CVE-2022-48938: 
Linux Kernel vulnerability analysis and mitigation

Overview

CVE-2022-48938 is a vulnerability in the Linux kernel's CDC-NCM (USB Network Control Model) driver that was disclosed and patched in 2022. The vulnerability affects Linux kernel versions up to 5.10.103, from 5.11 to 5.15.26, and from 5.16 to 5.16.12. This integer overflow vulnerability occurs in the sanity checking mechanism of the CDC-NCM driver (NVD).

Technical details

The vulnerability stems from improper handling of offset values in the CDC-NCM driver's sanity checking mechanism. A broken device could provide an extreme offset value (like 0xFFF0) along with a reasonable fragment length, which could trigger an integer overflow in the sanity check calculation. The issue occurs because the original code used signed integers for offset and length calculations, and the addition operation could overflow, defeating the intended sanity check (Kernel Patch). The vulnerability has been assigned a CVSS v3.1 Base Score of 5.5 (Medium) with vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H (NVD).

Impact

The vulnerability could allow a local attacker to potentially cause a denial of service condition by triggering an integer overflow in the kernel's CDC-NCM driver. This could affect systems using USB network devices that utilize the CDC-NCM protocol (NVD).

Exploitability

The vulnerability requires local access and can be triggered by a malicious USB device providing specific offset and length values that cause an integer overflow. The attack complexity is considered low, but it requires local privileged access to exploit (NVD).

Mitigation and workarounds

The vulnerability has been fixed by changing the offset and length variables to unsigned integers and implementing proper overflow checks. The patch ensures both offset and offset + len are checked in a manner that prevents integer overflow. Users should update their Linux kernel to versions that include the fix (Kernel Patch).

Additional resources


Source: This report was generated using AI

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