Flowiseai: community verdicts

Flowise before 3.1.2 contains multiple OS command injection vulnerabilities in the Custom MCP Server feature due to incomplete command-flag validation and a regex bypass in local file access restrictions. An attacker with a Flowise account of any role, or API access with view/update permissions for chatflows, can configure a malicious MCP server to bypass the validateCommandFlags blocklist (for example, 'docker build' is not blocked, and 'npx --yes' is not blocked while only '-y' is) and the validateArgsForLocalFileAccess checks, resulting in execution of arbitrary commands on the Flowise host.

Flowise before 3.1.0 (versions 3.0.13 and earlier) contains a missing authentication vulnerability in the /api/v1/loginmethod endpoint that allows unauthenticated users to retrieve an organization's complete SSO configuration, including OAuth client secrets in cleartext, by providing an organizationId parameter. Remote attackers can send a GET request to harvest sensitive API credentials for Google, Microsoft/Azure, GitHub, and Auth0 integrations. This affects FlowiseAI Cloud and self-hosted instances where the endpoint is exposed.

Flowise through 2.2.7 contains a SQL injection vulnerability in the importChatflows API. Due to insufficient validation of the chatflow.id value, an authenticated user can supply a crafted JSON import file whose id field is concatenated unsanitized into a SQL IN clause, allowing arbitrary SQL to be executed, including blind and error-based extraction of data from the credential table.

Flowise before 3.0.10 (affected versions 3.0.7 and earlier) contains an unverified email change vulnerability. An authenticated user can change the account email address, used as a login identifier and password-recovery channel, via the account profile endpoint without confirming the change to the original email address or re-entering the current password. By changing the recovery email, an attacker can take over the account and abuse password reset mechanisms.

Flowise before 3.1.2 contains an information disclosure vulnerability in the /api/v1/chatflows/apikey/:apikey endpoint. When the keyonly query parameter is omitted (the default), the endpoint returns not only the chatflows bound to the supplied API key but also all chatflows across every workspace that have no API key assigned, because the underlying query lacks any workspace filter. An attacker with a valid API key for one workspace can therefore retrieve the full ChatFlow configuration (including flowData with system prompts and node configurations, chatbotConfig, apiConfig, and credential IDs) of unprotected chatflows belonging to other workspaces.

Flowise before 3.0.8 contains a cross-site scripting (XSS) vulnerability caused by insufficient input filtering in chat messages and custom agent functions. An attacker can inject malicious JavaScript by sending an iframe payload (e.g., <iframe src="javascript:alert(document.cookie)">) in a chat box, or by having a custom agent function return an XSS payload from an external website. The injected script executes in the victim's browser, enabling theft of cookies and session data.

Flowise before 3.1.0 (npm package flowise, versions 3.0.13 and earlier) uses a weak hardcoded default value 'Secre$t' for the TOKEN_HASH_SECRET environment variable in packages/server/src/enterprise/utils/tempTokenUtils.ts when the variable is not configured. This secret derives the AES-256-CBC key used to encrypt user IDs and workspace IDs in the 'meta' field of JWT tokens. An attacker who knows the default secret can decrypt this metadata to extract internal user and workspace identifiers, and re-encrypt manipulated values such as altered user or workspace IDs. Because the JWT signature is validated separately, decrypting or tampering with this metadata does not by itself grant access, but the disclosure of internal identifiers and possible metadata manipulation could aid privilege escalation or unauthorized data access.

Flowise before 3.0.13 uses bcrypt with default salt rounds of 5, providing only 32 iterations instead of the OWASP-recommended minimum of 10 rounds. Attackers can crack password hashes approximately 30 times faster with modern GPU hardware, potentially compromising all user accounts in a database breach scenario.