0 · ≤ 3.1

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-200

Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.

addresses: CWE-200

Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.

addresses: CWE-200

Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.

addresses: CWE-200

By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.

addresses: CWE-200

Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.

addresses: CWE-200

Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.

addresses: CWE-200

Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.

addresses: CWE-200

Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

blocks

A.5.10 only requires awareness, a topic-specific acceptable-use policy stating expected behaviours/monitoring, and procedures referencing classification and other controls; per the owner's explicit rule on labelling and similar dependency-style clauses, this does not itself prevent exposure (CWE-200) unless access/DLP/etc. act on it.

blocks

Requiring the return of all physical and electronic assets plus secure deletion of organizational data from personal devices reduces the chance that sensitive information remains accessible to departing personnel.

blocks

A.5.12 only defines and communicates a classification scheme so that protection needs can be understood; per the owner's explicit rule, labeling/classification does not itself prevent exposure and requires other controls (e.g. access enforcement) to act on it.

blocks

By requiring classification labels and metadata on all information assets, the control makes it harder for sensitive data to be inadvertently exposed because downstream systems and users can recognize and enforce handling rules based on those labels.

blocks

Requiring encryption, access controls, and recipient authentication for transfers directly reduces the chance that sensitive data reaches an unauthorized observer.

blocks

Secure delivery, protected storage, and confidentiality of allocation records limit exposure of authentication material to unauthorized observers.

Hardening callouts derived

DISA STIG baselines are authored against specific weaknesses. Where this CVE cites a broad weakness class, the mapping is not asserted at that abstraction (owner ruling, 2026-09-25: grade only at Base and below), so no rule is shown here rather than a rule shown against the wrong grain.

References