CVE-2022-34266 (GCVE-0-2022-34266)
Vulnerability from cvelistv5 – Published: 2022-07-19 19:34 – Updated: 2024-08-03 09:07
VLAI
EPSS
VEX
Summary
The libtiff-4.0.3-35.amzn2.0.1 package for LibTIFF on Amazon Linux 2 allows attackers to cause a denial of service (application crash), a different vulnerability than CVE-2022-0562. When processing a malicious TIFF file, an invalid range may be passed as an argument to the memset() function within TIFFFetchStripThing() in tif_dirread.c. This will cause TIFFFetchStripThing() to segfault after use of an uninitialized resource.
Severity
5.5 (Medium)
CWE
- n/a
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://alas.aws.amazon.com/AL2/ALAS-2022-1814.html | x_refsource_MISC |
| https://bugs.gentoo.org/859433 | x_refsource_MISC |
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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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