FKIE_CVE-2015-8784
Vulnerability from fkie_nvd - Published: 2016-04-13 17:59 - Updated: 2026-06-17 00:35
Severity
Summary
The NeXTDecode function in tif_next.c in LibTIFF allows remote attackers to cause a denial of service (out-of-bounds write) via a crafted TIFF image, as demonstrated by libtiff5.tif.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| libtiff | libtiff | * | |
| debian | debian_linux | 7.0 | |
| debian | debian_linux | 8.0 |
{
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"value": "The NeXTDecode function in tif_next.c in LibTIFF allows remote attackers to cause a denial of service (out-of-bounds write) via a crafted TIFF image, as demonstrated by libtiff5.tif."
},
{
"lang": "es",
"value": "La funci\u00f3n NeXTDecode en tif_next.c en LibTIFF permite a atacantes remotos provocar una denegaci\u00f3n de servicio (escritura fuera de rango) a trav\u00e9s de una imagen TIFF manipulada, seg\u00fan lo demostrado por libtiff5.tif."
}
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"lastModified": "2026-06-17T00:35:14.610",
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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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