- CVSS
- HIGH · 7.5v3.1CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
- Published
- 2025-09-22
- Weakness
- CWE-918
- Source
- nvd.nist.gov/vuln/detail/CVE-2025-59527
Description
Flowise is a drag & drop user interface to build a customized large language model flow. In version 3.0.5, a Server-Side Request Forgery (SSRF) vulnerability was discovered in the /api/v1/fetch-links endpoint of the Flowise application. This vulnerability allows an attacker to use the Flowise server as a proxy to access internal network web services and explore their link structures. This issue has been patched in version 3.0.6.
References
- https://github.com/FlowiseAI/Flowise/blob/5930f1119c655bcf8d2200ae827a1f5b9fec81d0/packages/components/src/utils.ts#L474-L478
- https://github.com/FlowiseAI/Flowise/blob/5930f1119c655bcf8d2200ae827a1f5b9fec81d0/packages/server/src/controllers/fetch-links/index.ts#L6-L24
- https://github.com/FlowiseAI/Flowise/blob/5930f1119c655bcf8d2200ae827a1f5b9fec81d0/packages/server/src/services/fetch-links/index.ts#L8-L18
- https://github.com/FlowiseAI/Flowise/releases/tag/flowise%403.0.6
- https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-hr92-4q35-4j3m
How GTK Cyber trains on this
AI security training at GTK Cyber covers the LLM and ML-pipeline vulnerability classes that vulnerabilities like CVE-2025-59527 fall into. Our hands-on courses are taught by Charles Givre and other practitioners who break and defend production AI systems.