FKIE_CVE-2016-10165
Vulnerability from fkie_nvd - Published: 2017-02-03 19:59 - Updated: 2026-06-17 00:39
Severity
Summary
The Type_MLU_Read function in cmstypes.c in Little CMS (aka lcms2) allows remote attackers to obtain sensitive information or cause a denial of service via an image with a crafted ICC profile, which triggers an out-of-bounds heap read.
References
Impacted products
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"value": "The Type_MLU_Read function in cmstypes.c in Little CMS (aka lcms2) allows remote attackers to obtain sensitive information or cause a denial of service via an image with a crafted ICC profile, which triggers an out-of-bounds heap read."
},
{
"lang": "es",
"value": "La funci\u00f3n Type_MLU_Read en cmstypes.c en Little CMS (tambi\u00e9n conocido como lcms2) permite a atacantes remotos obtener informaci\u00f3n sensible o provocar una denegaci\u00f3n de servicio a trav\u00e9s de una imagen con un perfil ICC manipulado, lo que desencadena una lectura de memoria din\u00e1mica fuera de l\u00edmites."
}
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"lastModified": "2026-06-17T00:39:11.477",
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],
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"tags": [
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],
"url": "http://www.oracle.com/technetwork/security-advisory/cpuoct2017-3236626.html"
},
{
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"tags": [
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],
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},
{
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],
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},
{
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{
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},
{
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},
{
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{
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{
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],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-125"
}
],
"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
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- 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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