CVE-2026-52918 Linux CVE debrief

Who should care

Linux kernel developers and users, Bluetooth-enabled device administrators, and security teams responsible for patching and vulnerability management should be aware of this vulnerability. The vulnerability's HIGH severity score of 8.8 indicates a significant risk to affected systems. Linux distributions and vendors should prioritize patching and updating their kernels to prevent exploitation.

Technical summary

The Linux kernel's Bluetooth component has a vulnerability that allows for unsynchronized access to the accept queue. The bt_sock_poll() function walks the accept queue without synchronization, while child teardown can unlink the same socket and drop its last reference. This can lead to a use-after-free condition. The vulnerability has been resolved by adding a dedicated lock for queue updates and polling, and reworking bt_accept_dequeue() to take temporary child references under the queue lock. The Common Vulnerability Scoring System (CVSS) score for this vulnerability is 8.8, indicating a HIGH severity level.

Defensive priority

This vulnerability has a HIGH severity score and should be prioritized for patching and mitigation. Linux kernel users should update to the latest version as soon as possible to prevent exploitation.

Recommended defensive actions

• Update Linux kernel to the latest version
• Review and patch Linux kernel installations
• Monitor Bluetooth-enabled devices for suspicious activity
• Implement compensating controls, such as firewall rules, to limit exposure
• Track Linux kernel updates and security advisories for future vulnerabilities

Evidence notes

The CVE-2026-52918 vulnerability was published on 2026-06-24T08:16:21.713Z and modified on 2026-06-28T08:16:23.440Z. The vulnerability has a CVSS score of 8.8 and is classified as HIGH severity. The vulnerability affects the Linux kernel's Bluetooth component and can be exploited by an attacker to potentially execute arbitrary code or cause a denial of service.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.