Total
128 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2026-69264 | 1 Flowiseai | 1 Flowise | 2026-09-14 | N/A | 9.8 CRITICAL |
| Prior to 3.1.3, Flowise CSVAgent interpolates an attacker-controlled segment of the csvFile data URI directly into a Python source-code template that is then executed by Pyodide. Because Pyodide is loaded with the default js bridge to globalThis, which on Node.js exposes eval and dynamic import, the attacker can break out of the Python string literal, hand a JavaScript string to js.eval, dynamically import Node built-in modules such as fs and child_process, and execute arbitrary file I/O or OS commands as the Flowise process. The two validator paths around this code, validatePythonCodeForDataFrame and validateCustomReadCSVFunction, are never applied to the bootstrap template. A workspace user with chatflows:create or agentflows/chatflows update permission can plant a CSV Agent node with a crafted csvFile; once the chatflow is exposed via POST /api/v1/prediction/:id, any unauthenticated request triggers host remote code execution. This issue is fixed in version 3.1.3. | |||||
| CVE-2026-70470 | 1 Flowiseai | 1 Flowise | 2026-09-14 | N/A | 9.8 CRITICAL |
| Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, Flowise validatePythonCodeForDataFrame in packages/components/src/pythonCodeValidator.ts can be bypassed with Unicode homoglyph identifiers, allowing arbitrary Python execution inside Pyodide and full OS command execution on the Flowise host via Pyodide js module interop. The validator gates pyodide.runPythonAsync in packages/components/nodes/agents/CSVAgent/CSVAgent.ts and packages/components/nodes/agents/AirtableAgent/AirtableAgent.ts with an ASCII word-boundary blacklist. JavaScript regex word boundaries are ASCII-only, while Python 3 NFKC-normalizes identifiers at parse time, so homoglyph forms such as __cl𝐚ss__, __subcl𝐚sses__, __b𝐚se__, and __b𝐮iltins__ bypass the blacklist and are parsed as their ASCII equivalents. This issue is fixed in version 3.1.3. | |||||
| CVE-2026-70471 | 1 Flowiseai | 1 Flowise | 2026-09-14 | N/A | 6.5 MEDIUM |
| Flowise is a drag-and-drop user interface for building customized large language model (LLM) flows. Prior to 3.1.3, Flowise injects $vars into the code execution sandbox without requiring variables:view, bypassing the permission-protected Variables API. Variables for the active workspace are fetched at packages/components/src/utils.ts and runtime variables are resolved from server environment variables, while the official variables route enforces variables:view. A user or API key that is denied variables:view can call /api/v1/node-custom-function and receive $vars pre-populated with all variables for the workspace, including Variable.name to Variable.value static variables and Variable.name to process.env[Variable.name] runtime variables. This can expose secrets such as database passwords, JWT secrets, SMTP passwords, and cloud keys, depending on the workspace Variables configuration. This issue is fixed in version 3.1.3. | |||||
| CVE-2026-70472 | 1 Flowiseai | 1 Flowise | 2026-09-14 | N/A | 8.8 HIGH |
| Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, Flowise openai-assistants-vector-store endpoints accept a client-controlled credential parameter and load credentials by id without checking whether that credential belongs to the caller workspace. Route permissions assistants:* only check feature access. The controller passes req.query.credential straight to the service, and the service uses findOneBy({ id: credentialId }), decrypts the credential, and calls OpenAI APIs without a workspaceId check. If an attacker knows another workspace credentialId, the attacker can use that workspace OpenAI key, read, modify, or delete victim vector stores and files, cause billing impact on the victim OpenAI account, and violate multi-tenant boundaries. This issue is fixed in version 3.1.3. | |||||
| CVE-2026-70478 | 1 Flowiseai | 1 Flowise | 2026-09-11 | N/A | 10.0 CRITICAL |
| Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the POST /api/v1/oauth2-credential/refresh/:credentialId endpoint is included in WHITELIST_URLS and requires no authentication. The endpoint decrypts the stored credential, sends a refresh request to the configured OAuth provider with the client secret and refresh token, and returns the refreshed access_token in the response body. An attacker with a credential ID can use the token to access the victim's connected service and can also exhaust refresh-token quota. This issue is fixed in 3.1.3. | |||||
| CVE-2026-70477 | 1 Flowiseai | 1 Flowise | 2026-09-11 | N/A | 9.8 CRITICAL |
| Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, a prompt injection sent to a chatflow using a CSV Agent node can cause the LLM to respond with a malicious Python script that bypasses the blocklist validator and executes in an unsandboxed Pyodide environment. The specific flaw exists within the run method of the CSV_Agents class, where untrusted data is used to construct an LLM prompt and the resulting pythonCode is validated by validatePythonCodeForDataFrame before execution. An attacker can leverage this to execute arbitrary code in the context of the service account. This issue is fixed in 3.1.3. | |||||
| CVE-2026-70476 | 1 Flowiseai | 1 Flowise | 2026-09-11 | N/A | 8.2 HIGH |
| Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, several organization billing endpoints in packages/server/src/enterprise/routes/organization.route.ts and packages/server/src/enterprise/controllers/organization.controller.ts accept attacker-controlled Stripe subscriptionId values without verifying that the identifier belongs to the authenticated user's organization. An authenticated attacker can perform unauthorized Stripe subscription operations on other tenants, including changing subscription plans or modifying seat quantities, resulting in financial impact and service disruption. This issue is fixed in 3.1.3. | |||||
| CVE-2026-70475 | 1 Flowiseai | 1 Flowise | 2026-09-11 | N/A | 6.5 MEDIUM |
| Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the PUT /api/v1/executions/:id endpoint in packages/server/src/routes/executions/index.ts lacks the checkAnyPermission() middleware that protects other execution endpoints. Any authenticated user, regardless of assigned permissions, can modify execution state, data, and metadata of any execution in their workspace, enabling privilege escalation and manipulation of workflow execution results. This issue is fixed in 3.1.3. | |||||
| CVE-2026-70474 | 1 Flowiseai | 1 Flowise | 2026-09-11 | N/A | 8.1 HIGH |
| Flowise is a drag-and-drop user interface for building customized large language model (LLM) flows. Prior to 3.1.3, Flowise has three OAuth2 credential endpoints that look up credentials by id alone with no workspaceId filter. The authorize, callback, and refresh handlers query the Credential table by id only; callback and refresh are whitelisted from authentication. This allows any authenticated user to initiate OAuth2 flows against credentials belonging to other workspaces, allows an unauthenticated attacker to forge OAuth2 callbacks to overwrite tokens in any credential, and allows an unauthenticated attacker to refresh tokens for any credential. The affected routes include /api/v1/oauth2-credential/authorize/<VICTIM_CREDENTIAL_UUID>, /api/v1/oauth2-credential/callback?code=ATTACKER_AUTH_CODE&state=<VICTIM_CREDENTIAL_UUID>, and /api/v1/oauth2-credential/refresh/<VICTIM_CREDENTIAL_UUID>. This issue is fixed in version 3.1.3. | |||||
| CVE-2026-70473 | 1 Flowiseai | 1 Flowise | 2026-09-11 | N/A | 8.5 HIGH |
| Flowise is a drag-and-drop user interface for building customized large language model (LLM) flows. Prior to 3.1.3, Flowise GET /api/v1/upsert-history returns the entire server-wide upsert history instead of being scoped to the requesting user, tenant, or workspace. The response can exceed 100MB and includes sensitive configuration data, including Vector Store settings such as Qdrant Server URL and collection name. The observed behavior indicates missing or insufficient authorization checks, workspace/project/tenant isolation, and pagination or limits, exposing integration parameters and infrastructure details that may enable further targeted attacks. This issue is fixed in version 3.1.3. | |||||
| CVE-2026-73604 | 1 Flowiseai | 1 Flowise | 2026-09-04 | N/A | 6.5 MEDIUM |
| Flowise before 3.1.3 contains an incomplete credential redaction vulnerability in the GET /api/v1/credentials/:id endpoint that returns decrypted secrets in plaintext. Authenticated users with credentials:view permission can retrieve sensitive data including database connection URLs with embedded passwords, cloud service account JSON with private keys, and API keys by calling this endpoint. | |||||
| CVE-2026-73603 | 1 Flowiseai | 1 Flowise | 2026-09-04 | N/A | 5.3 MEDIUM |
| Flowise before 3.1.4 fails to validate chatflow visibility in the unauthenticated text-to-speech endpoint, allowing attackers to abuse private chatflow TTS credentials. Unauthenticated attackers can generate unlimited text-to-speech audio using stored OpenAI or ElevenLabs API keys by providing a valid chatflow UUID, incurring costs on the chatflow owner's account. | |||||
