Description
LightLLM through 1.2.0 fails to validate image_url and audio_url parameters in multimodal endpoints, allowing unauthenticated attackers to perform server-side request forgery. Attackers can supply arbitrary URLs to fetch internal resources, with vision model processing disclosing content or error responses revealing internal network topology.
References6
- github.com/ModelTC/LightLLM
- github.com/ModelTC/LightLLM/issues/1608
- github.com/ModelTC/lightllm/blob/v1.2.0/lightllm/server/multimo…
- github.com/ModelTC/lightllm/blob/v1.2.0/lightllm/utils/multimod…
- www.vulncheck.com/advisories/lightllm-through-1.2.0-server-side…
- github.com/ModelTC/LightLLM/issues/1608
Metrics
- CVSS 3.1
-
5.8
MEDIUM
Score source: CNA
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:N/A:N - CVSS 4.0
-
6.9
MEDIUM
Score source: CNA
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:L/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
- 0% percentile: 24 · as of 10 November 2026
- CWE
- CWE-918
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