CVE-2026-56340 vLLM - Denial of Service via Unvalidated Multimodal Embeddings

High 8.7 Published Updated

Attackers can cause denial of service in vLLM by submitting malformed multimodal embeddings when the prompt-embeds feature is enabled.

Exploited in the wild
Not known
Login needed
Any signed-in user
Attackable
Over the internet
Victim action needed
Not needed
Fix
Available

What is CVE-2026-56340?

CVE-2026-56340 is a high-severity denial of service vulnerability in Vllm Vllm, published on 20 Jun 2026. Any signed-in user can exploit it over the network, with no action from the victim.

Official description

vLLM versions >= 0.10.2 and < 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed (negative or out-of-bounds) tensor indices, when the prompt-embeds feature is enabled, to trigger crashes or resource exhaustion (denial of service), with potential for out-of-bounds/write-what-where memory corruption. This continues CVE-2025-62164, whose prior fix only disabled the feature by default rather than addressing the root cause.

Weakness: CWE-787, CWE-20

Which versions are affected by CVE-2026-56340?

3 open source packages ship an affected version, including vllm. It affects 1 product.

PackageAffectedFixed in
vllm PyPIFrom 0.10.20.13.0
vllm PyPIFrom 0.10.20.13.0
vllm PyPIFrom 0.10.20.13.0

Products include Vllm Vllm.

How do I fix CVE-2026-56340?

Upgrade vllm to 0.13.0 or later.

Upgrade, then put limits on request size, rate and nesting depth so one client cannot exhaust the service. More about Denial of service.

Is CVE-2026-56340 being exploited?

There is no known exploitation of CVE-2026-56340 in the wild and no public exploit code.

All Vllm Vllm vulnerabilities

Sources

Also known as GHSA-mcmc-2m55-j8jj, PYSEC-2026-250.

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