๐Ÿ›ก๏ธ DEBIAN-CVE-2025-38679
โšช Unknown โœ… No Known Exploit OSV
N/A
CVSS Score
0 Low4 Medium7 High9 Critical10

Description

In the Linux kernel, the following vulnerability has been resolved: media: venus: Fix OOB read due to missing payload bound check Currently, The event_seq_changed() handler processes a variable number of properties sent by the firmware. The number of properties is indicated by the firmware and used to iterate over the payload. However, the payload size is not being validated against the actual message length. This can lead to out-of-bounds memory access if the firmware provides a property count that exceeds the data available in the payload. Such a condition can result in kernel crashes or potential information leaks if memory beyond the buffer is accessed. Fix this by properly validating the remaining size of the payload before each property access and updating bounds accordingly as properties are parsed. This ensures that property parsing is safely bounded within the received message buffer and protects against malformed or malicious firmware behavior.

Details

Severity Unknown
CVSS Score N/A
CVSS Vector N/A
CWE N/A
Public Exploit โœ… No
Source OSV
Published 2025-09-04
Updated 2026-06-14
Modified 2026-06-11
Fix URL N/A

Affected Packages

Software From version Fixed in
linux โ€” 6.16.3-1
linux-6.1 โ€” 6.1.153-1~deb11u1

Similar Threats

Exploit Protection

Help block exploit attempts

BotEraser is designed to detect and help reduce malicious bot traffic that may target known vulnerabilities on your site.

Try BotEraser Free โ†’

No credit card required  ยท  Results in minutes

ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.