GSD-2020-2271
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
Jenkins Locked Files Report Plugin 1.6 and earlier does not escape locked files' names in tooltips, resulting in a stored cross-site scripting (XSS) vulnerability exploitable by attackers with Job/Configure permission.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-2271",
"description": "Jenkins Locked Files Report Plugin 1.6 and earlier does not escape locked files\u0027 names in tooltips, resulting in a stored cross-site scripting (XSS) vulnerability exploitable by attackers with Job/Configure permission.",
"id": "GSD-2020-2271"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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],
"details": "Jenkins Locked Files Report Plugin 1.6 and earlier does not escape locked files\u0027 names in tooltips, resulting in a stored cross-site scripting (XSS) vulnerability exploitable by attackers with Job/Configure permission.",
"id": "GSD-2020-2271",
"modified": "2023-12-13T01:21:50.994891Z",
"schema_version": "1.4.0"
}
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"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
"cwe_ids": [
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"CWE-79",
"CWE-937"
],
"date": "2020-09-18",
"description": "Jenkins Locked Files Report Plugin does not escape locked files\u0027 names in tooltips, resulting in a stored cross-site scripting (XSS) vulnerability exploitable by attackers with Job/Configure permission.",
"fixed_versions": [],
"identifier": "CVE-2020-2271",
"identifiers": [
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"not_impacted": "",
"package_slug": "maven/org.jvnet.hudson.plugins/locked-files-report",
"pubdate": "2020-09-16",
"solution": "Unfortunately, there is no solution available yet.",
"title": "Cross-site Scripting",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2020-2271",
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{
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"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
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"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 3.5,
"confidentialityImpact": "NONE",
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"vectorString": "AV:N/AC:M/Au:S/C:N/I:P/A:N",
"version": "2.0"
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"impactScore": 2.9,
"obtainAllPrivilege": false,
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"severity": "LOW",
"userInteractionRequired": true
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"impactScore": 2.7
}
},
"lastModifiedDate": "2023-11-02T21:47Z",
"publishedDate": "2020-09-16T14:15Z"
}
}
}
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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.
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- 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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