| CVE-2026-73602 | 1 Flowiseai | 1 Flowise | 2026-09-04 | N/A | 9.9 CRITICAL |
| Flowise before 3.1.3 contains a sandbox escape vulnerability in the vm2 JavaScript sandbox that allows authenticated users to execute arbitrary code by exploiting moment locale validation bypass. Attackers can craft a fake String object with a match function that bypasses path traversal checks to load and execute malicious JavaScript files stored in the document store outside the sandbox. | |||||
| CVE-2026-73601 | 1 Flowiseai | 1 Flowise | 2026-09-04 | N/A | 8.8 HIGH |
| Flowise versions before 3.1.3 contain a remote code execution vulnerability in the Custom MCP node when CUSTOM_MCP_PROTOCOL is set to stdio, allowing authenticated users to execute arbitrary commands by manipulating environment variables and command arguments. Attackers can abuse PYTHONWARNINGS and BROWSER environment variables with python3, or leverage the root working directory with node to bypass validation and execute system commands. | |||||
| CVE-2026-67620 | 1 Flowiseai | 1 Flowise | 2026-09-04 | N/A | 7.7 HIGH |
| Flowise through 3.1.4 contains a server-side request forgery vulnerability in the SSRF guard implemented in httpSecurity.ts, where the DEFAULT_DENY_LIST omits the Oracle Cloud Infrastructure metadata endpoint 192.0.0.192 and the Alibaba Cloud metadata endpoint 100.100.100.200, allowing authenticated attackers to force the server to issue arbitrary GET requests to cloud instance metadata services. Attackers can send requests to the fetch-links API endpoint with a crafted URL parameter, bypassing deny-list validation including redirect-based bypasses, to reach instance metadata services and expose instance identity data and role credentials on Oracle Cloud Infrastructure or Alibaba Cloud deployments, with unauthenticated access possible when URL-fetching nodes exist in public chatflows. | |||||
| CVE-2026-71962 | 1 Flowiseai | 1 Flowise | 2026-09-04 | N/A | 7.5 HIGH |
| Flowise versions 2.2.4 through 3.1.4 contain a missing authorization vulnerability in the POST /api/v1/openai-assistants-file/download endpoint that allows unauthenticated attackers to access private files by exploiting the endpoint's inclusion in the global authentication whitelist, which bypasses all session and API key verification. Attackers can supply valid chatflowId, chatId, and fileName identifiers to retrieve files from any chatflow on the instance, including private chatflows belonging to other workspaces or organizations. | |||||
| CVE-2026-73483 | 1 Flowiseai | 1 Flowise | 2026-09-03 | N/A | 8.8 HIGH |
| Flowise (packages flowise and flowise-components) in versions <= 3.1.2 contain a sandbox escape in the vm2/@flowiseai/nodevm JavaScript sandbox. An authenticated user with access to the /api/v1/node-custom-function endpoint can escape the sandbox by supplying attacker-controlled executablePath and args parameters to puppeteer.launch(), which internally invokes child_process.spawn() outside the sandbox boundary. This allows execution of arbitrary OS commands as the Flowise process user (root in the official Docker image) and arbitrary host file disclosure via Chromium's file:// URL handling. In versions 3.0.8–3.1.2 exploitation requires ALLOW_BUILTIN_DEP=true; earlier versions are exploitable by default. Fixed in 3.1.3. | |||||
| CVE-2026-73484 | 1 Flowiseai | 1 Flowise | 2026-09-03 | N/A | 8.1 HIGH |
| Flowise before 3.1.3 contains a sandbox escape vulnerability in pythonCodeValidator.ts that fails to block native Pandas DataFrame methods like to_csv, to_json, pipe, and query. Authenticated attackers can exploit this to exfiltrate uploaded CSV data or write arbitrary files to the server filesystem. | |||||
| CVE-2026-73485 | 1 Flowiseai | 1 Flowise | 2026-09-03 | N/A | 8.8 HIGH |
| Flowise before 3.1.3 contains a code injection vulnerability in the Airtable Agent node that allows unauthenticated attackers to execute arbitrary Python code by bypassing the pythonCodeValidator blocklist through obfuscation techniques. Attackers can send crafted prompts to a chatflow using the Airtable Agent node to inject malicious Python code that executes in an unsandboxed pyodide environment with full access to the host operating system. | |||||
| CVE-2026-73486 | 1 Flowiseai | 1 Flowise | 2026-09-03 | N/A | 8.8 HIGH |
| Flowise before 3.1.3 contains a code injection vulnerability in the CSV Agent node's customReadCSV parameter that allows authenticated attackers to execute arbitrary Python code. The validator uses a static regex blocklist that can be bypassed through obfuscation techniques, enabling attackers to execute code in the unsandboxed pyodide environment with full system access. | |||||