Cuda ToolkitApplication · Nvidia

CVE-2025-23339

HIGH · 7.8 CVSS v3.1 Published 2025-09-24
Fix available
A fix is available. Upgrade to 13.0.0 or later.
See remediation →
81/100
Remediation priority · High
No privileges

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
NVIDIA CUDA Toolkit for all platforms contains a vulnerability in cuobjdump where an attacker may cause a stack-based buffer overflow by getting the user to run cuobjdump on a malicious ELF file. A successful exploit of this vulnerability may lead to arbitrary code execution at the privilege level of the user running cuobjdump.

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · high confidence

A stack-based buffer overflow vulnerability exists in NVIDIA's cuobjdump utility (used to inspect CUDA binary files). When a user runs cuobjdump on a maliciously crafted ELF file, the overflow occurs during parsing, potentially allowing arbitrary code execution at the privilege level of the user running the tool.

MitigationAvoid running cuobjdump on untrusted or unknown ELF files. Apply the NVIDIA CUDA Toolkit security patch when released. Consider restricting access to cuobjdump in high-security environments.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.

NVD · CPE data
Cuda ToolkitApplication
Affected:< 13.0.0

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Local
Complexity
Low
Privileges
None
User interaction
Required
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

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

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Locate cuobjdump installation
    Run 'which cuobjdump' or search common CUDA paths such as /usr/local/cuda/bin/cuobjdump, /opt/cuda/bin/cuobjdump, or check your CUDA_INSTALL_PATH environment variable
    Affected if cuobjdump is not found on the system, the vulnerability does not apply
  2. Determine cuobjdump version
    Run 'cuobjdump --version' or 'cuobjdump -v' to obtain the installed version number
    Affected if the version cannot be determined and you have an older CUDA Toolkit installation
  3. Identify CUDA Toolkit version
    Run 'nvcc --version' or check /usr/local/cuda/version.txt if available, as cuobjdump version typically aligns with the parent CUDA Toolkit version
    Affected if the CUDA Toolkit version is less than 13.0.0 and cuobjdump is present

You are affected if cuobjdump is installed and the CUDA Toolkit version is below 13.0.0, since the vulnerability exists in the tool itself when parsing ELF files.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

dbcve · scoped
Upgrade available Upgrade to 13.0.0 or later
Fixed in 13.0.0
Interim mitigation

Avoid running cuobjdump on untrusted or unknown ELF files. Apply the NVIDIA CUDA Toolkit security patch when released. Consider restricting access to cuobjdump in high-security environments.

Recommended fix High confidence

CUDA Toolkit 13.0.0 or later

  1. Identify the current CUDA Toolkit version by running 'nvcc --version' or checking the installation directory
  2. Download CUDA Toolkit version 13.0.0 or later from the official NVIDIA website (developer.nvidia.com/cuda-downloads)
  3. Backup any existing CUDA projects and configurations before upgrading
  4. Install the new CUDA Toolkit version following NVIDIA's official installation guide for your operating system
  5. Verify the installation by running 'nvcc --version' to confirm the new version is active
  6. Verify cuobjdump has been updated by running 'cuobjdump --version' to ensure the patched version is installed
Caveat Upgrade may require updating CUDA-dependent applications; ensure compatibility with your existing projects and driver versions before upgrading

Generated from the published advisory — verify against the referenced sources before acting.

Fix this in Cuda Toolkit Scoped from the published advisory
  • Consultation3.0 h
  • Implementation6.0 h
  • Testing3.0 h
  • Review / QA2.0 h
14.0 hours of engineering $2,490
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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2025-23339 in production — separate from our analysis above.

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What this is

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What belongs here
  • Verified mitigations, workarounds, and config changes
  • Version or environment caveats, and links to real fixes
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