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A vulnerability known as 'StackRot' (CVE-2023-3269) was discovered in the Linux kernel versions 6.1 through 6.4. The vulnerability exists in the memory management subsystem where the lock handling for accessing and updating virtual memory areas (VMAs) is incorrect. The issue was introduced when the VMA tree structure was changed from red-black trees to maple trees in version 6.1 (OSS Security).
The vulnerability stems from the maple tree's node replacement process during stack expansion, which occurs without properly acquiring the MM write lock. When the stack expansion eliminates a gap between VMAs, a new node is created and the old node is destroyed using an RCU callback. However, since VMA accesses only hold the MM read lock without entering the RCU critical section, the callback could be invoked at any time, leading to use-after-free problems. The vulnerability has a CVSS v3.1 base score of 7.8 (HIGH) with vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H (NVD, NetApp Advisory).
When successfully exploited, this vulnerability allows an unprivileged local user to execute arbitrary kernel code, escalate container privileges, and gain root access. The vulnerability affects almost all kernel configurations and requires minimal capabilities to trigger, making it a significant security risk (OSS Security).
The vulnerability was fixed in Linux kernel versions 6.1.37, 6.3.11, and 6.4.1, released on July 1st, 2023. The fix involved a comprehensive patch series led by Linus Torvalds, which was merged into the Linux kernel 5.5 merge window on June 28th. Users are advised to upgrade to these or later versions to mitigate the vulnerability (OSS Security).
The vulnerability generated significant discussion within the Linux kernel security community, particularly regarding the handling of embargoed security issues and the relationship between the kernel security team and the linux-distros mailing list. This led to changes in how kernel security issues are reported and handled (OSS Security).
Source: This report was generated using AI
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