CVE-2022-48652

Description

A vulnerability was found in the Linux kernel's ICE network driver. This issue occurs when updating Traffic Classes (TCs) beyond the number of allocated queues. If more TCs are defined than available queues, this mismatch causes the system to leave behind an invalid configuration, which can lead to crashes due to an invalid pointer access.

This vulnerability is primarily triggered when a configuration update via LLDP (Link Layer Discovery Protocol) attempts to define more TCs than there are available transmit or receive queues. The crash stems from a failure in handling this mismatch properly, which results in a general protection fault and potential system crashes.

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).

The following CVSS metrics and score provided are preliminary and subject to review.

CVSS v3 Score Breakdown

Red HatNVDcve.org
Base Score6.15.58.8
Attack VectorLocalLocalAdjacent Network
Attack ComplexityLowLowLow
Privileges RequiredLowLowNone
User InteractionNoneNoneNone
ScopeUnchangedUnchangedUnchanged
ConfidentialityLowNoneHigh
Integrity ImpactNoneNoneHigh
Availability ImpactHighHighHigh

Vector

Red Hat: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/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:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Understanding the Weakness (CWE)

Availability

Technical Impact: DoS: Resource Consumption (CPU); DoS: Resource Consumption (Memory); DoS: Resource Consumption (Other)

When allocating resources without limits, an attacker could prevent other systems, applications, or processes from accessing the same type of resource. It can be easy for an attacker to consume many resources by rapidly making many requests or causing larger resources to be used than is needed.

Frequently Asked Questions

Want to get errata notifications? Sign up here.