GSD-2017-17879
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
In ImageMagick 7.0.7-16 Q16 x86_64 2017-12-21, there is a heap-based buffer over-read in ReadOneMNGImage in coders/png.c, related to length calculation and caused by an off-by-one error.
Aliases
Aliases
{
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"alias": "CVE-2017-17879",
"description": "In ImageMagick 7.0.7-16 Q16 x86_64 2017-12-21, there is a heap-based buffer over-read in ReadOneMNGImage in coders/png.c, related to length calculation and caused by an off-by-one error.",
"id": "GSD-2017-17879",
"references": [
"https://www.suse.com/security/cve/CVE-2017-17879.html",
"https://www.debian.org/security/2018/dsa-4204",
"https://www.debian.org/security/2017/dsa-4074",
"https://ubuntu.com/security/CVE-2017-17879",
"https://advisories.mageia.org/CVE-2017-17879.html"
]
},
"gsd": {
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"remediation": "unknown",
"reportConfidence": "confirmed",
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},
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],
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"lastModifiedDate": "2019-10-03T00:03Z",
"publishedDate": "2017-12-27T17:08Z"
}
}
}
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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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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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