InternLM LMDeploy 0.9.0 through 0.18.0 contains an unauthenticated remote code execution vulnerability that allows
Source GCVE Database
Not known to be exploited · CVSS 9.3 Critical.
Data as of 30 Oct 2026, 20:20 UTC
Thin evidence
One scorer or none| CNA (VulnCheck) | CVSS 4.0 | 9.3 |
|---|---|---|
| CNA (VulnCheck) | CVSS 3.1 | 9.8 |
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:NExploitation evidence
Disclosed: evidence found.
CVE published 30 Oct 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 30 Oct 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| InternLMlmdeploy | Affected
| Fixed in– |
PyPIlmdeploypkg:pypi/lmdeployOther threats | Affected
| Fixed in– |
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
Until a fix is available, restrict access to the /update_weights endpoint and disable or isolate the vulnerable service to prevent exploitation.
Description
InternLM LMDeploy versions 0.9.0 through 0.18.0 have a critical unauthenticated remote code execution vulnerability. Attackers can send specially crafted pickled data to the /update_weights endpoint, which is deserialized without validation, allowing execution of arbitrary OS commands as the api_server process.
References
- nvd.nist.gov/vuln/detail/CVE-2026-119706 (opens in a new tab)
- github.com/InternLM/lmdeploy/issues/4698 (opens in a new tab)
- github.com/InternLM/lmdeploy/pull/4964 (opens in a new tab)
- github.com/InternLM/lmdeploy (opens in a new tab)
- github.com/InternLM/lmdeploy/blob/v0.18.0/lmdeploy/serve/openai/endpoints/management.py (opens in a new tab)
- github.com/InternLM/lmdeploy/blob/v0.18.0/lmdeploy/turbomind/turbomind.py (opens in a new tab)
- vulncheck.com/advisories/lmdeploy-0.9.0-through-0.18.0-unauthenticated-rce-via-update-weights-pickle-deserialization (opens in a new tab)