CVE intelligence and bounded remediation

CVE-2024-42145 — Linux Linux Kernel security vulnerability

Medium CVSS 5.5

In the Linux kernel, the following vulnerability has been resolved: IB/core: Implement a limit on UMAD receive List The existing behavior of ib_umad, which maintains received MAD packets in an unbounded list, poses a risk of uncontrolled growth. As user-space applications extract packets from this list, the rate of extraction may not match the rate of incoming packets, leading to potential list overflow. To address this, we introduce a limit to the size of the list. After considering typical scenarios, such as OpenSM processing, which can handle approximately 100k packets per second, and the 1-second retry timeout for most packets, we set the list size limit to 200k. Packets received beyond this limit are dropped, assuming they are likely timed out by the time they are handled by user-space. Notably, packets queued on the receive list due to reasons like timed-out sends are preserved even when the list is full.

Severity
Medium
CVSS
5.5 (3.1)
Published
2024-07-30
CISA KEV
Not currently listed
Ecosystem
linux/kernel
Weaknesses
CWE-770

Affected products

  • linux / linux_kernel

Showing 1 representative product identities from 7 source matches. Confirm exact affected versions with the linked vendor and NVD evidence.

Matched remediation archetype

Resource exhaustion and denial of service

This catalog composition supplies bounded fallback guidance. Explicitly reviewed curated workflows load with the complete record below.

Check exposure

  • Identify attacker-influenced work factors including input size, nesting, compression, fan-out, regex cost, allocation, recursion, retries, and connection lifetime.
  • Map per-request and shared CPU, memory, disk, descriptor, thread, queue, and downstream-service limits.
  • Determine whether authentication, tenancy, quotas, and rate controls apply before expensive processing begins.

Remediate safely

  • Bound input size, nesting, expansion, work, concurrency, queue depth, retries, and execution time before resource-intensive processing.
  • Release resources on every success, error, cancellation, and timeout path and use backpressure instead of unbounded buffering.
  • Update affected components and add small deterministic tests that assert resource ceilings rather than exhausting a host.

Authoritative sources

Complete CVE record and remediation plan

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