VAR-202104-0613
Vulnerability from variot - Updated: 2023-12-18 11:25An out-of-bounds read was addressed with improved input validation. This issue is fixed in macOS Big Sur 11.2, Security Update 2021-001 Catalina, Security Update 2021-001 Mojave. Processing a maliciously crafted font may lead to arbitrary code execution. Apple macOS is a set of dedicated operating systems developed by Apple Corporation for Mac computers. There is a security vulnerability in Apple macOS. The vulnerability originates from the boundary condition when handling font files in the FontParser component in macOS. A remote attacker could create a specially crafted file or web page that tricks a victim into opening the file, triggering an out-of-bounds read error and reading the contents of memory on the system. Vulnerabilities exist in the following products or versions: macOS 10.15, macOS 10.15 SU1, macOS 10.15.1, macOS 10.15.2, macOS 10.15.3, macOS 10.15.4, macOS 10.15.4 SU1, macOS 10.15.5, macOS 11.55.5 SU1 , macOS 15.65.6, macOS 10.15.6 SU1, macOS 10.15.7, 10.15.7 SU1, macOS 11.0, macOS 11.0.1, macOS 11.1
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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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