GSD-2023-32262
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
A potential vulnerability has been identified in the Micro Focus Dimensions CM Plugin for Jenkins. The vulnerability allows attackers with Item/Configure permission to access and capture credentials they are not entitled to.
See the following Jenkins security advisory for details: * https://www.jenkins.io/security/advisory/2023-06-14/ https://www.jenkins.io/security/advisory/2023-06-14/
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-32262",
"id": "GSD-2023-32262"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2023-32262"
],
"details": "\nA potential vulnerability has been identified in the Micro Focus Dimensions CM Plugin for Jenkins. The vulnerability allows attackers with Item/Configure permission to access and capture credentials they are not entitled to.\nSee the following Jenkins security advisory for details: * https://www.jenkins.io/security/advisory/2023-06-14/ https://www.jenkins.io/security/advisory/2023-06-14/ \n\n\n\n\n",
"id": "GSD-2023-32262",
"modified": "2023-12-13T01:20:23.509701Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "security@opentext.com",
"ID": "CVE-2023-32262",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Dimensions CM",
"version": {
"version_data": [
{
"version_affected": "\u003c=",
"version_name": "0.8.17",
"version_value": "0.9.3"
}
]
}
}
]
},
"vendor_name": "Micro Focus"
}
]
}
},
"credits": [
{
"lang": "en",
"value": "Alvaro Mu\u00c3\u00b1oz (@pwntester), GitHub Security Lab"
}
],
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "\nA potential vulnerability has been identified in the Micro Focus Dimensions CM Plugin for Jenkins. The vulnerability allows attackers with Item/Configure permission to access and capture credentials they are not entitled to.\nSee the following Jenkins security advisory for details: * https://www.jenkins.io/security/advisory/2023-06-14/ https://www.jenkins.io/security/advisory/2023-06-14/ \n\n\n\n\n"
}
]
},
"generator": {
"engine": "Vulnogram 0.1.0-dev"
},
"impact": {
"cvss": [
{
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
"version": "3.1"
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "n/a"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://www.jenkins.io/security/advisory/2023-06-14/",
"refsource": "MISC",
"url": "https://www.jenkins.io/security/advisory/2023-06-14/"
},
{
"name": "https://plugins.jenkins.io/dimensionsscm/",
"refsource": "MISC",
"url": "https://plugins.jenkins.io/dimensionsscm/"
},
{
"name": "https://portal.microfocus.com/s/article/KM000019298",
"refsource": "MISC",
"url": "https://portal.microfocus.com/s/article/KM000019298"
}
]
},
"solution": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\n\n\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003eMicro Focus has resolved the vulnerability in the latest release of the Dimensions CM Plugin for Jenkins (version 0.9.3.1):\u003cbr\u003e\u003c/span\u003e\u003ca target=\"_blank\" rel=\"nofollow\" href=\"https://plugins.jenkins.io/dimensionsscm/\"\u003e\u003ci\u003e\u003cbr\u003ehttps://plugins.jenkins.io/dimensionsscm/\u003c/i\u003e\u003c/a\u003e\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003cbr\u003e"
}
],
"value": "\nMicro Focus has resolved the vulnerability in the latest release of the Dimensions CM Plugin for Jenkins (version 0.9.3.1):\n \nhttps://plugins.jenkins.io/dimensionsscm/ https://plugins.jenkins.io/dimensionsscm/ \n\n"
}
],
"source": {
"discovery": "UNKNOWN"
}
},
"nvd.nist.gov": {
"configurations": {
"CVE_data_version": "4.0",
"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:microfocus:dimensions_cm:*:*:*:*:*:jenkins:*:*",
"cpe_name": [],
"versionEndExcluding": "0.9.3.1",
"versionStartIncluding": "0.8.17",
"vulnerable": true
}
],
"operator": "OR"
}
]
},
"cve": {
"CVE_data_meta": {
"ASSIGNER": "security@opentext.com",
"ID": "CVE-2023-32262"
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "en",
"value": "\nA potential vulnerability has been identified in the Micro Focus Dimensions CM Plugin for Jenkins. The vulnerability allows attackers with Item/Configure permission to access and capture credentials they are not entitled to.\nSee the following Jenkins security advisory for details: * https://www.jenkins.io/security/advisory/2023-06-14/ https://www.jenkins.io/security/advisory/2023-06-14/ \n\n\n\n\n"
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-noinfo"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://www.jenkins.io/security/advisory/2023-06-14/",
"refsource": "MISC",
"tags": [
"Third Party Advisory"
],
"url": "https://www.jenkins.io/security/advisory/2023-06-14/"
},
{
"name": "https://plugins.jenkins.io/dimensionsscm/",
"refsource": "MISC",
"tags": [
"Product"
],
"url": "https://plugins.jenkins.io/dimensionsscm/"
},
{
"name": "https://portal.microfocus.com/s/article/KM000019298",
"refsource": "MISC",
"tags": [
"Vendor Advisory"
],
"url": "https://portal.microfocus.com/s/article/KM000019298"
}
]
}
},
"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": "2023-07-28T14:22Z",
"publishedDate": "2023-07-19T16:15Z"
}
}
}
Loading…
Loading…
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.
Loading…
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.
Loading…
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.
Loading…