GSD-2013-4179
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
The security group extension in OpenStack Compute (Nova) Grizzly 2013.1.3, Havana before havana-3, and earlier allows remote attackers to cause a denial of service (resource consumption and crash) via an XML Entity Expansion (XEE) attack. NOTE: this issue is due to an incomplete fix for CVE-2013-1664.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2013-4179",
"description": "The security group extension in OpenStack Compute (Nova) Grizzly 2013.1.3, Havana before havana-3, and earlier allows remote attackers to cause a denial of service (resource consumption and crash) via an XML Entity Expansion (XEE) attack. NOTE: this issue is due to an incomplete fix for CVE-2013-1664.",
"id": "GSD-2013-4179",
"references": [
"https://www.suse.com/security/cve/CVE-2013-4179.html",
"https://access.redhat.com/errata/RHSA-2013:1199"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
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"id": "GSD-2013-4179",
"modified": "2023-12-13T01:22:16.173079Z",
"schema_version": "1.4.0"
}
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"gitlab.com": {
"advisories": [
{
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"affected_versions": "All versions up to 2013.1.3",
"cvss_v2": "AV:N/AC:M/Au:N/C:N/I:N/A:P",
"cwe_ids": [
"CWE-1035",
"CWE-119",
"CWE-937"
],
"date": "2023-02-08",
"description": "CVE-2013-4179 OpenStack: Nova XML entities DoS",
"fixed_versions": [
"2013.2"
],
"identifier": "CVE-2013-4179",
"identifiers": [
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],
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"package_slug": "pypi/nova",
"pubdate": "2022-05-17",
"solution": "Upgrade to version 2013.2 or above.",
"title": "Improper Restriction of Operations within the Bounds of a Memory Buffer",
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"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2023-02-13T04:45Z",
"publishedDate": "2013-09-16T19:14Z"
}
}
}
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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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