EUVD-2026-41914Severity by source
AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Network-reachable via HTTP API; requires authenticated low-privilege credentials (PR:L); no confidentiality or integrity impact, only availability exhaustion via uncontrolled memory allocation.
Primary rating from Vendor (GitHub_M).
CVSS VectorVendor: GitHub_M
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Lifecycle Timeline
2Blast Radius
ecosystem impact- 1 pypi packages depend on vllm (1 direct, 0 indirect)
Ecosystem-wide dependent count for version 0.22.0.
DescriptionCVE.org
vLLM is an inference and serving engine for large language models. From 0.22.0 to 0.23.0, the /v1/audio/transcriptions and /v1/audio/translations routes call request.file.read() to fully materialize an uploaded audio file into memory before vLLM checks the documented VLLM_MAX_AUDIO_CLIP_FILESIZE_MB compressed upload size limit (default 25 MB) later in the speech-to-text preprocessing step, so an API caller who can reach those routes can submit an oversized multipart upload and cause vLLM to allocate memory proportional to the uploaded file size before the request is rejected as too large, creating memory pressure or terminating the process depending on deployment resource limits. This issue is fixed in version 0.24.0.
AnalysisAI
Memory exhaustion in vLLM 0.22.0-0.23.0 allows authenticated API callers to crash or destabilize the inference server by uploading arbitrarily large audio files. The /v1/audio/transcriptions and /v1/audio/translations endpoints invoke request.file.read() to fully buffer multipart uploads into process memory before the VLLM_MAX_AUDIO_CLIP_FILESIZE_MB size guard is evaluated, meaning the size limit is checked only after the damage is done. …
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | Exploitation requires network access to the vLLM API server and valid API credentials granting at least low-privilege access (confirmed by CVSS PR:L). … Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | The CVSS 3.1 score of 6.5 (Medium) accurately reflects the threat profile: network-reachable (AV:N), trivially low complexity (AC:L), but gated behind low-privilege authentication (PR:L), with impact limited entirely to availability (A:H, C:N, I:N). … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | An attacker with low-privilege vLLM API credentials (e.g., a shared API key from an internal inference platform) sends a multipart POST to `/v1/audio/transcriptions` containing a multi-gigabyte file payload. Before any size validation runs, vLLM's request handler calls `request.file.read()`, allocating gigabytes of heap memory in the inference server process. … |
| Remediation | The primary remediation is upgrading to vLLM 0.24.0, where the fix is confirmed in commit b997071ec493765abbed990c65843ed05e4708a8 (see https://github.com/vllm-project/vllm/commit/b997071ec493765abbed990c65843ed05e4708a8) and pull request https://github.com/vllm-project/vllm/pull/45510. … Detailed patch versions, workarounds, and compensating controls in full report. |
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Same weakness CWE-400 – Uncontrolled Resource Consumption
View allSame technique Denial Of Service
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External POC / Exploit Code
Leaving vuln.today