GSD-2023-35852
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
In Suricata before 6.0.13 (when there is an adversary who controls an external source of rules), a dataset filename, that comes from a rule, may trigger absolute or relative directory traversal, and lead to write access to a local filesystem. This is addressed in 6.0.13 by requiring allow-absolute-filenames and allow-write (in the datasets rules configuration section) if an installation requires traversal/writing in this situation.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-35852",
"id": "GSD-2023-35852"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"details": "In Suricata before 6.0.13 (when there is an adversary who controls an external source of rules), a dataset filename, that comes from a rule, may trigger absolute or relative directory traversal, and lead to write access to a local filesystem. This is addressed in 6.0.13 by requiring allow-absolute-filenames and allow-write (in the datasets rules configuration section) if an installation requires traversal/writing in this situation.",
"id": "GSD-2023-35852",
"modified": "2023-12-13T01:20:46.445067Z",
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"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N",
"version": "3.1"
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"exploitabilityScore": 3.9,
"impactScore": 3.6
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},
"lastModifiedDate": "2023-06-28T18:44Z",
"publishedDate": "2023-06-19T04:15Z"
}
}
}
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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 |
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Nomenclature
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- Confirmed: The vulnerability has been validated from an analyst's perspective.
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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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