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A vulnerability in the Linux kernel's BPF verifier was discovered and resolved, identified as CVE-2024-41003. The issue involves a corruption in the reg_set_min_max function of the BPF verifier, where a 'fake' register used for constant value comparison could be manipulated to cause incorrect verification results. The vulnerability was discovered by Juan José López Jaimez while implementing a new fuzzing strategy guided by coverage (Kernel Git).
The vulnerability occurs in the BPF verifier's register state analysis during conditional jumps. When analyzing branches, the verifier creates a 'fake' register initialized as scalar to hold constant values. The issue arises when the same fake register location is used as input to reg_set_min_max(), allowing the false branch analysis to influence the true branch results through register state corruption. This can lead to situations where the verifier assumes incorrect values (e.g., R6_w=0 when the actual runtime value is 1). The vulnerability was fixed by implementing separate memory locations for the fake registers and moving them into the environment structure (Kernel Git).
The vulnerability could potentially lead to incorrect verification results in the BPF verifier, allowing programs to pass verification when they should be rejected. This could potentially lead to unauthorized operations or security bypass in BPF program verification (Red Hat CVE).
The vulnerability has a CVSS v3.1 base score of 4.4 (Low severity) with attack vector being Local (AV:L), requiring high privileges (PR:H) and no user interaction (UI:N). The scope is unchanged (S:U) with no impact on confidentiality or integrity, but potential impact on availability (C:N/I:N/A:H) (Red Hat CVE).
The vulnerability has been fixed in the Linux kernel by modifying the BPF verifier to use separate memory locations for fake registers during comparison operations. The fix involves making a copy of the fake register and moving it into the environment structure, which also reduces stack consumption by 120 bytes (Kernel Git).
Source: This report was generated using AI
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