Improper Input Validation Affecting vllm-wheels package, versions *
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-MINIMOSLATEST-VLLMWHEELS-17897904
- published9 Jul 2026
- disclosed6 Jul 2026
Introduced: 6 Jul 2026
NewCVE-2026-54234 (opens in a new tab)How to fix?
There is no fixed version for Minimos:latest vllm-wheels.
NVD Description
Note: Versions mentioned in the description apply only to the upstream vllm-wheels package and not the vllm-wheels package as distributed by Minimos.
See How to fix? for Minimos:latest relevant fixed versions and status.
vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Prior to 0.24.0, a frontend-legal multi-request speculative decoding workload can cause the rejection sampler to produce a recovered token equal to the model vocabulary size boundary value, which is then converted to negative one when the engine selects the next live token for a request and is written back into the drafter's input ids; that out-of-vocabulary value is later consumed by the model's embedding and attention path and crashes the engine worker with a GPU device-side assertion. The same triggering request sequence is reachable through the public gRPC Generate and Abort endpoints, so a remote client that can send generation requests can crash the shared engine worker, aborting concurrent requests and causing a service-wide denial of service for other clients of the deployment until the worker is restarted. This issue is fixed in version 0.24.0.
References
- https://www.cve.org/CVERecord?id=CVE-2026-54234
- https://osv.dev/vulnerability/MINI-6x45-vhwg-79vf
- https://osv.dev/vulnerability/CVE-2026-54234
- https://github.com/vllm-project/vllm/commit/8a5cf1ccd65e8ac7635c402c1ec0b08988bc26ca
- https://github.com/vllm-project/vllm/pull/44744
- https://github.com/vllm-project/vllm/security/advisories/GHSA-8wr5-jm2h-8r4f