VAR-202010-0209
Vulnerability from variot - Updated: 2024-11-23 21:31An out-of-bounds read was addressed with improved bounds checking. This issue is fixed in iCloud for Windows 7.12, tvOS 12.3, iTunes 12.9.5 for Windows, macOS Mojave 10.14.5, Security Update 2019-003 High Sierra, Security Update 2019-003 Sierra, iOS 12.3. Processing a maliciously crafted font may result in the disclosure of process memory. plural Apple The product has an out-of-bounds read vulnerability due to a flawed boundary check.Processing maliciously created fonts can expose process memory. Apple Has released an update for each product.The expected impact depends on each vulnerability, but can be affected as follows: * Privilege escalation * Arbitrary code execution * information leak * Service operation interruption (DoS). Apple macOS is a set of dedicated operating systems developed by Apple Corporation for Mac computers. The CTFramesetterCreateWithAttributedString method in Apple macOS has a buffer error vulnerability, which is caused by the program's lack of validation of user-supplied data. Attackers can use malicious files or pages to exploit this vulnerability to disclose sensitive information
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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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