GSD-2022-41236
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
A cross-site request forgery (CSRF) vulnerability in Jenkins Security Inspector Plugin 117.v6eecc36919c2 and earlier allows attackers to replace the generated report stored in a per-session cache and displayed to authorized users at the .../report URL with a report based on attacker-specified report generation options.
Aliases
Aliases
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"alias": "CVE-2022-41236",
"id": "GSD-2022-41236"
},
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"exploitCode": "unknown",
"remediation": "unknown",
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"modified": "2023-12-13T01:19:32.369977Z",
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"date": "2022-12-06",
"description": "A cross-site request forgery (CSRF) vulnerability in Jenkins Security Inspector Plugin 117.v6eecc36919c2 and earlier allows attackers to replace the generated report stored in a per-session cache and displayed to authorized users at the .../report URL with a report based on attacker-specified report generation options.",
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"package_slug": "maven/org.jenkins-ci.plugins/security-inspector",
"pubdate": "2022-09-22",
"solution": "Unfortunately, there is no solution available yet.",
"title": "Cross-Site Request Forgery (CSRF)",
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"baseScore": 8.8,
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"lastModifiedDate": "2023-11-01T20:19Z",
"publishedDate": "2022-09-21T16:15Z"
}
}
}
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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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