GSD-2023-31179
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
AgilePoint NX v8.0 SU2.2 & SU2.3 - Path traversal - Vulnerability allows path traversal and downloading files from the server, by an unspecified request.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-31179",
"id": "GSD-2023-31179"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "AgilePoint NX v8.0 SU2.2 \u0026 SU2.3 - Path traversal -\u00a0Vulnerability allows path traversal and downloading files from the server, by an unspecified request.\n\n",
"id": "GSD-2023-31179",
"modified": "2023-12-13T01:20:29.548477Z",
"schema_version": "1.4.0"
}
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"product": {
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"version": {
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"version_value": "v8.0 SU2.4"
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},
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}
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"credits": [
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"value": "Aleksandar Mar\u010deta-Pavlovi\u0107"
}
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}
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"impact": {
"cvss": [
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"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",
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}
]
}
]
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"name": "https://www.gov.il/en/Departments/faq/cve_advisories",
"refsource": "MISC",
"url": "https://www.gov.il/en/Departments/faq/cve_advisories"
}
]
},
"solution": [
{
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"supportingMedia": [
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"type": "text/html",
"value": "\n\n\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003eUpgrade to v8.0 SU2.4\u003c/span\u003e\n\n\u003cbr\u003e"
}
],
"value": "\nUpgrade to v8.0 SU2.4\n\n\n"
}
],
"source": {
"advisory": "ILVN-2023-0096",
"discovery": "UNKNOWN"
}
},
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"nodes": [
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"vulnerable": true
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{
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"tags": [
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}
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}
},
"impact": {
"baseMetricV3": {
"cvssV3": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
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"impactScore": 3.6
}
},
"lastModifiedDate": "2023-05-15T17:20Z",
"publishedDate": "2023-05-08T21:15Z"
}
}
}
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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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