GSD-2018-17101
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
An issue was discovered in LibTIFF 4.0.9. There are two out-of-bounds writes in cpTags in tools/tiff2bw.c and tools/pal2rgb.c, which can cause a denial of service (application crash) or possibly have unspecified other impact via a crafted image file.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-17101",
"description": "An issue was discovered in LibTIFF 4.0.9. There are two out-of-bounds writes in cpTags in tools/tiff2bw.c and tools/pal2rgb.c, which can cause a denial of service (application crash) or possibly have unspecified other impact via a crafted image file.",
"id": "GSD-2018-17101",
"references": [
"https://www.suse.com/security/cve/CVE-2018-17101.html",
"https://www.debian.org/security/2018/dsa-4349",
"https://access.redhat.com/errata/RHSA-2019:2053",
"https://ubuntu.com/security/CVE-2018-17101",
"https://advisories.mageia.org/CVE-2018-17101.html",
"https://alas.aws.amazon.com/cve/html/CVE-2018-17101.html",
"https://linux.oracle.com/cve/CVE-2018-17101.html"
]
},
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"remediation": "unknown",
"reportConfidence": "confirmed",
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"modified": "2023-12-13T01:22:31.018796Z",
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"lastModifiedDate": "2019-03-21T16:00Z",
"publishedDate": "2018-09-16T21:29Z"
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}
}
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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.
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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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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.
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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.
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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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