GSD-2022-2058
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Divide By Zero error in tiffcrop in libtiff 4.4.0 allows attackers to cause a denial-of-service via a crafted tiff file. For users that compile libtiff from sources, the fix is available with commit f3a5e010.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-2058",
"description": "Divide By Zero error in tiffcrop in libtiff 4.4.0 allows attackers to cause a denial-of-service via a crafted tiff file. For users that compile libtiff from sources, the fix is available with commit f3a5e010.",
"id": "GSD-2022-2058",
"references": [
"https://www.suse.com/security/cve/CVE-2022-2058.html",
"https://advisories.mageia.org/CVE-2022-2058.html",
"https://access.redhat.com/errata/RHSA-2023:0095",
"https://ubuntu.com/security/CVE-2022-2058",
"https://www.debian.org/security/2023/dsa-5333",
"https://access.redhat.com/errata/RHSA-2023:0302"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
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],
"details": "Divide By Zero error in tiffcrop in libtiff 4.4.0 allows attackers to cause a denial-of-service via a crafted tiff file. For users that compile libtiff from sources, the fix is available with commit f3a5e010.",
"id": "GSD-2022-2058",
"modified": "2023-12-13T01:19:19.767080Z",
"schema_version": "1.4.0"
}
},
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}
]
},
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"availabilityImpact": "HIGH",
"baseScore": 5.4,
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},
{
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},
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"cwe_ids": [
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"CWE-369",
"CWE-937"
],
"date": "2023-02-23",
"description": "Divide By Zero error in tiffcrop in libtiff 4.4.0 allows attackers to cause a denial-of-service via a crafted tiff file. For users that compile libtiff from sources, the fix is available with commit f3a5e010.",
"fixed_versions": [],
"identifier": "CVE-2022-2058",
"identifiers": [
"CVE-2022-2058"
],
"not_impacted": "",
"package_slug": "conan/libtiff",
"pubdate": "2022-06-30",
"solution": "Unfortunately, there is no solution available yet.",
"title": "Divide By Zero",
"urls": [
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"https://gitlab.com/gitlab-org/cves/-/blob/master/2022/CVE-2022-2058.json",
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"uuid": "9041628a-036f-41b8-b035-b0c98708dd83"
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}
},
"lastModifiedDate": "2023-02-23T15:56Z",
"publishedDate": "2022-06-30T16:15Z"
}
}
}
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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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