GSD-2022-42896
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
There are use-after-free vulnerabilities in the Linux kernel's net/bluetooth/l2cap_core.c's l2cap_connect and l2cap_le_connect_req functions which may allow code execution and leaking kernel memory (respectively) remotely via Bluetooth. A remote attacker could execute code leaking kernel memory via Bluetooth if within proximity of the victim. We recommend upgrading past commit https://www.google.com/url https://github.com/torvalds/linux/commit/711f8c3fb3db61897080468586b970c87c61d9e4 https://www.google.com/url
Aliases
Aliases
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"description": "There are use-after-free vulnerabilities in the Linux kernel\u0027s net/bluetooth/l2cap_core.c\u0027s l2cap_connect and l2cap_le_connect_req functions which may allow code execution and leaking kernel memory (respectively) remotely via Bluetooth. A remote attacker could execute code leaking kernel memory via Bluetooth if within proximity of the victim. We recommend upgrading past commit https://www.google.com/url https://github.com/torvalds/linux/commit/711f8c3fb3db61897080468586b970c87c61d9e4 https://www.google.com/url",
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"https://www.suse.com/security/cve/CVE-2022-42896.html",
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"https://security.archlinux.org/CVE-2022-42896"
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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.
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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.
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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.