Description
InternLM LMDeploy through 0.17.0 contains a reachable assertion vulnerability in the DistServe decode migration loop that allows unauthenticated attackers to terminate the inference engine. Attackers can submit a migration_request with an empty remote_block_ids list to trigger an AssertionError that crashes the engine loop and causes subsequent inference requests to fail.
References7
- github.com/InternLM/lmdeploy
- github.com/InternLM/lmdeploy/blob/v0.17.0/lmdeploy/pytorch/engi…
- github.com/InternLM/lmdeploy/blob/v0.17.0/lmdeploy/pytorch/util…
- github.com/InternLM/lmdeploy/blob/v0.17.0/lmdeploy/serve/openai…
- github.com/InternLM/lmdeploy/issues/4965
- www.vulncheck.com/advisories/internlm-lmdeploy-through-0.17.0-a…
- github.com/InternLM/lmdeploy/issues/4965
Metrics
- CVSS 3.1
-
7.5
HIGH
Score source: CNA
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H - CVSS 4.0
-
8.7
HIGH
Score source: CNA
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X - EPSS — exploit probability
- 1% percentile: 54 · as of 8 November 2026
- CWE
- CWE-617
Could this be exploited in your environment?
A patch closes the known hole. A penetration test shows what an attacker can still reach — with proof.