vLLM is an inference and serving engine for large language models. From 0.24.0 until 0.30.0, the Qwen2VLVideoBackend and Qwen3VLVideoBackend classes accept request-level values for the media_io_kwargs.video.max_frames and media_io_kwargs.video.fps fields without enforcing server-side ceilings. An unauthenticated caller can submit these values to the /tokenize endpoint, causing the sampler to decode every frame selected from attacker-controlled video input, consume disproportionate frontend memory, and potentially terminate the API process before scheduling or admission control. The Rust frontend is not affected because it rejects the media_io_kwargs field. This issue is fixed in version 0.30.0.
{
"cna_assigner": "GitHub_M",
"cwe_ids": [
"CWE-770"
],
"osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/105xxx/CVE-2026-105758.json"
}{
"extracted_events": [
{
"cpe": "cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*",
"range": [
{
"introduced": "0.24.0"
},
{
"fixed": "0.30.0"
}
],
"source": "CPE_RANGE"
},
{
"range": [
{
"fixed": "ea723c81c3ea26425cb69503a5d5e90822a04a45"
}
],
"source": "REFERENCES_COMMIT"
},
{
"original_tag": "v0.30.0",
"range": [
{
"fixed": "9ed533eb4adfe48aef7e569a08daeccd2a773fed"
}
],
"source": "REFERENCES_TAG"
}
]
}