vLLM: GLMGA video sampling permits request-driven CPU and memory exhaustion
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.
- Products
- Not specified
- Affected versions
- Not specified
- Fixed versions
- Not specified
- CVEs
- CVE-2026-105760
- Confirmed fixed CVEs
- Not specified
- Updated in this feed
- 3 Nov 2026, 01:33 UTC · Revision 1
Source evidence
vLLM: GLMGA video sampling permits request-driven CPU and memory exhaustion
core-osv · Original sourcePublished 5 Oct 2026, 23:01 UTC
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.
osv:CVE-2026-105760
Complete source record
{
"id": "67a461aafca769d8801efa49202c931f046342266606a38d707e2a1c03bc7c20",
"url": "https://osv.dev/vulnerability/CVE-2026-105760",
"method": "structured",
"payload": {
"kind": "advisory",
"title": "vLLM: GLMGA video sampling permits request-driven CPU and memory exhaustion",
"summary": "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.",
"evidence": "osv:CVE-2026-105760",
"products": [],
"severity": "medium",
"structured": {
"id": "CVE-2026-105760",
"aliases": [
"CVE-2026-105760",
"GHSA-58v5-2m8f-94pr",
"PYSEC-2026-4307"
],
"metrics": [
{
"type": "CVSS_V3",
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L"
}
],
"affected": [
{
"ranges": [
{
"repo": "https://github.com/vllm-project/vllm",
"type": "GIT",
"events": [
{
"introduced": "78743ab5bffd381e88f97e1c8ba20473b0ae6d75"
},
{
"fixed": "9ed533eb4adfe48aef7e569a08daeccd2a773fed"
},
{
"fixed": "8b6de0eb9a09ef53f20cf06bd4d17ee264b9c2a7"
}
],
"database_specific": {
"extracted_events": [
{
"cpe": "cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*",
"range": [
{
"introduced": "0.23.0"
},
{
"fixed": "0.30.0"
}
],
"source": "CPE_RANGE"
},
{
"range": [
{
"fixed": "8b6de0eb9a09ef53f20cf06bd4d17ee264b9c2a7"
}
],
"source": "REFERENCES_COMMIT"
},
{
"range": [
{
"fixed": "9ed533eb4adfe48aef7e569a08daeccd2a773fed"
}
],
"source": "REFERENCES_TAG",
"original_tag": "v0.30.0"
}
]
}
}
],
"database_specific": {
"source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2026-105760.json"
}
}
],
"modified": "2026-10-28T02:30:25.055204551Z",
"provider": "osv",
"references": [
"https://github.com/vllm-project/vllm/releases/tag/v0.30.0",
"https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/105xxx/CVE-2026-105760.json",
"https://github.com/vllm-project/vllm/security/advisories/GHSA-58v5-2m8f-94pr",
"https://nvd.nist.gov/vuln/detail/CVE-2026-105760",
"https://github.com/vllm-project/vllm/commit/8b6de0eb9a09ef53f20cf06bd4d17ee264b9c2a7",
"https://github.com/vllm-project/vllm/pull/54935"
],
"provider_metadata": {
"cwe_ids": [
"CWE-400"
],
"cna_assigner": "GitHub_M",
"osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/105xxx/CVE-2026-105760.json"
}
},
"related_cves": [
{
"value": "CVE-2026-105760",
"evidence": "/id"
}
],
"security_relevant": true,
"severity_evidence": "/severity/0/score"
},
"source_id": "core-osv",
"document_id": 491673,
"published_at": "2026-10-05T23:01:54.972+00:00"
}