GSD-2020-10696
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
A path traversal flaw was found in Buildah in versions before 1.14.5. This flaw allows an attacker to trick a user into building a malicious container image hosted on an HTTP(s) server and then write files to the user's system anywhere that the user has permissions.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-10696",
"description": "A path traversal flaw was found in Buildah in versions before 1.14.5. This flaw allows an attacker to trick a user into building a malicious container image hosted on an HTTP(s) server and then write files to the user\u0027s system anywhere that the user has permissions.",
"id": "GSD-2020-10696",
"references": [
"https://www.suse.com/security/cve/CVE-2020-10696.html",
"https://access.redhat.com/errata/RHSA-2020:2117",
"https://access.redhat.com/errata/RHSA-2020:2116",
"https://access.redhat.com/errata/RHSA-2020:1932",
"https://access.redhat.com/errata/RHSA-2020:1931",
"https://access.redhat.com/errata/RHSA-2020:1926",
"https://access.redhat.com/errata/RHSA-2020:1449",
"https://access.redhat.com/errata/RHSA-2020:1401",
"https://access.redhat.com/errata/RHSA-2020:1396",
"https://linux.oracle.com/cve/CVE-2020-10696.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"modified": "2023-12-13T01:22:04.102401Z",
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"gitlab.com": {
"advisories": [
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"CWE-352",
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"date": "2021-05-18",
"description": "A path traversal flaw was found in Buildah in versions before 1.14.5. This flaw allows an attacker to trick a user into building a malicious container image hosted on an HTTP(s) server and then write files to the user\u0027s system anywhere that the user has permissions.",
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"package_slug": "go/github.com/containers/buildah/imagebuildah",
"pubdate": "2021-05-18",
"solution": "Upgrade to version 1.14.4 or above.",
"title": "Improper Limitation of a Pathname to a Restricted Directory (\u0027Path Traversal\u0027)",
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"impact": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 9.3,
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"vectorString": "AV:N/AC:M/Au:N/C:C/I:C/A:C",
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"severity": "HIGH",
"userInteractionRequired": true
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"lastModifiedDate": "2020-04-01T13:18Z",
"publishedDate": "2020-03-31T22:15Z"
}
}
}
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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.
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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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