CVE-2020-29534
CBL Mariner vulnerability analysis and mitigation

Overview

CVE-2020-29534 is a vulnerability discovered in the Linux kernel before version 5.9.3. The issue involves the io_uring subsystem incorrectly handling reference counting for the files_struct of processes that submit requests, which causes execve() to incorrectly optimize unshare_fd(). This vulnerability was identified with the commit ID CID-0f2122045b94 (NVD, Ubuntu).

Technical details

The vulnerability stems from io_uring taking a non-refcounted reference to the files_struct of the process that submitted a request. This weak reference handling could lead to incorrect optimization of unshare_fd() during execve() operations. The issue was fixed by implementing proper reference counting and adding per-task tracking of io_uring contexts. The vulnerability has a CVSS v3.1 Base Score of 7.8 (High), with the vector string CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H (NVD).

Impact

The vulnerability could allow a local attacker to expose sensitive information or potentially escalate privileges on affected systems. The improper reference counting could lead to memory corruption or system instability when executing processes that use io_uring operations (Ubuntu).

Exploitability

This vulnerability requires local access and can be exploited by a user with low privileges. The attack complexity is considered low, requiring no user interaction. The vulnerability has been documented in public security trackers and has available proof-of-concept code (Project Zero).

Mitigation and workarounds

The vulnerability was fixed in Linux kernel version 5.9.3. The fix involves implementing proper reference counting for files_struct and adding tracking mechanisms for io_uring contexts. Users should upgrade their Linux kernel to version 5.9.3 or later. For Ubuntu users, specific kernel versions have been released with the fix, such as 5.8.0-34.37 for Ubuntu 20.10 and 5.8.0-34.37~20.04.2 for Ubuntu 20.04 LTS (Ubuntu).

Additional resources


SourceThis report was generated using AI

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