GSD-2021-26725
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
Path Traversal vulnerability when changing timezone using web GUI of Nozomi Networks Guardian, CMC allows an authenticated administrator to read-protected system files. This issue affects: Nozomi Networks Guardian 20.0.7.3 version 20.0.7.3 and prior versions. Nozomi Networks CMC 20.0.7.3 version 20.0.7.3 and prior versions.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-26725",
"description": "Path Traversal vulnerability when changing timezone using web GUI of Nozomi Networks Guardian, CMC allows an authenticated administrator to read-protected system files. This issue affects: Nozomi Networks Guardian 20.0.7.3 version 20.0.7.3 and prior versions. Nozomi Networks CMC 20.0.7.3 version 20.0.7.3 and prior versions.",
"id": "GSD-2021-26725"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "Path Traversal vulnerability when changing timezone using web GUI of Nozomi Networks Guardian, CMC allows an authenticated administrator to read-protected system files. This issue affects: Nozomi Networks Guardian 20.0.7.3 version 20.0.7.3 and prior versions. Nozomi Networks CMC 20.0.7.3 version 20.0.7.3 and prior versions.",
"id": "GSD-2021-26725",
"modified": "2023-12-13T01:23:33.369944Z",
"schema_version": "1.4.0"
}
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"DATE_PUBLIC": "2021-02-22T00:00:00.000Z",
"ID": "CVE-2021-26725",
"STATE": "PUBLIC",
"TITLE": "Authenticated command path traversal on timezone settings in Guardian/CMC before 20.0.7.4"
},
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"value": "This bug was found by Erik de Jong"
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}
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"impact": {
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"baseScore": 7.2,
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H",
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"value": "CWE-24 Path Traversal: \u0027../filedir\u0027"
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"solution": [
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"value": "v19 series: Upgrade to v19.0.12. \nv20 series: Upgrade to v20.0.7.4.\n"
}
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"discovery": "EXTERNAL"
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"value": "Use internal firewall feature to limit management interface access and review user roles.\n"
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},
"lastModifiedDate": "2021-02-26T16:53Z",
"publishedDate": "2021-02-22T21:15Z"
}
}
}
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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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