CVE intelligence and bounded remediation

CVE-2024-0115 — Nvidia Cv-Cuda security vulnerability

Medium CVSS 6.1

NVIDIA CV-CUDA for Ubuntu 20.04, Ubuntu 22.04, and Jetpack contains a vulnerability in Python APIs where a user may cause an uncontrolled resource consumption issue by a long running CV-CUDA Python process. A successful exploit of this vulnerability may lead to denial of service and data loss.

Severity
Medium
CVSS
6.1 (3.1)
Published
2024-08-12
CISA KEV
Not currently listed
Ecosystem
python/pypi
Weaknesses
CWE-400

Affected products

  • nvidia / cv-cuda / 0.1.0
  • nvidia / cv-cuda / 0.2.0
  • nvidia / cv-cuda / 0.2.1
  • nvidia / cv-cuda / 0.3.0
  • nvidia / cv-cuda / 0.3.1
  • nvidia / cv-cuda / 0.4.0

Showing 6 representative product identities from 11 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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