CVE-2026-74697

Linux · Kernel

A data corruption vulnerability exists in the bnxt_en Linux kernel driver due to improper handling of End of frame padding (EOP) and Relaxed Ordering (RO) on aggregation rings.

Executive summary

A vulnerability in the Linux kernel bnxt_en driver can lead to data corruption during network packet processing, potentially impacting system integrity.

Vulnerability

The bnxt_en driver fails to properly disable End of frame padding (EOP) when TPA is enabled, which can cause zero padding to overwrite valid data in subsequent segments when Relaxed Ordering (RO) is active. This flaw is reachable by an unauthenticated attacker capable of triggering specific network traffic patterns on affected hardware.

Business impact

Successful exploitation results in memory and data corruption, which may lead to system instability, application crashes, or the silent corruption of processed data. With a CVSS score of 8.2, this high-severity vulnerability poses a significant risk to the reliability of services relying on affected Broadcom network interfaces, particularly on ARM-based systems where this behavior has been confirmed.

Remediation

Immediate Action: Update the Linux kernel to one of the patched versions: 5.10.265, 5.15.216, 6.1.183, or 6.6.152.

Proactive Monitoring: Monitor system logs for kernel-level errors or unexpected network driver resets that may indicate performance issues or memory corruption events.

Compensating Controls: If patching is not immediately feasible, consider disabling Relaxed Ordering (RO) on the affected network interface cards if the hardware configuration permits, though this may impact network performance.

Exploitation status

Public Exploit Available: Unknown.

Analyst recommendation

Given the potential for silent data corruption, administrators should prioritize updating kernel packages on all affected infrastructure. While there is no current evidence of active exploitation, the nature of kernel-level flaws necessitates prompt patching to maintain system stability and data integrity.

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