Machine-written summary
Summary written by Claude Haiku from the source advisory. Not reviewed by a person.
LMDeploy versions up to and including 0.12.2 are affected by a server-side request forgery in the vision-language image loading code, where URLs are fetched without checking for internal or private addresses. An attacker who can send requests to a deployed server with a vision-language model can make it fetch internal resources, such as cloud metadata services, and so reach data not exposed to the internet. The source lists no fixed version, though it states that versions prior to 0.12.3 are affected.
Not analysed yet
We haven’t published our analysis of this Advisory yet. Once a person has reviewed it, this page will say what’s vulnerable, what has to be true for your app to be affected, and how to check.
Severity and exploitation
| Score | Rating | CVSS | Vector | Source |
|---|---|---|---|---|
| 7.5 | High | 3.1 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N | CNA (GitHub_M) |
- CISA KEV Not listed.
- EPSS 0.45, the 98th percentile, on 14 Nov 2026: FIRST’s estimate of the chance of exploitation in the next 30 days.
Timeline
- 31 Oct 2026, 14:59 UTC First seen by agentprime
- 31 Oct 2026, 14:59 UTC Confirmed by OSV
Sources
- GitHub Advisory Database: GHSA-6w67-hwm5-92mq
- OSV: GHSA-6w67-hwm5-92mq
- github.com/InternLM/lmdeploy/security/advisories/GHSA-6w67-hwm5-92mq
- nvd.nist.gov/vuln/detail/CVE-2026-33626
- github.com/InternLM/lmdeploy/pull/4447
- github.com/InternLM/lmdeploy/commit/71d64a339edb901e9005358e0633fbbab367d626
- github.com/InternLM/lmdeploy
- github.com/InternLM/lmdeploy/releases/tag/v0.12.3