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CVE-2024-40921
Linux Kernel vulnerability analysis and mitigation

Overview

CVE-2024-40921 was discovered in the Linux kernel's network bridge MST (Multiple Spanning Tree) implementation. The vulnerability was disclosed on July 12, 2024, affecting the VLAN group handling in the bridge MST subsystem. The issue specifically relates to how the VLAN group pointer is passed to the br_mst_vlan_set_state function (Kernel Git).

Technical details

The vulnerability stems from inefficient handling of VLAN group pointers in the bridge MST implementation. The issue involves repeatedly dereferencing the VLAN group pointer instead of passing the already obtained pointer directly to the br_mst_vlan_set_state() function. This was identified as a potential source of RCU (Read-Copy-Update) dereference issues (Kernel Git).

Impact

While the direct impact of this vulnerability appears to be limited, it required modification of the code to prevent potential RCU dereference issues. The fix was implemented to ensure proper handling of VLAN group pointers and prevent any possible use-after-free scenarios (Ubuntu Security).

Exploitability

The vulnerability was discovered through automated testing using syzkaller, as reported by syzbot. There are no known exploits in the wild, and the issue was primarily identified as a potential source of stability issues rather than a direct security threat (Kernel Git).

Mitigation and workarounds

The issue has been fixed in various Linux kernel versions, including Ubuntu 24.04 LTS (noble) with version 6.8.0-44.44 and other distributions. The fix involves modifying the br_mst_vlan_set_state function to accept the VLAN group pointer directly instead of dereferencing it again (Ubuntu Security).

Additional resources

Linux Distribution fix status

Fix availability across major Linux distributions and their releases.

Debian

Fixed

bookworm

linux: 6.1.99-1

Fixed

bullseye

linux-6.1: 6.1.119-1~deb11u1

Fixed

sid

linux: 6.9.7-1

Fixed

trixie

linux: 6.9.7-1

Fixed

SourceThis report was generated using AI

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