GSD-2016-8703
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
Heap-based buffer overflow in the bm_readbody_bmp function in bitmap_io.c in potrace before 1.13 allows remote attackers to have unspecified impact via a crafted BMP image, a different vulnerability than CVE-2016-8698, CVE-2016-8699, CVE-2016-8700, CVE-2016-8701, and CVE-2016-8702.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2016-8703",
"description": "Heap-based buffer overflow in the bm_readbody_bmp function in bitmap_io.c in potrace before 1.13 allows remote attackers to have unspecified impact via a crafted BMP image, a different vulnerability than CVE-2016-8698, CVE-2016-8699, CVE-2016-8700, CVE-2016-8701, and CVE-2016-8702.",
"id": "GSD-2016-8703",
"references": [
"https://www.suse.com/security/cve/CVE-2016-8703.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2016-8703"
],
"details": "Heap-based buffer overflow in the bm_readbody_bmp function in bitmap_io.c in potrace before 1.13 allows remote attackers to have unspecified impact via a crafted BMP image, a different vulnerability than CVE-2016-8698, CVE-2016-8699, CVE-2016-8700, CVE-2016-8701, and CVE-2016-8702.",
"id": "GSD-2016-8703",
"modified": "2023-12-13T01:21:22.135544Z",
"schema_version": "1.4.0"
}
},
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"value": "Heap-based buffer overflow in the bm_readbody_bmp function in bitmap_io.c in potrace before 1.13 allows remote attackers to have unspecified impact via a crafted BMP image, a different vulnerability than CVE-2016-8698, CVE-2016-8699, CVE-2016-8700, CVE-2016-8701, and CVE-2016-8702."
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"name": "93778",
"refsource": "BID",
"url": "http://www.securityfocus.com/bid/93778"
},
{
"name": "[oss-security] 20161015 Re: potrace: multiple crashes",
"refsource": "MLIST",
"url": "http://www.openwall.com/lists/oss-security/2016/10/16/12"
},
{
"name": "https://blogs.gentoo.org/ago/2016/08/08/potrace-multiplesix-heap-based-buffer-overflow-in-bm_readbody_bmp-bitmap_io-c/",
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"url": "https://blogs.gentoo.org/ago/2016/08/08/potrace-multiplesix-heap-based-buffer-overflow-in-bm_readbody_bmp-bitmap_io-c/"
},
{
"name": "[oss-security] 20160818 potrace: multiple crashes",
"refsource": "MLIST",
"url": "http://www.openwall.com/lists/oss-security/2016/08/18/11"
},
{
"name": "http://potrace.sourceforge.net/ChangeLog",
"refsource": "CONFIRM",
"url": "http://potrace.sourceforge.net/ChangeLog"
}
]
}
},
"nvd.nist.gov": {
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"nodes": [
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{
"cpe23Uri": "cpe:2.3:a:potrace_project:potrace:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndIncluding": "1.12",
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"description": {
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"value": "Heap-based buffer overflow in the bm_readbody_bmp function in bitmap_io.c in potrace before 1.13 allows remote attackers to have unspecified impact via a crafted BMP image, a different vulnerability than CVE-2016-8698, CVE-2016-8699, CVE-2016-8700, CVE-2016-8701, and CVE-2016-8702."
}
]
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{
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{
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.0"
},
"exploitabilityScore": 1.8,
"impactScore": 5.9
}
},
"lastModifiedDate": "2017-02-05T20:16Z",
"publishedDate": "2017-01-31T22:59Z"
}
}
}
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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
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Nomenclature
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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
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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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