FastGPT is an AI Agent building platform. In versions prior to 4.14.9.5, the password-based login endpoint uses TypeScript type assertion without runtime validation, allowing an unauthenticated attacker to pass a MongoDB query operator object (e.g., {"$ne": ""}) as the password field. This NoSQL injection bypasses the password check, enabling login as any user including the root administrator. 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 4.14.10.3, the /api/core/app/mcpTools/runTool endpoint accepts arbitrary URLs without authentication. The internal IP check in isInternalAddress() only blocks private IPs when CHECK_INTERNAL_IP=true, which is not the default. This allows unauthenticated attackers to perform SSRF against internal network resources. This vulnerability is fixed in 4.14.10.3.
FastGPT is an AI Agent building platform. Prior to version 4.14.9.5, the FastGPT HTTP tools testing endpoint (/api/core/app/httpTools/runTool) is exposed without any authentication. This endpoint acts as a full HTTP proxy — it accepts a user-supplied baseUrl, toolPath, HTTP method, custom headers, and body, then makes a server-side HTTP request and returns the complete response to the caller. This issue has been patched in version 4.14.9.5.
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.
CVE-2026-32128 is a medium severity vulnerability affecting FastGPT versions 4.14.7 and earlier. It arises from incomplete input filtering in FastGPT's Python Sandbox, allowing attackers to bypass file write restrictions by remapping stdout to an arbitrary writable file descriptor using fcntl. This bypass enables arbitrary file creation or overwriting inside the sandbox container despite intended protections. Exploitation requires low privileges but no user interaction and can impact confidentiality, integrity, and availability within the sandbox environment. No known exploits are currently reported in the wild. Organizations using FastGPT AI Agent building platform should prioritize patching or mitigating this vulnerability to prevent potential sandbox escape or unauthorized file manipulation. The vulnerability is relevant globally but especially critical in countries with significant AI development and deployment using FastGPT. The CVSS score is 6.
FastGPT is an AI Agent building platform. Due to the fact that FastGPT's web page acquisition nodes, HTTP nodes, etc.need to initiate data acquisition requests from the server, there are certain security issues. In addition to implementing internal network isolation in the deployment environment, this optimization has added stricter internal network address detection. This vulnerability is fixed in 4.14.7.
FastGPT is an AI Agent building platform. From 4.14.0 to 4.14.5, attackers can directly access the plugin system through FastGPT/api/plugin/xxx without authentication, thereby threatening the plugin system. This may cause the plugin system to crash and the loss of plugin installation status, but it will not result in key leakage. For older versions, as there are only operation interfaces for obtaining information, the impact is almost negligible. This vulnerability is fixed in 4.14.5-fix.
FastGPT is an AI Agent building platform. Prior to version 4.11.1, in the workflow file reading node, the network link is not security-verified, posing a risk of SSRF attacks. This issue has been patched in version 4.11.1.
FastGPT is an AI Agent building platform. Prior to version 4.9.12, the LastRoute Parameter on login page is vulnerable to open redirect and DOM-based XSS. Improper validation and lack of sanitization of this parameter allows attackers execute malicious JavaScript or redirect them to attacker-controlled sites. This issue has been patched in version 4.9.12.
FastGPT is an open-source project that provides a platform for building, deploying, and operating AI-driven workflows and conversational agents. The Sandbox container (fastgpt-sandbox) is a specialized, isolated environment used by FastGPT to safely execute user-submitted or dynamically generated code in isolation. The sandbox before version 4.9.11 has insufficient isolation and inadequate restrictions on code execution by allowing overly permissive syscalls, which allows attackers to escape the intended sandbox boundaries. Attackers could exploit this to read and overwrite arbitrary files and bypass Python module import restrictions. This is patched in version 4.9.11 by restricting the allowed system calls to a safer subset and additional descriptive error messaging.
Laf is a cloud development platform. In the Laf version design, the log uses communication with k8s to quickly retrieve logs from the container without the need for additional storage. However, in version 1.0.0-beta.13 and prior, this interface does not verify the permissions of the pod, which allows authenticated users to obtain any pod logs under the same namespace through this method, thereby obtaining sensitive information printed in the logs. As of time of publication, no known patched versions exist.