GSD-2016-4570
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
The mxmlDelete function in mxml-node.c in mxml 2.9, 2.7, and possibly earlier allows remote attackers to cause a denial of service (stack consumption) via crafted xml file.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2016-4570",
"description": "The mxmlDelete function in mxml-node.c in mxml 2.9, 2.7, and possibly earlier allows remote attackers to cause a denial of service (stack consumption) via crafted xml file.",
"id": "GSD-2016-4570",
"references": [
"https://www.suse.com/security/cve/CVE-2016-4570.html",
"https://advisories.mageia.org/CVE-2016-4570.html"
]
},
"gsd": {
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"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"id": "GSD-2016-4570",
"modified": "2023-12-13T01:21:18.511219Z",
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"baseScore": 7.1,
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"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:C",
"version": "2.0"
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"exploitabilityScore": 8.6,
"impactScore": 6.9,
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"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"version": "3.1"
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"exploitabilityScore": 1.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2021-06-16T16:28Z",
"publishedDate": "2017-02-03T15:59Z"
}
}
}
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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 |
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Nomenclature
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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.
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- 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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