dmlc/dgl Vulnerable to Remote Code Execution by Pickle Deserialization via rpc.recv_request()
### Impact Dgl implements rpc server (start_server() in rpc_server.py) for supporting the RPC communications among different remote users over networks. It relies on pickle serialize and deserialize to pack and unpack network messages. The is a known risk in pickle deserialization functionality that can be used for remote code execution. ### Patches TBD. ### Workarounds When running DGL distributed training and inference (DistDGL) make sure you do not assign public IPs to any instance in the cluster. ### References Issue #7874 ### Reported by Pinji Chen ([cpj24@mails.tsinghua.edu.cn](mailto:cpj24@mails.tsinghua.edu.cn)) from NISL lab (htt
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