FKIE_CVE-2016-3632
Vulnerability from fkie_nvd - Published: 2016-09-21 18:59 - Updated: 2026-06-17 00:46
Severity
Summary
The _TIFFVGetField function in tif_dirinfo.c in LibTIFF 4.0.6 and earlier allows remote attackers to cause a denial of service (out-of-bounds write) or execute arbitrary code via a crafted TIFF image.
References
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"value": "The _TIFFVGetField function in tif_dirinfo.c in LibTIFF 4.0.6 and earlier allows remote attackers to cause a denial of service (out-of-bounds write) or execute arbitrary code via a crafted TIFF image."
},
{
"lang": "es",
"value": "La funci\u00f3n _TIFFVGetField en tif_dirinfo.c en LibTIFF 4.0.6 y versiones anteriores permite a atacantes remotos provocar una denegaci\u00f3n de servicio (escritura fuera de l\u00edmites) o ejecutar c\u00f3digo arbitrario a trav\u00e9s de una imagen TIFF manipulada."
}
],
"id": "CVE-2016-3632",
"lastModified": "2026-06-17T00:46:06.850",
"metrics": {
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"published": "2016-09-21T18:59:00.160",
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"vulnStatus": "Modified",
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"type": "Primary"
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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
- 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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