VAR-202301-1714
Vulnerability from variot - Updated: 2023-12-18 11:44A buffer overflow issue was addressed with improved memory handling. This issue is fixed in macOS Big Sur 11.7.3, macOS Ventura 13.2, macOS Monterey 12.6.3. Mounting a maliciously crafted Samba network share may lead to arbitrary code execution. apple's macOS Exists in a classic buffer overflow vulnerability.Information is obtained, information is tampered with, and service operation is interrupted. (DoS) It may be in a state. Information about the security content is also available at https://support.apple.com/HT213603.
AppleMobileFileIntegrity Available for: macOS Big Sur Impact: An app may be able to access user-sensitive data Description: This issue was addressed by enabling hardened runtime. CVE-2023-23499: Wojciech Reguła (@_r3ggi) of SecuRing (wojciechregula.blog)
curl Available for: macOS Big Sur Impact: Multiple issues in curl Description: Multiple issues were addressed by updating to curl version 7.85.0. CVE-2023-23513: Dimitrios Tatsis and Aleksandar Nikolic of Cisco Talos
PackageKit Available for: macOS Big Sur Impact: An app may be able to gain root privileges Description: A logic issue was addressed with improved state management. CVE-2023-23497: Mickey Jin (@patch1t)
Screen Time Available for: macOS Big Sur Impact: An app may be able to access information about a user’s contacts Description: A privacy issue was addressed with improved private data redaction for log entries. CVE-2023-23505: Wojciech Reguła of SecuRing (wojciechregula.blog)
WebKit Available for: macOS Big Sur Impact: Processing maliciously crafted web content may lead to arbitrary code execution Description: The issue was addressed with improved memory handling. WebKit Bugzilla: 248268 CVE-2023-23518: YeongHyeon Choi (@hyeon101010), Hyeon Park (@tree_segment), SeOk JEON (@_seokjeon), YoungSung Ahn (@_ZeroSung), JunSeo Bae (@snakebjs0107), Dohyun Lee (@l33d0hyun) of Team ApplePIE WebKit Bugzilla: 248268 CVE-2023-23517: YeongHyeon Choi (@hyeon101010), Hyeon Park (@tree_segment), SeOk JEON (@_seokjeon), YoungSung Ahn (@_ZeroSung), JunSeo Bae (@snakebjs0107), Dohyun Lee (@l33d0hyun) of Team ApplePIE
Windows Installer Available for: macOS Big Sur Impact: An app may be able to bypass Privacy preferences Description: The issue was addressed with improved memory handling. CVE-2023-23508: Mickey Jin (@patch1t)
macOS Big Sur 11.7.3 may be obtained from the Mac App Store or Apple's Software Downloads web site: https://support.apple.com/downloads/ All information is also posted on the Apple Security Updates web site: https://support.apple.com/en-us/HT201222.
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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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