FKIE_CVE-2014-8129
Vulnerability from fkie_nvd - Published: 2018-03-12 02:29 - Updated: 2026-06-17 00:16
Severity
Summary
LibTIFF 4.0.3 allows remote attackers to cause a denial of service (out-of-bounds write) or possibly have unspecified other impact via a crafted TIFF image, as demonstrated by failure of tif_next.c to verify that the BitsPerSample value is 2, and the t2p_sample_lab_signed_to_unsigned function in tiff2pdf.c.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| libtiff | libtiff | 4.0.3 | |
| debian | debian_linux | 7.0 | |
| redhat | enterprise_linux_server | 6.0 | |
| redhat | enterprise_linux_server | 7.0 | |
| redhat | enterprise_linux_server_aus | 7.2 | |
| redhat | enterprise_linux_server_aus | 7.3 | |
| redhat | enterprise_linux_server_aus | 7.4 | |
| redhat | enterprise_linux_server_eus | 7.2 | |
| redhat | enterprise_linux_server_eus | 7.3 | |
| redhat | enterprise_linux_server_eus | 7.4 | |
| redhat | enterprise_linux_server_tus | 7.2 | |
| redhat | enterprise_linux_server_tus | 7.3 | |
| apple | mac_os_x | 10.8.5 | |
| apple | mac_os_x | 10.9.5 | |
| apple | mac_os_x | 10.10.0 | |
| apple | mac_os_x | 10.10.1 | |
| apple | mac_os_x | 10.10.2 | |
| apple | mac_os_x | 10.10.3 | |
| apple | iphone_os | - | |
| apple | iphone_os | - | |
| apple | iphone_os | - |
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"lang": "en",
"value": "LibTIFF 4.0.3 allows remote attackers to cause a denial of service (out-of-bounds write) or possibly have unspecified other impact via a crafted TIFF image, as demonstrated by failure of tif_next.c to verify that the BitsPerSample value is 2, and the t2p_sample_lab_signed_to_unsigned function in tiff2pdf.c."
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"value": "LibTIFF 4.0.3 permite que atacantes remotos provoquen una denegaci\u00f3n de servicio (escritura fuera de l\u00edmites) u otro tipo de impacto sin especificar mediante una imagen TIFF manipulada. Esto se demuestra por el fracaso de tif_next.c a la hora de verificar que el valor de BitsPerSample es 2 y la funci\u00f3n t2p_sample_lab_signed_to_unsigned en tiff2pdf.c."
}
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"id": "CVE-2014-8129",
"lastModified": "2026-06-17T00:16:20.177",
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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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