GSD-2018-12477
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
A Improper Neutralization of CRLF Sequences vulnerability in Open Build Service allows remote attackers to cause deletion of directories by tricking obs-service-refresh_patches to delete them. Affected releases are openSUSE Open Build Service: versions prior to d6244245dda5367767efc989446fe4b5e4609cce.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-12477",
"description": "A Improper Neutralization of CRLF Sequences vulnerability in Open Build Service allows remote attackers to cause deletion of directories by tricking obs-service-refresh_patches to delete them. Affected releases are openSUSE Open Build Service: versions prior to d6244245dda5367767efc989446fe4b5e4609cce.",
"id": "GSD-2018-12477",
"references": [
"https://www.suse.com/security/cve/CVE-2018-12477.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2018-12477"
],
"details": "A Improper Neutralization of CRLF Sequences vulnerability in Open Build Service allows remote attackers to cause deletion of directories by tricking obs-service-refresh_patches to delete them. Affected releases are openSUSE Open Build Service: versions prior to d6244245dda5367767efc989446fe4b5e4609cce.",
"id": "GSD-2018-12477",
"modified": "2023-12-13T01:22:29.818228Z",
"schema_version": "1.4.0"
}
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"DATE_PUBLIC": "2018-09-26T00:00:00.000Z",
"ID": "CVE-2018-12477",
"STATE": "PUBLIC",
"TITLE": "obs-service-refresh_patches can be tricked into deleting \u0027..\u0027 or other unrelated directories"
},
"affects": {
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{
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"credit": [
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"lang": "eng",
"value": "Matthias Gerstner of SUSE"
}
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}
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 3.5,
"baseSeverity": "LOW",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:U/C:N/I:L/A:N",
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"impact": {
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"acInsufInfo": false,
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"accessVector": "NETWORK",
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"scope": "UNCHANGED",
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"exploitabilityScore": 3.9,
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},
"lastModifiedDate": "2019-10-09T23:34Z",
"publishedDate": "2018-10-09T13:29Z"
}
}
}
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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.
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- 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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