CVE-2026-116173: vLLM Rust gRPC denial of service via output_candidates validation bypass

CVE-2026-116173 · Severity: medium · CVSS 5.9 · Published 2026-10-25

vLLM is an open-source large language model inference engine that serves AI models over a network interface. Attackers can crash the inference engine by sending specially crafted requests that bypass input validation in the Rust gRPC frontend, causing a denial of service that takes the model offline and blocks all inference requests.

Technologies: vllm (PyPI), vLLM Project vllm. Vendors: PyPI, vLLM Project.

Quick answers

Is CVE-2026-116173 exploited in the wild?
No. Junglewise Threat Intelligence has no report of CVE-2026-116173 being exploited in the wild.
How severe is CVE-2026-116173?
Medium severity, with a CVSS score of 5.9, published 25 October 2026.
Which products and versions are affected?
vllm (PyPI) ECOSYSTEM:introduced=0.22.0,fixed=0.24.0; vLLM Project vllm 0.22.0 to before 0.24.0.
Is there a fix for CVE-2026-116173?
Yes. vllm (PyPI): upgrade to 0.24.0 or later. Until then: Restrict network access to the Rust gRPC endpoint to trusted clients only, or run vLLM behind an API gateway that validates output_candidates.token_ids length before forwarding requests. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.
How is CVE-2026-116173 attacked?
It is attacked over the network.
Am I affected by CVE-2026-116173?
Check whether you run vllm (PyPI) or vLLM Project vllm 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.

How to fix

  • vllm (PyPI): upgrade to 0.24.0 or later
    pip install "vllm>=0.24.0"

Restrict network access to the Rust gRPC endpoint to trusted clients only, or run vLLM behind an API gateway that validates output_candidates.token_ids length before forwarding requests.

Technical details

The Rust gRPC frontend accepts ResponseOptions.output_candidates.token_ids without enforcing the Python SamplingParams validator's 128-token limit (MAX_LOGPROB_TOKEN_IDS). Attackers send Generate or GenerateStream requests with output_logprobs enabled and over 128 token IDs, bypassing early validation and causing a fatal exception in the GPU logprob sampler when the oversized list reaches fixed-width tensor allocation. The vulnerability requires network access to the gRPC endpoint with no authentication required.

Affected products

  • vLLM Project vLLM 0.22.0 to before 0.24.0

Identifiers

  • CVE-2026-116173
  • GHSA-6pgw-f3pv-4h8q
  • PYSEC-2026-4350

Timeline

  • 2026-10-09: disclosed
  • 2026-10-25: advisory
  • 2026-10-25: patched: vLLM 0.24.0 released

References

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