CVE-2022-29036 (GCVE-0-2022-29036)
Vulnerability from cvelistv5 – Published: 2022-04-12 00:00 – Updated: 2024-08-03 06:10
VLAI
EPSS
VEX
Summary
Jenkins Credentials Plugin 1111.v35a_307992395 and earlier, except 1087.1089.v2f1b_9a_b_040e4, 1074.1076.v39c30cecb_0e2, and 2.6.1.1, does not escape the name and description of Credentials 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
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Jenkins project | Jenkins Credentials Plugin |
Unaffected:
2.6.1.1
Unaffected: 1074.1076.v39c30cecb_0e2 Unaffected: 1087.1089.v2f1b_9a_b_040e4 Affected: unspecified , ≤ 1111.v35a_307992395 (custom) |
guessed |
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"id": "CVE-2022-29036",
"lastModified": "2024-11-21T06:58:22.993",
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"redhat_vex": {
"aggregate_severity": "Important",
"current_release_date": "2025-11-21T15:51:48+00:00",
"cve": "CVE-2022-29036",
"id": "CVE-2022-29036",
"initial_release_date": "2022-04-12T00:00:00+00:00",
"product_status:fixed": "12",
"product_status:known_not_affected": "210",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "credentials: Stored XSS vulnerabilities in jenkins plugin",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2022/cve-2022-29036.json",
"version": "3"
}
}
}
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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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