CVE-2025-23338
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 all platforms contains a vulnerability in nvdisasm where a user may cause an out-of-bounds write by running nvdisasm on a malicious ELF file. A successful exploit of this vulnerability may lead to denial of service.
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's nvdisasm tool (part of CUDA Toolkit) contains an out-of-bounds write vulnerability when parsing maliciously crafted ELF files. An attacker can trigger this by supplying a specially crafted ELF file to nvdisasm, causing a denial of service through memory corruption.
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< 13.0.0CVSS 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
- None
- Integrity
- None
- Availability
- High
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/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 checksWork through these to decide whether this CVE applies to you.
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Locate nvdisasm executableSearch for nvdisasm in common CUDA Toolkit installation paths such as /usr/local/cuda/bin/nvdisasm, or use 'which nvdisasm' or 'find /usr -name nvdisasm' commandAffected if nvdisasm is found on the system
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Determine CUDA Toolkit versionRun 'nvcc --version' to display the CUDA Toolkit version, or check the directory name containing nvdisasm (e.g., cuda_12.x.x)Affected if The CUDA Toolkit version is reported as < 13.0.0
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Check nvdisasm binary versionRun 'nvdisasm --version' or 'nvdisasm -v' to display the nvdisasm binary version directlyAffected if The reported version is < 13.0.0 or the version cannot be determined (older toolkit)
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Inspect recent ELF file processingReview any logs, scripts, or automation that invoke nvdisasm with external input files; check for command lines like 'nvdisasm <file>' processing untrusted ELF filesAffected if nvdisasm is being run on ELF files from untrusted or unverified sources
The environment is affected if CUDA Toolkit version is below 13.0.0 AND nvdisasm is used to parse ELF files from untrusted sources.
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 · scoped13.0.0
Do not run nvdisasm on untrusted or unverified ELF files. Apply NVIDIA's official patch/updates to the CUDA Toolkit when released. Consider input validation or sandboxing for nvdisasm operations if processing external files is necessary.
CUDA Toolkit 13.0.0
- 1. Identify the current installed 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. Uninstall the existing CUDA Toolkit version if installed via package manager, or navigate to the installation directory
- 4. Install the downloaded CUDA Toolkit 13.0.0 (or newer) using the appropriate installer for your operating system
- 5. After installation, verify that nvdisasm has been updated by running 'nvdisasm --version' to confirm the new version is in place
- 6. Test that legitimate CUDA binaries can still be disassembled properly with the updated nvdisasm
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation2.0 h
- Implementation4.0 h
- Testing3.0 h
- Review / QA1.0 h
An estimate, not a bill — we confirm scope with you before any work starts. Need it this week? Rush from $2,800.
Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2025-23338 — 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-2025-23338 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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- Version or environment caveats, and links to real fixes
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