CVE-2023-3430 (GCVE-0-2023-3430)
Vulnerability from cvelistv5 – Published: 2023-12-18 13:40 – Updated: 2024-08-02 06:55
VLAI
EPSS
VEX
Title
Openimageio: heap-buffer-overflow in file src/gif.imageio/gifinput.cpp
Summary
A vulnerability was found in OpenImageIO, where a heap buffer overflow exists in the src/gif.imageio/gifinput.cpp file. This flaw allows a remote attacker to pass a specially crafted file to the application, which triggers a heap-based buffer overflow and could cause a crash, leading to a denial of service.
Severity
7.5 (High)
CWE
- CWE-122 - Heap-based Buffer Overflow
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://bugzilla.redhat.com/show_bug.cgi?id=2218380 | issue-trackingx_refsource_REDHAT |
Impacted products
3 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| n/a | OpenImageIO |
Unaffected:
2.4.12.0
|
||
| Fedora | Extra Packages for Enterprise Linux | guessed | ||
| Fedora | Fedora | guessed |
Date Public
2023-05-15 00:00
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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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