Описание
vLLM Allows Remote Code Execution via Mooncake Integration
Summary
When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP will allow attackers to execute remote code on distributed hosts.
Details
- Pickle deserialization vulnerabilities are well documented.
- The mooncake pipe is exposed over the network (by design to enable disaggregated prefilling across distributed environments) using ZMQ over TCP, greatly increasing exploitability.
Further, the mooncake integration opens these sockets listening on all interfaces on the host, meaning it can not be configured to only use a private, trusted network.
Only sender_socket and receiver_ack are allowed to be accessed publicly, while the data actually decompressed by pickle.loads() comes from recv_bytes. Its interface is defined as self.receiver_socket.connect(f\"tcp://{d_host}:{d_rank_offset + 1}\"), where d_host is decode_host, a locally defined address 192.168.0.139,from mooncake.json (https://github.com/kvcache-ai/Mooncake/blob/main/doc/en/vllm-integration-v0.2.md?plain=1#L36).
- The root problem is
recv_tensor()calls_recv_implwhich passes the raw network bytes topickle.loads(). Additionally, it does not appear that there are any controls (network, authentication, etc) to prevent arbitrary users from sending this payload to the affected service.
Impact
This is a remote code execution vulnerability impacting any deployments using Mooncake to distribute KV across distributed hosts.
Remediation
This issue is resolved by https://github.com/vllm-project/vllm/pull/14228
Ссылки
- https://github.com/vllm-project/vllm/security/advisories/GHSA-x3m8-f7g5-qhm7
- https://nvd.nist.gov/vuln/detail/CVE-2025-29783
- https://github.com/vllm-project/vllm/pull/14228
- https://github.com/vllm-project/vllm/commit/288ca110f68d23909728627d3100e5a8db820aa2
- https://github.com/pypa/advisory-database/tree/main/vulns/vllm/PYSEC-2025-63.yaml
Пакеты
vllm
>= 0.6.5, < 0.8.0
0.8.0
Связанные уязвимости
vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP on all network interfaces will allow attackers to execute remote code on distributed hosts. This is a remote code execution vulnerability impacting any deployments using Mooncake to distribute KV across distributed hosts. This vulnerability is fixed in 0.8.0.
vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP on all network interfaces will allow attackers to execute remote code on distributed hosts. This is a remote code execution vulnerability impacting any deployments using Mooncake to distribute KV across distributed hosts. This vulnerability is fixed in 0.8.0.
vLLM is a high-throughput and memory-efficient inference and serving e ...