GSD-2023-39152
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Always-incorrect control flow implementation in Jenkins Gradle Plugin 2.8 may result in credentials not being masked (i.e., replaced with asterisks) in the build log in some circumstances.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-39152",
"id": "GSD-2023-39152"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2023-39152"
],
"details": "Always-incorrect control flow implementation in Jenkins Gradle Plugin 2.8 may result in credentials not being masked (i.e., replaced with asterisks) in the build log in some circumstances.",
"id": "GSD-2023-39152",
"modified": "2023-12-13T01:20:33.627668Z",
"schema_version": "1.4.0"
}
},
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},
"affects": {
"vendor": {
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{
"product": {
"product_data": [
{
"product_name": "Jenkins Gradle Plugin",
"version": {
"version_data": [
{
"version_affected": "=",
"version_value": "2.8"
}
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}
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},
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}
]
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"value": "Always-incorrect control flow implementation in Jenkins Gradle Plugin 2.8 may result in credentials not being masked (i.e., replaced with asterisks) in the build log in some circumstances."
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"name": "https://www.jenkins.io/security/advisory/2023-07-26/#SECURITY-3208",
"refsource": "MISC",
"url": "https://www.jenkins.io/security/advisory/2023-07-26/#SECURITY-3208"
},
{
"name": "http://www.openwall.com/lists/oss-security/2023/07/26/2",
"refsource": "MISC",
"url": "http://www.openwall.com/lists/oss-security/2023/07/26/2"
}
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"nodes": [
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"operator": "OR"
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"cve": {
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{
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},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2023-07-31T18:13Z",
"publishedDate": "2023-07-26T14:15Z"
}
}
}
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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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