# CVE-2026-24255: NVIDIA Dynamo hash collision in multimodal embedding cache

Source: https://junglewise.ai/threats/cve-2026-24255-nvidia-dynamo-hash-collision-in-multimodal-embedding-cache  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2026-08-04. Updated: 2026-09-25  
License: CC BY 4.0 with a link back

CVE-2026-24255 · Severity: high · CVSS 7.5 · Published 2026-08-04

NVIDIA Dynamo for Linux is a machine learning component that processes and caches image embeddings for multimodal AI models. An attacker can craft images with identical pixel data but different dimensions to trigger a cache hash collision, potentially causing the system to return incorrect cached data and tamper with ML model outputs or training data.

Technologies: [Linux Kernel](https://junglewise.ai/threats/technologies/kernel), [Nvidia Dynamo](https://junglewise.ai/threats/technologies/dynamo). Vendors: [Linux](https://junglewise.ai/threats/vendors/linux), [Nvidia](https://junglewise.ai/threats/vendors/nvidia).

## Quick answers

**Is CVE-2026-24255 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2026-24255 being exploited in the wild.

**How severe is CVE-2026-24255?** High severity, with a CVSS score of 7.5, published 4 August 2026.

**Which products and versions are affected?** Nvidia Dynamo <UNKNOWN>.

**Is there a fix for CVE-2026-24255?** No fixed version is recorded yet. Check the vendor's advisory in the references below. If you run it, Junglewise drafts a mitigation that fits your setup and applies it once you approve, with senior security engineers behind it.

**How is CVE-2026-24255 attacked?** It is attacked over the network, in a software library.

**Am I affected by CVE-2026-24255?** Check whether you run Linux Kernel or Nvidia Dynamo at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

## Technical details

The vulnerability is a hash collision weakness in the multimodal embedding cache mechanism. An attacker can submit images that share an identical pixel byte sequence but have different dimensions, causing them to hash to the same cache entry. This is a logic flaw in how cache keys are computed—likely missing dimension data from the hash—allowing an attacker to poison or retrieve incorrect cached embeddings. The attack requires network access to submit images to Dynamo and does not require authentication. A successful exploit enables data tampering by causing the system to serve incorrect embeddings, affecting model inference accuracy or training integrity.

## Affected products

- NVIDIA Dynamo <UNKNOWN>

## Timeline

- 2026-08-04: disclosed

## References

- [https://github.com/NVIDIA/product-security/tree/main/2026/5842](https://github.com/NVIDIA/product-security/tree/main/2026/5842)
- [https://www.cve.org/CVERecord?id=CVE-2026-24255](https://www.cve.org/CVERecord?id=CVE-2026-24255)

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