Fastgpt vulnerabilities

FastGPT is an AI Agent building platform. In versions prior to 4.14.9.5, the password change endpoint is vulnerable to NoSQL injection. An authenticated attacker can bypass the "old password" verification by injecting MongoDB query operators. This allows an attacker who has gained a low-privileged session to change the password of their account (or others if combined with ID manipulation) without knowing the current one, leading to full account takeover and persistence. This issue has been fixed in version 4.14.9.5.

FastGPT is an AI Agent building platform. Prior to 4.14.10.4, Broken Access Control vulnerability (IDOR/BOLA) allows any authenticated team to access and execute applications belonging to other teams by supplying a foreign appId. While the API correctly validates the team token, it does not verify that the requested application belongs to the authenticated team. This leads to cross-tenant data exposure and unauthorized execution of private AI workflows. This vulnerability is fixed in 4.14.10.4.

FastGPT is an AI Agent building platform. Prior to version 4.14.9.5, FastGPT's MCP (Model Context Protocol) tools endpoints (/api/core/app/mcpTools/getTools and /api/core/app/mcpTools/runTool) accept a user-supplied URL parameter and make server-side HTTP requests to it without validating whether the URL points to an internal/private network address. Although the application has a dedicated isInternalAddress() function for SSRF protection (used in other endpoints like the HTTP workflow node), the MCP tools endpoints do not call this function. An authenticated attacker can use these endpoints to scan internal networks, access cloud metadata services, and interact with internal services such as MongoDB and Redis. This issue has been patched in version 4.14.9.5.

FastGPT is an AI Agent building platform. In versions 4.14.8.3 and below, the fastgpt-preview-image.yml workflow is vulnerable to arbitrary code execution and secret exfiltration by any external contributor. It uses pull_request_target (which runs with access to repository secrets) but checks out code from the pull request author's fork, then builds and pushes Docker images using attacker-controlled Dockerfiles. This also enables a supply chain attack via the production container registry. A patch was not available at the time of publication.