Severity by source
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Network vector, no authentication required per PR:N in source CVSS 4.0; impact is partial availability only with no confidentiality or integrity breach.
Primary rating from Vendor (VulnCheck).
CVSS VectorVendor: VulnCheck
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Lifecycle Timeline
2DescriptionCVE.org
vLLM before 0.27.0 fails to properly classify DeepStream as a GPU backend and omits pixel-limit enforcement in its decode path. Unauthenticated attackers can activate DeepStream at request time to initialize the process-wide GPU decode pool and submit video that bypasses resource controls, causing partial denial of service for concurrent requests.
AnalysisAI
Remote denial-of-service in vLLM before 0.27.0 allows unauthenticated network attackers to activate the DeepStream GPU video-decode backend per-request, initialize the process-wide GPU decode pool, and submit video content that bypasses pixel-limit enforcement, causing partial availability loss for concurrent inference requests. The root cause is vLLM's failure to classify DeepStream as a GPU backend subject to resource controls combined with an omitted pixel-limit check in the DeepStream decode path (CWE-400). …
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | Exploitation requires the vllm[deepstream] optional dependency (nvidia-deepstream-videodecode-cu13) to be explicitly installed on the server - it is not part of any default vLLM installation. … Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | The CVSS 4.0 score of 6.9 with vector AV:N/AC:L/AT:N/PR:N/UI:N/VA:L reflects a low-complexity, unauthenticated network attack with partial availability impact only. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | An attacker with unauthenticated network access to a vLLM API endpoint where the deepstream optional dependency is installed submits a crafted multimodal inference request specifying the DeepStream backend via the media-io-kwargs parameter, triggering lazy initialization of the process-wide GPU decode pool and submitting oversized or resource-intensive video content that bypasses pixel-limit controls. By issuing concurrent requests of this type, the attacker saturates the shared singleton decode pool, causing partial availability degradation for legitimate concurrent inference requests. … |
| Remediation | Upgrade to vLLM 0.27.0 or later, which adds pixel-limit enforcement to the DeepStream decode path and correctly registers DeepStream as a GPU backend subject to resource controls; the upstream fix is at commit e23b19309b8705b21c3b3ff4129c9974ba15a419 (https://github.com/vllm-project/vllm/commit/e23b19309b8705b21c3b3ff4129c9974ba15a419). … Detailed patch versions, workarounds, and compensating controls in full report. |
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Remote code execution in vLLM 0.10.1 through 0.13.x lets an attacker who controls the model repository or path run arbit
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vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Rated critical severity (CVSS 9.0)
Same weakness CWE-400 – Uncontrolled Resource Consumption
View allSame technique Denial Of Service
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External POC / Exploit Code
Leaving vuln.today
EUVD-2026-65457
GHSA-hw36-j4q7-vjxx