GSD-2017-11613
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
In LibTIFF 4.0.8, there is a denial of service vulnerability in the TIFFOpen function. A crafted input will lead to a denial of service attack. During the TIFFOpen process, td_imagelength is not checked. The value of td_imagelength can be directly controlled by an input file. In the ChopUpSingleUncompressedStrip function, the _TIFFCheckMalloc function is called based on td_imagelength. If we set the value of td_imagelength close to the amount of system memory, it will hang the system or trigger the OOM killer.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2017-11613",
"description": "In LibTIFF 4.0.8, there is a denial of service vulnerability in the TIFFOpen function. A crafted input will lead to a denial of service attack. During the TIFFOpen process, td_imagelength is not checked. The value of td_imagelength can be directly controlled by an input file. In the ChopUpSingleUncompressedStrip function, the _TIFFCheckMalloc function is called based on td_imagelength. If we set the value of td_imagelength close to the amount of system memory, it will hang the system or trigger the OOM killer.",
"id": "GSD-2017-11613",
"references": [
"https://www.suse.com/security/cve/CVE-2017-11613.html",
"https://www.debian.org/security/2018/dsa-4349",
"https://ubuntu.com/security/CVE-2017-11613",
"https://advisories.mageia.org/CVE-2017-11613.html",
"https://security.archlinux.org/CVE-2017-11613"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "In LibTIFF 4.0.8, there is a denial of service vulnerability in the TIFFOpen function. A crafted input will lead to a denial of service attack. During the TIFFOpen process, td_imagelength is not checked. The value of td_imagelength can be directly controlled by an input file. In the ChopUpSingleUncompressedStrip function, the _TIFFCheckMalloc function is called based on td_imagelength. If we set the value of td_imagelength close to the amount of system memory, it will hang the system or trigger the OOM killer.",
"id": "GSD-2017-11613",
"modified": "2023-12-13T01:21:15.867800Z",
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"vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:P",
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"confidentialityImpact": "NONE",
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"scope": "UNCHANGED",
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"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
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"lastModifiedDate": "2018-12-01T11:29Z",
"publishedDate": "2017-07-26T08:29Z"
}
}
}
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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.
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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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