Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, a mass assignment vulnerability exists in the variable update endpoint of FlowiseAI. The endpoint allows authenticated users to modify server-controlled properties such as workspaceId, createdDate, and updatedDate when updating a variable resource. Due to missing server-side validation and authorization checks, an attacker can manipulate the workspaceId field and reassign variables to arbitrary workspaces. This behavior may break tenant isolation in multi-workspace environments. This issue has been patched in version 3.1.2.

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A vulnerability was detected in FlowiseAI Flowise up to 3.0.12. This affects the function verify of the file packages/server/src/enterprise/services/account.service.ts of the component Endpoint. Performing a manipulation results in information disclosure. Remote exploitation of the attack is possible. The attack is considered to have high complexity. It is indicated that the exploitability is difficult. The exploit is now public and may be used. Upgrading the affected component is recommended.

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A weakness has been identified in FlowiseAI Flowise up to 3.0.12. Affected by this vulnerability is an unknown functionality of the component User Controller Handler. This manipulation of the argument userId/organizationId/workspaceId/email causes authorization bypass. The attack may be initiated remotely. The affected component should be upgraded.

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A security flaw has been discovered in FlowiseAI Flowise up to 3.0.12. Affected is the function Login of the file packages/server/src/enterprise/services/account.service.ts of the component API Response Handler. The manipulation results in information disclosure. The attack can be launched remotely. A high complexity level is associated with this attack. The exploitability is told to be difficult. You should upgrade the affected component.

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Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, this vulnerability allows remote attackers to bypass authentication on affected installations of FlowiseAI Flowise. Authentication is not required to exploit this vulnerability. The specific flaw exists within the resetPassword method of the AccountService class. There is no check performed to ensure that a password reset token has actually been generated for a user account. By default the value of the reset token stored in a users account is null, or an empty string if they've reset their password before. An attacker with knowledge of the user's email address can submit a request to the "/api/v1/account/reset-password" endpoint containing a null or empty string reset token value and reset that user's password to a value of their choosing. This vulnerability is fixed in 3.1.0.

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Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the password reset functionality on cloud.flowiseai.com sends a reset password link over the unsecured HTTP protocol instead of HTTPS. This behavior introduces the risk of a man-in-the-middle (MITM) attack, where an attacker on the same network as the user (e.g., public Wi-Fi) can intercept the reset link and gain unauthorized access to the victim’s account. This vulnerability is fixed in 3.1.0.

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Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, a Server-Side Request Forgery (SSRF) vulnerability exists in FlowiseAI's POST/GET API Chain components that allows unauthenticated attackers to force the server to make arbitrary HTTP requests to internal and external systems. By injecting malicious prompt templates, attackers can bypass the intended API documentation constraints and redirect requests to sensitive internal services, potentially leading to internal network reconnaissance and data exfiltration. This vulnerability is fixed in 3.1.0.

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Flowise is a drag & drop user interface to build a customized large language model flow. A file upload vulnerability in version 3.0.7 of FlowiseAI allows authenticated users to upload arbitrary files without proper validation. This enables attackers to persistently store malicious Node.js web shells on the server, potentially leading to Remote Code Execution (RCE). The system fails to validate file extensions, MIME types, or file content during uploads. As a result, malicious scripts such as Node.js-based web shells can be uploaded and stored persistently on the server. These shells expose HTTP endpoints capable of executing arbitrary commands if triggered. The uploaded shell does not automatically execute, but its presence allows future exploitation via administrator error or chained vulnerabilities. This presents a high-severity threat to system integrity and confidentiality. As of time of publication, no known patched versions are available.

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Flowise is a drag & drop user interface to build a customized large language model flow. In version 3.0.5 and earlier, the `forgot-password` endpoint in Flowise returns sensitive information including a valid password reset `tempToken` without authentication or verification. This enables any attacker to generate a reset token for arbitrary users and directly reset their password, leading to a complete account takeover (ATO). This vulnerability applies to both the cloud service (`cloud.flowiseai.com`) and self-hosted/local Flowise deployments that expose the same API. Commit 9e178d68873eb876073846433a596590d3d9c863 in version 3.0.6 secures password reset endpoints. Several recommended remediation steps are available. Do not return reset tokens or sensitive account details in API responses. Tokens must only be delivered securely via the registered email channel. Ensure `forgot-password` responds with a generic success message regardless of input, to avoid user enumeration. Require strong validation of the `tempToken` (e.g., single-use, short expiry, tied to request origin, validated against email delivery). Apply the same fixes to both cloud and self-hosted/local deployments. Log and monitor password reset requests for suspicious activity. Consider multi-factor verification for sensitive accounts.

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FlowiseAI Flowise v2.2.6 was discovered to contain an arbitrary file upload vulnerability in /api/v1/attachments.

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An issue in FlowiseAI Inc Flowise v.1.6.2 and before allows a remote attacker to execute arbitrary code via a crafted script to the api/v1 component.

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