vLLM: GLMGA video sampling permits request-driven CPU and memory exhaustion
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
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| vllm-project | vllm | affected |
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| Vllm-project | Vllm |
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| Source | ID | Title |
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Github GHSA |
GHSA-58v5-2m8f-94pr | vLLM: GLMGA video sampling permits request-driven CPU and memory exhaustion |
No CVSS v4.0
No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.297% probability within 30 days)
| Type | Values Removed | Values Added |
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| First Time appeared |
Vllm
Vllm vllm |
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| CPEs | cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:* | |
| Vendors & Products |
Vllm
Vllm vllm |
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| Metrics |
ssvc
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| Type | Values Removed | Values Added |
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| Weaknesses | CWE-770 | |
| References |
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| Metrics |
threat_severity
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threat_severity
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| Type | Values Removed | Values Added |
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| First Time appeared |
Vllm-project
Vllm-project vllm |
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| Vendors & Products |
Vllm-project
Vllm-project vllm |
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| Description | 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. | |
| Title | vLLM: GLMGA video sampling permits request-driven CPU and memory exhaustion | |
| Weaknesses | CWE-400 | |
| References |
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| Metrics |
cvssV3_1
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