CVE-2015-5317 (GCVE-0-2015-5317)
Vulnerability from cvelistv5 – Published: 2015-11-25 20:00 – Updated: 2025-10-21 23:55Summary
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.
Severity
7.5 (High)
SSVC
Exploitation: active
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-07 13:39 UTC
CWE
- n/a
- CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor
Assigner
References
4 references
| URL | Tags |
|---|---|
| http://rhn.redhat.com/errata/RHSA-2016-0489.html | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2016:0070 | vendor-advisoryx_refsource_REDHAT |
| https://wiki.jenkins-ci.org/display/SECURITY/Jenk… | x_refsource_CONFIRM |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Date Public
2015-11-18 00:00
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 4a778bca-6e51-4166-971e-398b4c7ddf94
Exploited: Yes
Timestamps
First Seen: 2023-05-12
Asserted: 2023-05-12
Scope
Notes: KEV entry: Jenkins User Interface (UI) Information Disclosure Vulnerability | Affected: Jenkins / Jenkins User Interface (UI) | Description: Jenkins User Interface (UI) contains an information disclosure vulnerability that allows users to see the names of jobs and builds otherwise inaccessible to them on the "Fingerprints" pages. | Required action: Apply updates per vendor instructions. | Due date: 2023-06-02 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://www.jenkins.io/security/advisory/2015-11-11/; https://nvd.nist.gov/vuln/detail/CVE-2015-5317
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-200 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Jenkins User Interface (UI) |
| Due Date | 2023-06-02 |
| Date Added | 2023-05-12 |
| Vendorproject | Jenkins |
| Vulnerabilityname | Jenkins User Interface (UI) Information Disclosure Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-02-02 12:26 UTC
| Updated: 2026-02-06 07:17 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: ce5f5e8d-59ce-4eed-b77e-0f581e6bf509
Exploited: Yes
Timestamps
First Seen: 2023-05-12
Asserted: 2023-05-12
Scope
Notes: KEVIntel entry: 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... | Affected: Jenkins / Jenkins | CVSS: 7.5 (HIGH) | Used in malware: unknown | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | 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... |
| Vendor | Jenkins |
| Product | Jenkins |
| Added Date | 2023-05-12T00:00:00.000Z |
| Cvss Score | 7.5 |
| Epss Score | None |
| Cvss Severity | HIGH |
| Epss Percentile | None |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | False |
References
Created: 2026-06-23 14:05 UTC
| Updated: 2026-07-10 06:14 UTC
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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