CVE-2024-53090
Description
A flaw was found in the Linux kernel's AFS (Andrew File System) implementation. A local user could exploit this vulnerability to cause a Denial of Service (DoS) by triggering a system crash. The issue occurs during the handling of asynchronous requests when attempting to release a queued network call while an internal notification lock is already held, resulting in lock recursion and a kernel deadlock.
Mitigation
Prevent the in-kernel AFS module (`kafs`) from being loaded if Andrew File System functionality is not required.
1. Create a configuration file to disable module loading:
echo "install kafs /bin/true" > /etc/modprobe.d/disable-kafs.conf
2. Reboot warning and caveats:
If the `kafs` module is already loaded in the running kernel, a system reboot is required for this configuration to take effect. Disabling this module prevents the system from mounting or accessing AFS network shares.
Common Vulnerability Scoring System (CVSS) Score Details
Info alert:Important note
CVSS scores for open source components depend on vendor-specific factors (e.g. version or build chain). Therefore, Red Hat's score and impact rating can be different from NVD and other vendors. Red Hat remains the authoritative CVE Naming Authority (CNA) source for its products and services (see Red Hat classifications).
CVSS v3 Score Breakdown
| Red Hat | NVD | cve.org | |
|---|---|---|---|
| Base Score | 5.5 | 5.5 | 7.5 |
| Attack Vector | Local | Local | Network |
| Attack Complexity | Low | Low | Low |
| Privileges Required | Low | Low | None |
| User Interaction | None | None | None |
| Scope | Unchanged | Unchanged | Unchanged |
| Confidentiality | None | None | None |
| Integrity Impact | None | None | None |
| Availability Impact | High | High | High |
Vector
Red Hat: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
NVD: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
cve.org: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Understanding the Weakness (CWE)
Availability
Technical Impact: DoS: Resource Consumption (CPU); DoS: Resource Consumption (Memory)
Resources including CPU, memory, and stack memory could be rapidly consumed or exhausted, eventually leading to an exit or crash.
Confidentiality
Technical Impact: Read Application Data
In some cases, an application's interpreter might kill a process or thread that appears to be consuming too much resources, such as with PHP's memory_limit setting. When the interpreter kills the process/thread, it might report an error containing detailed information such as the application's installation path.
Frequently Asked Questions
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