CVE-2024-6563
Linux Debian vulnerability analysis and mitigation

Overview

A Buffer Copy without Checking Size of Input vulnerability (CVE-2024-6563) was discovered in Renesas arm-trusted-firmware. The vulnerability was disclosed in July 2024 and affects the arm-trusted-firmware component. This classic buffer overflow vulnerability allows for Local Execution of Code (ASRG Advisory).

Technical details

The vulnerability exists in the program files related to RCAR drivers. Specifically, in line 313, 'addr_loaded_cnt' is checked against 'CHECK_IMAGE_AREA_CNT' (5), but this check doesn't halt the function. At line 317, a buffer overflow occurs where the value of 'dst' is written to the area after the buffer (addr_loaded_cnt). The vulnerability has received a CVSS v3.1 Base Score of 7.5 HIGH (CVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:C/C:H/I:H/A:H) from ASRG, and 6.7 MEDIUM from NVD (ASRG Advisory).

Impact

The vulnerability allows an attacker to freely control the value of 'addr_loaded_cnt' and subsequently control the destination of the write operation in line 318. This means an attacker can perform writes to arbitrary memory locations with controlled values, potentially leading to code execution (ASRG Advisory).

Exploitability

The vulnerability requires local access and high privileges to exploit. While it has high complexity, successful exploitation could lead to complete compromise of the affected system's confidentiality, integrity, and availability (ASRG Advisory).

Mitigation and workarounds

A patch has been released to address this vulnerability. The fix enhances buffer protection by ensuring immediate function termination when parameter checks fail (GitHub Patch).

Additional resources

Linux Distribution fix status

Fix availability across major Linux distributions and their releases.

Debian

Fixed

bookworm

arm-trusted-firmware

Affected

bullseye

arm-trusted-firmware

Affected

sid

arm-trusted-firmware: 2.12.0+dfsg-2

Fixed

trixie

arm-trusted-firmware: 2.12.0+dfsg-2

Fixed

SourceThis report was generated using AI

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