CVE-2023-25512
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 memory read by 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 toolkit utility for examining GPU executables, contains an out-of-bounds read vulnerability when processing malformed input files. An attacker can trigger this by providing a specially crafted file to cuobjdump, potentially leading to denial of service, limited code execution, or information disclosure through memory contents 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< 12.1.0CVSS 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 the cuobjdump binaryRun 'which cuobjdump' or 'find /usr -name cuobjdump 2>/dev/null' to find the cuobjdump executable in your environmentAffected if cuobjdump binary is found on the system - the tool is installed and could be used to process files
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Determine CUDA Toolkit versionRun 'nvcc --version' or check '/usr/local/cuda/version.txt' to identify the installed CUDA Toolkit version numberAffected if CUDA Toolkit version is present and is less than 12.1.0 - this indicates the vulnerable version is installed
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Verify cuobjdump version directlyRun 'cuobjdump -V' or 'cuobjdump --version' to get the cuobjdump utility version directlyAffected if cuobjdump version reports less than 12.1.0, confirming the vulnerable binary is present
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Check for multiple CUDA installationsSearch for other cuobjdump instances: 'find / -name cuobjdump -type f 2>/dev/null' to identify all installed copiesAffected if Any cuobjdump instance found with version below 12.1.0 means that path is vulnerable
A user is affected if cuobjdump is installed and the CUDA Toolkit version is below 12.1.0, as the out-of-bounds read flaw can be triggered when processing malformed 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 · scoped12.1.0
Avoid running cuobjdump on untrusted input files and monitor for NVIDIA security patches for the CUDA toolkit. Consider restricting access to cuobjdump until a fix is available.
CUDA Toolkit 12.1.0 or later
- 1. Identify the current installed CUDA Toolkit version using 'nvcc --version' or checking the installation directory
- 2. Download CUDA Toolkit version 12.1.0 or later from the NVIDIA developer website (https://developer.nvidia.com/cuda-downloads)
- 3. Install the updated CUDA Toolkit following the NVIDIA installation guide for your operating system (Linux or Windows)
- 4. Verify the installation by running 'nvcc --version' to confirm the version is 12.1.0 or higher
- 5. Test that cuobjdump functions correctly with the updated installation
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation4.0 h
- Implementation6.0 h
- Testing4.0 h
- Review / QA6.0 h
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Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2023-25512 — 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-2023-25512 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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