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•added 2026/07/06 7:49 p.m.•27 views

CVE-2026-54234

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 convert...

8.7CVSS7.3AI score0.00616EPSS
SaveExploits1References8
Rapid7 Vulnerability Database (full)
Rapid7 Vulnerability Database (full)
•added 2026/07/06 12:00 a.m.•11 views

CVE-2026-54234: Improper Input Validation

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 convert...

7.5CVSS7.4AI score0.00616EPSS
SaveExploits1References7
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