Vulnerability Details CVE-2026-105760
vLLM is an inference and serving engine for large language models. Prior to 0.30.0, a caller can use the request-level media_io_kwargs field to select the GLMGA video backend and supply large values for the fps and max_frames options without a strict work ceiling. GLMGA constructs and deduplicates an attacker-sized pre-decode frame-index list, allowing a compact request and tiny valid video to consume disproportionate CPU time and memory in the shared media-loading executor. This issue is fixed in version 0.30.0.
Exploit prediction scoring system (EPSS) score
EPSS Score 0.003
EPSS Ranking 20.9%
CVSS Severity
CVSS v3 Score 5.3
References
Products affected by CVE-2026-105760
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cpe:2.3:a:vllm:vllm:0.23.0
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cpe:2.3:a:vllm:vllm:0.23.1
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cpe:2.3:a:vllm:vllm:0.24.0
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cpe:2.3:a:vllm:vllm:0.25.0
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cpe:2.3:a:vllm:vllm:0.25.1
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cpe:2.3:a:vllm:vllm:0.26.0
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cpe:2.3:a:vllm:vllm:0.26.1
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cpe:2.3:a:vllm:vllm:0.27.0
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cpe:2.3:a:vllm:vllm:0.27.1
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cpe:2.3:a:vllm:vllm:0.28.0
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cpe:2.3:a:vllm:vllm:0.28.1
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cpe:2.3:a:vllm:vllm:0.29.0
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cpe:2.3:a:vllm:vllm:0.29.1