CVE-2026-93436
vLLM through 0.29.0 Memory Exhaustion via Rejected Requests
CVSS Score
7.5
EPSS Score
0.0%
EPSS Percentile
0th
vLLM through 0.29.0 fails to properly clean up decode-side metadata for rejected inference requests in prefill/decode disaggregated deployments. Remote attackers can submit requests with max_tokens=0 to exhaust decode-worker memory without bound until the worker restarts.
| CWE | CWE-401 |
| Vendor | vllm-project |
| Product | vllm |
| Published | Sep 17, 2026 |
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CVSS v3 Breakdown
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High
Affected Versions
vllm-project / vllm
0 ≤ 0.29.0
References
github.com: https://github.com/vllm-project/vllm/pull/55677 github.com: https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/v1/nixl/push_worker.py#L162-L181 github.com: https://github.com/vllm-project/vllm vulncheck.com: https://www.vulncheck.com/advisories/vllm-through-0.29.0-memory-exhaustion-via-rejected-requests
Credits
🔍 Jiapeng Li 🔍 Jiajia Liu