FKIE_CVE-2016-8682
Vulnerability from fkie_nvd - Published: 2017-02-15 19:59 - Updated: 2026-06-17 00:54
Severity
Summary
The ReadSCTImage function in coders/sct.c in GraphicsMagick 1.3.25 allows remote attackers to cause a denial of service (out-of-bounds read) via a crafted SCT header.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| graphicsmagick | graphicsmagick | 1.3.25 | |
| opensuse | opensuse | 13.2 | |
| debian | debian_linux | 8.0 |
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"value": "La funci\u00f3n ReadSCTImage en coders/sct.c en GraphicsMagick 1.3.25 permite a atacantes remotos provocar una denegaci\u00f3n de servicio (lectura fuera de l\u00edmites) a trav\u00e9s de una cabecera SCT manipulada."
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"id": "CVE-2016-8682",
"lastModified": "2026-06-17T00:54:48.203",
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}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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 |
|---|
Nomenclature
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- Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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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