CVE-2024-9052Critical· 9.8▾ MidnightvLLM deserialization vulnerability in vllm.distributed.GroupCoordinator.recv_object
▾ Midnight zone — Critical, or high with PoC / in-the-wild
impact 53.9 · likelihood 0 · exploitation 0
Need a working PoC? Pro members can cast a request and our team develops one — it lands right here.
Disclosure to exploitation, from the record and what we observed since indexing it.
Disclosed via OSV
Last analysed / modified upstream
vllm-project vllm version 0.6.0 contains a vulnerability in the distributed training API. The function vllm.distributed.GroupCoordinator.recv_object() deserializes received object bytes using pickle.loads() without sanitization, leading to a remote code execution vulnerability.
Note that vLLM does NOT use the code as described in the report on huntr. The problem only exists if you use these internal APIs in a way that exposes them to a network as described. The vllm team was not involved in the analysis of this report and the decision to assign it a CVE.
vllm <= 0.8.1Refer to the advisory for the patched release.
Connected by shared product, vendor, weakness, or advisory.
CVE-2026-69147Medium· 6.5vLLM is an inference and serving engine for large language models
CVE-2026-57173Medium· 6.5vLLM is an inference and serving engine for large language models
CVE-2026-73558Medium· 5.3vLLM is an inference and serving engine for large language models
CVE-2026-73560Medium· 6.5vLLM is an inference and serving engine for large language models
CVE-2026-71486Medium· 4.3vLLM is an inference and serving engine for large language models
CVE-2026-73555Medium· 5.3vLLM is an inference and serving engine for large language models