GSD-2022-38665
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Jenkins CollabNet Plugins Plugin 2.0.8 and earlier stores a RabbitMQ password unencrypted in its global configuration file on the Jenkins controller where it can be viewed by users with access to the Jenkins controller file system.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-38665",
"description": "Jenkins CollabNet Plugins Plugin 2.0.8 and earlier stores a RabbitMQ password unencrypted in its global configuration file on the Jenkins controller where it can be viewed by users with access to the Jenkins controller file system.",
"id": "GSD-2022-38665"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-38665"
],
"details": "Jenkins CollabNet Plugins Plugin 2.0.8 and earlier stores a RabbitMQ password unencrypted in its global configuration file on the Jenkins controller where it can be viewed by users with access to the Jenkins controller file system.",
"id": "GSD-2022-38665",
"modified": "2023-12-13T01:19:22.244357Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"CVE_data_meta": {
"ASSIGNER": "jenkinsci-cert@googlegroups.com",
"ID": "CVE-2022-38665",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Jenkins CollabNet Plugins Plugin",
"version": {
"version_data": [
{
"version_affected": "\u003c=",
"version_name": "unspecified",
"version_value": "2.0.8"
}
]
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}
]
},
"vendor_name": "Jenkins project"
}
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"description": {
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"value": "Jenkins CollabNet Plugins Plugin 2.0.8 and earlier stores a RabbitMQ password unencrypted in its global configuration file on the Jenkins controller where it can be viewed by users with access to the Jenkins controller file system."
}
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"value": "n/a"
}
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}
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},
"references": {
"reference_data": [
{
"name": "https://www.jenkins.io/security/advisory/2022-08-23/#SECURITY-2157",
"refsource": "MISC",
"url": "https://www.jenkins.io/security/advisory/2022-08-23/#SECURITY-2157"
},
{
"name": "http://www.openwall.com/lists/oss-security/2022/08/23/2",
"refsource": "MISC",
"url": "http://www.openwall.com/lists/oss-security/2022/08/23/2"
}
]
}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "(,2.0.8]",
"affected_versions": "All versions up to 2.0.8",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
"cwe_ids": [
"CWE-1035",
"CWE-522",
"CWE-937"
],
"date": "2023-07-21",
"description": "Jenkins CollabNet Plugins Plugin 2.0.8 and earlier stores a RabbitMQ password unencrypted in its global configuration file on the Jenkins controller where it can be viewed by users with access to the Jenkins controller file system.",
"fixed_versions": [
"2.0.9"
],
"identifier": "CVE-2022-38665",
"identifiers": [
"CVE-2022-38665"
],
"not_impacted": "All versions after 2.0.8",
"package_slug": "maven/org.jenkins-ci.plugins/collabnet",
"pubdate": "2022-08-23",
"solution": "Upgrade to version 2.0.9 or above.",
"title": "Plaintext Storage of a Password",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2022-38665",
"https://www.jenkins.io/security/advisory/2022-08-23/#SECURITY-2157",
"http://www.openwall.com/lists/oss-security/2022/08/23/2"
],
"uuid": "ef29e5f3-6eb2-453d-8ef1-53ebd434a60d"
}
]
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:jenkins:collabnet:*:*:*:*:*:jenkins:*:*",
"cpe_name": [],
"versionEndIncluding": "2.0.8",
"vulnerable": true
}
],
"operator": "OR"
}
]
},
"cve": {
"CVE_data_meta": {
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"ID": "CVE-2022-38665"
},
"data_format": "MITRE",
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"data_version": "4.0",
"description": {
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{
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"value": "Jenkins CollabNet Plugins Plugin 2.0.8 and earlier stores a RabbitMQ password unencrypted in its global configuration file on the Jenkins controller where it can be viewed by users with access to the Jenkins controller file system."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "en",
"value": "CWE-522"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://www.jenkins.io/security/advisory/2022-08-23/#SECURITY-2157",
"refsource": "CONFIRM",
"tags": [
"Vendor Advisory"
],
"url": "https://www.jenkins.io/security/advisory/2022-08-23/#SECURITY-2157"
},
{
"name": "[oss-security] 20220823 Multiple vulnerabilities in Jenkins plugins",
"refsource": "MLIST",
"tags": [
"Mailing List",
"Third Party Advisory"
],
"url": "http://www.openwall.com/lists/oss-security/2022/08/23/2"
}
]
}
},
"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": "2023-11-02T20:53Z",
"publishedDate": "2022-08-23T17:15Z"
}
}
}
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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 |
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Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
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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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