FKIE_CVE-2015-1547
Vulnerability from fkie_nvd - Published: 2016-04-13 17:59 - Updated: 2026-06-17 00:22
Severity
Summary
The NeXTDecode function in tif_next.c in LibTIFF allows remote attackers to cause a denial of service (uninitialized memory access) via a crafted TIFF image, as demonstrated by libtiff5.tif.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| debian | debian_linux | 7.0 | |
| debian | debian_linux | 8.0 | |
| libtiff | libtiff | * |
{
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"source": "cve@mitre.org"
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"configurations": [
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"descriptions": [
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"value": "The NeXTDecode function in tif_next.c in LibTIFF allows remote attackers to cause a denial of service (uninitialized memory access) 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 (acceso a memoria no inicializada) a trav\u00e9s de una imagen TIFF manipulada, seg\u00fan lo demostrado por libtiff5.tif."
}
],
"id": "CVE-2015-1547",
"lastModified": "2026-06-17T00:22:35.223",
"metrics": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:P",
"version": "2.0"
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"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
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"published": "2016-04-13T17:59:01.800",
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"url": "http://rhn.redhat.com/errata/RHSA-2016-1546.html"
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{
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"tags": [
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"url": "http://www.debian.org/security/2016/dsa-3467"
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"url": "http://www.oracle.com/technetwork/topics/security/bulletinapr2016-2952098.html"
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"url": "http://www.oracle.com/technetwork/topics/security/linuxbulletinjul2016-3090544.html"
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"url": "http://www.oracle.com/technetwork/topics/security/ovmbulletinjul2016-3090546.html"
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"url": "http://www.securityfocus.com/bid/73438"
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"url": "http://www.oracle.com/technetwork/topics/security/ovmbulletinjul2016-3090546.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.securityfocus.com/bid/73438"
},
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"url": "https://security.gentoo.org/glsa/201701-16"
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],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
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"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
- 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.
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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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