CVE-2024-0109
3.3 · LOWOverview
CVE-2024-0109 is a low-severity vulnerability affecting nvidia cuda_toolkit. It was published on August 31, 2024 and has a CVSS 3.1 base score of 3.3 (LOW).
This vulnerability has a CVSS 3.1 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.
Technical Description
NVIDIA CUDA Toolkit contains a vulnerability in command `cuobjdump` where a user may cause a crash by passing in a malformed ELF file. A successful exploit of this vulnerability may cause an out of bounds read in the unprivileged process memory which could lead to a limited denial of service.
Remediation
Check the references section for vendor advisories and patches from nvidia. Update cuda_toolkit to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Affected Products
| Vendor | Product | Versions | Status |
|---|---|---|---|
| nvidia | cuda_toolkit | 0 | Affected |
Frequently Asked Questions
What is CVE-2024-0109?
CVE-2024-0109 is a low-severity vulnerability affecting nvidia cuda_toolkit. It was published on August 31, 2024 and has a CVSS 3.1 base score of 3.3 (LOW).
How severe is CVE-2024-0109?
This vulnerability has a CVSS 3.1 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2024-0109?
Check the references section for vendor advisories and patches from nvidia. Update cuda_toolkit to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2024-0109?
CyberStrike's AI-powered security agents can automatically detect CVE-2024-0109 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
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