CVE-2026-76850: critical vulnerability in InternLM lmdeploy
LMDeploy Remote Code Execution via Unsafe Pickle Deserialization in the Disaggregated Serving Peer Connector
Published · Updated
28Vexday Risk Score
No sign of exploitation. No public exploitation artifact known so far.
ssvc Trackcvss 9.3epss 1.3%
exploitation probability
1.3%top 31% of all CVEs
observed exploitation
nono source reports it
LMDeploy deserializes disaggregated-serving peer messages with pickle. The handle_zmq_recv coroutine in lmdeploy/pytorch/disagg/conn/engine_conn.py reads peer-to-peer cache-free requests with recv_pyobj(), which deserializes the received bytes with pickle.loads(), and the isinstance check against DistServeCacheFreeRequest runs only after deserialization has already completed. The peer that supplies those bytes is caller-controlled: p2p_connect passes remote_engine_endpoint_info.zmq_address from the request body to connect() on the ZMQ PULL socket, and the POST /distserve/p2p_initialize and /distserve/p2p_connect endpoints in lmdeploy/serve/openai/api_server.py apply no authentication unless the server is started with api_keys, which defaults to None. A remote attacker can direct an engine to pull from a ZMQ endpoint under their control and execute arbitrary code in the engine process. Deployments that do not enable disaggregated serving are not affected, because the receive loop is only started once the migration backend accepts the connection.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
Affected products
InternLM · lmdeployRelated CVEs — InternLM lmdeploy
In the same product, most dangerous first.
CVE-2026-33626HIGHLMDeploy Vulnerable to Server-Side Request Forgery (SSRF) via Vision-Language Image LoadingEPSS 1.5%CVE-2025-59953CRITICALLMdeploy has Remote Code Execution by Pickle Deserialization via zmq_rpc.call_and_response() in InterLM/lmdeployEPSS 0.8%CVE-2026-92971HIGHInternLM LMDeploy through 0.17.0 Assertion Denial of ServiceEPSS 0.7%CVE-2025-66455CRITICALLMDeploy has Remote Code Execution by Pickle Deserialization via handle_zmq_recv in lmdeploy/lmdeploy/pytorch/disagg/conn/engine_conn.pyEPSS 0.7%CVE-2026-92983HIGHInternLM LMDeploy through 0.17.0 Memory Exhaustion via Session ID MismatchEPSS 0.7%CVE-2025-67729HIGHlmdeploy vulnerable to Arbitrary Code Execution via Insecure Deserialization in torch.load()EPSS 0.6%
References
https://github.com/InternLM/lmdeployhttps://github.com/InternLM/lmdeploy/blob/v0.15.0/lmdeploy/pytorch/disagg/conn/engine_conn.py#L61https://github.com/InternLM/lmdeploy/blob/v0.15.0/lmdeploy/pytorch/disagg/conn/engine_conn.py#L79https://github.com/InternLM/lmdeploy/commit/f05b4ad8bf2e2d84101a1d63b3c44fadd99223b2https://github.com/InternLM/lmdeploy/issues/4804https://github.com/InternLM/lmdeploy/releases/tag/v0.16.0https://www.vulncheck.com/advisories/lmdeploy-remote-code-execution-via-unsafe-pickle-deserialization-in-the-disaggregated-serving-peer-connector