FKIE_CVE-2016-10050
Vulnerability from fkie_nvd - Published: 2017-03-23 17:59 - Updated: 2026-06-17 00:38
Severity
Summary
Heap-based buffer overflow in the ReadRLEImage function in coders/rle.c in ImageMagick 6.9.4-8 allows remote attackers to cause a denial of service (application crash) or have other unspecified impact via a crafted RLE file.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| imagemagick | imagemagick | 6.9.4-8 | |
| opensuse | leap | 42.1 | |
| opensuse | leap | 42.2 |
{
"affected": [
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"affectedData": [
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"product": "n/a",
"vendor": "n/a",
"versions": [
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"status": "affected",
"version": "n/a"
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"source": "cve@mitre.org"
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"configurations": [
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"cveTags": [],
"descriptions": [
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"value": "Heap-based buffer overflow in the ReadRLEImage function in coders/rle.c in ImageMagick 6.9.4-8 allows remote attackers to cause a denial of service (application crash) or have other unspecified impact via a crafted RLE file."
},
{
"lang": "es",
"value": "Desbordamiento de b\u00fafer basado en memoria din\u00e1mica en la funci\u00f3n ReadRLEImage en coders/rle.c en ImageMagick 6.9.4-8 permite a atacantes remotos provocar una denegaci\u00f3n de servicio (ca\u00edda de la aplicaci\u00f3n) u otro impacto no especificado a trav\u00e9s de un archivo RLE manipulado."
}
],
"id": "CVE-2016-10050",
"lastModified": "2026-06-17T00:38:57.690",
"metrics": {
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"baseSeverity": "MEDIUM",
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"accessVector": "NETWORK",
"authentication": "NONE",
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"baseScore": 6.8,
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"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
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"baseScore": 7.8,
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"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
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"published": "2017-03-23T17:59:00.437",
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
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"description": [
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"lang": "en",
"value": "CWE-119"
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],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- 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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