CVE-2023-25513
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 · uneditedNVIDIA CUDA toolkit for Linux and Windows contains a vulnerability in cuobjdump, where an attacker may cause an out-of-bounds read by tricking a user into running cuobjdump on a malformed input file. A successful exploit of this vulnerability may lead to limited denial of service, code execution, and limited information disclosure.
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 · moderate confidenceNVIDIA cuobjdump, a CUDA binary analysis tool, contains an out-of-bounds read vulnerability when parsing malformed input files. An attacker could craft a specially crafted file that, when processed by cuobjdump, allows reading memory beyond allocated buffers, potentially leading to denial of service, code execution via memory disclosure, or limited information exposure.
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< 12.0.1CVSS 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
- Low
- Integrity
- High
- Availability
- Low
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:H/A:L
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 checksWork through these to decide whether this CVE applies to you.
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Locate cuobjump executableRun 'which cuobjump' or 'where cuobjump' on Windows to find the tool's installation pathAffected if cuobjump is present on the system and processes external input files
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Identify CUDA Toolkit versionRun 'nvcc --version' or check the CUDA installation directory for a version file, or run 'cuobjump --version' if supportedAffected if The installed CUDA Toolkit version is below 12.0.1
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Compare version against affected rangeCompare the discovered version number to 12.0.1 using semantic version comparisonAffected if The version is 12.0.0 or earlier, or any version string that evaluates to less than 12.0.1
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Assess input exposureReview any scripts, workflows, or automated processes that invoke cuobjump on files from untrusted or external sourcesAffected if cuobjump processes files from untrusted or unknown origins without prior validation
You are affected if cuobjump is installed and the CUDA Toolkit version is below 12.0.1 and the tool processes external input files.
Generated from the published advisory. Verify against your own configuration.
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 · scoped12.0.1
Avoid running cuobjdump on untrusted or malformed input files until NVIDIA releases an official patch; validate and sanitize all input files before processing with cuobjdump.
CUDA Toolkit 12.0.1
- 1. Identify the current installed CUDA Toolkit version by running 'nvcc --version'
- 2. Download CUDA Toolkit version 12.0.1 or later from the NVIDIA website (developer.nvidia.com/cuda-downloads)
- 3. Uninstall the current CUDA Toolkit version using the appropriate package manager or installer
- 4. Install the downloaded CUDA Toolkit 12.0.1 for your OS (Linux or Windows)
- 5. Verify the installation by running 'nvcc --version' to confirm version 12.0.1 or later is installed
- 6. Ensure environment variables (PATH, LD_LIBRARY_PATH) point to the new CUDA installation if manually configuring
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation4.0 h
- Implementation8.0 h
- Testing6.0 h
- Review / QA4.0 h
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Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2023-25513 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.
References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.
Primary sourcesPractitioner notes
ContributedPeer-ranked notes from engineers who’ve handled CVE-2023-25513 in production — separate from our analysis above.
The advisory tells you what broke. It rarely tells you what actually worked. If you’ve dealt with this one, that detail is what the next engineer is searching for.
- The version that genuinely resolved it — not the one the vendor claimed
- A config change or rule that shut the vector down
- A gotcha in the upgrade path that cost you an afternoon
No notes yet
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- Verified mitigations, workarounds, and config changes
- Version or environment caveats, and links to real fixes
- No weaponised exploit code, or anything meant to cause harm
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