GSD-2017-13777
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
GraphicsMagick 1.3.26 has a denial of service issue in ReadXBMImage() in a coders/xbm.c "Read hex image data" version==10 case that results in the reader not returning; it would cause large amounts of CPU and memory consumption although the crafted file itself does not request it.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2017-13777",
"description": "GraphicsMagick 1.3.26 has a denial of service issue in ReadXBMImage() in a coders/xbm.c \"Read hex image data\" version==10 case that results in the reader not returning; it would cause large amounts of CPU and memory consumption although the crafted file itself does not request it.",
"id": "GSD-2017-13777",
"references": [
"https://www.suse.com/security/cve/CVE-2017-13777.html",
"https://www.debian.org/security/2018/dsa-4321",
"https://ubuntu.com/security/CVE-2017-13777",
"https://security.archlinux.org/CVE-2017-13777"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2017-13777"
],
"details": "GraphicsMagick 1.3.26 has a denial of service issue in ReadXBMImage() in a coders/xbm.c \"Read hex image data\" version==10 case that results in the reader not returning; it would cause large amounts of CPU and memory consumption although the crafted file itself does not request it.",
"id": "GSD-2017-13777",
"modified": "2023-12-13T01:21:01.829970Z",
"schema_version": "1.4.0"
}
},
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"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 7.1,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:C",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": true
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"version": "3.0"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2019-12-16T20:15Z",
"publishedDate": "2017-08-30T09:29Z"
}
}
}
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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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- Confirmed: The vulnerability has been validated from an analyst's perspective.
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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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