CVE-2022-29046 (GCVE-0-2022-29046)
Vulnerability from cvelistv5 – Published: 2022-04-12 19:50 – Updated: 2024-08-03 06:10
VLAI
EPSS
VEX
Summary
Jenkins Subversion Plugin 2.15.3 and earlier does not escape the name and description of List Subversion tags (and more) parameters on views displaying parameters, resulting in a stored cross-site scripting (XSS) vulnerability exploitable by attackers with Item/Configure permission.
Severity
5.4 (Medium)
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://www.jenkins.io/security/advisory/2022-04-… | x_refsource_CONFIRM |
| https://support.apple.com/kb/HT213345 | x_refsource_CONFIRM |
| http://seclists.org/fulldisclosure/2022/Jul/18 | mailing-listx_refsource_FULLDISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Jenkins project | Jenkins Subversion Plugin |
Affected:
unspecified , ≤ 2.15.3
(custom)
|
guessed |
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"cve": "CVE-2022-29046",
"id": "CVE-2022-29046",
"initial_release_date": "2022-04-12T00:00:00+00:00",
"product_status:fixed": "12",
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"source": "Red Hat CSAF VEX",
"status": "final",
"title": "subversion: Stored XSS vulnerabilities in Jenkins subversion plugin",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2022/cve-2022-29046.json",
"version": "3"
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}
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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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