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.
CVE-2026-76850
Score 9.8 from GitHub Security Advisory (severity: CRITICAL) published 2026-08-20. the CNA's CVSS baseline 9.8; sources differ by 0.0.
- High severity, but no confirmed exploitation yet
No vendor fix yet — apply a workaround or compensating control (WAF / firewall / segmentation) and watch for a patch.
- CVSS v3
- 9.8
- EG Score
- 9.8(medium)
- EG Risk
- 75(Attend)EG Risk 75/100SSVC: Attend
EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).
How it’s computedSeverity98% × 45%Exploitation40% × 40%Automatability100% × 15%Action: Remediate soon — notable exploitation risk. - EPSS PROB
- 1%
- EPSS %ILE
- 61%
- KEV
- Not listed
Published
August 19, 2026
Last Modified
August 21, 2026
Advisory Details (7)
Auto-updated Sep 18, 2026LMDeploy Remote Code Execution via Unsafe Pickle Deserialization in the Disaggregated Serving Peer Connector | Advisories | VulnCheck
https://www.vulncheck.com/advisories/lmdeploy-remote-code-execution-via-unsafe-pickle-deserialization-in-the-disaggregated-serving-peer-connectorGitHub - InternLM/lmdeploy: LMDeploy is a toolkit for compressing, deploying, and serving LLMs. · GitHub
https://github.com/InternLM/lmdeployv0.16.0
Patch available: InternLM/lmdeploy v0.16.0
https://github.com/InternLM/lmdeploy/releases/tag/v0.16.0lmdeploy/lmdeploy/pytorch/disagg/conn/engine_conn.py at v0.15.0 · InternLM/lmdeploy · GitHub
https://github.com/InternLM/lmdeploy/blob/v0.15.0/lmdeploy/pytorch/disagg/conn/engine_conn.py#L61lmdeploy/lmdeploy/pytorch/disagg/conn/engine_conn.py at v0.15.0 · InternLM/lmdeploy · GitHub
https://github.com/InternLM/lmdeploy/blob/v0.15.0/lmdeploy/pytorch/disagg/conn/engine_conn.py#L79commit f05b4ad8bf2e (InternLM/lmdeploy)
Fix landed in InternLM/lmdeploy commit f05b4ad8bf2e — awaiting tagged release
https://github.com/InternLM/lmdeploy/commit/f05b4ad8bf2e2d84101a1d63b3c44fadd99223b2[Bug] Unauthenticated pickle deserialization via ZMQ in disaggregated serving → RCE · Issue #4804 · InternLM/lmdeploy · GitHub
https://github.com/InternLM/lmdeploy/issues/4804Vendor Advisories for CVE-2026-76850(1)
These vendors published their own advisory mentioning this CVE — often with vendor-specific remediation steps + affected product lists not in NVD.
Weakness Classification(1)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 50× in last 7d / 213× in last 30d)
Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.
Showing the most recent 100 of 239 total refreshes for this CVE.
- 2026-09-21 08:11 UTCGHSA enrichment
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Frequently asked(5)
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Dependency Blast Radius
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