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| CVE | CVSS | EPSS | Vendor, product | Description | Modified |
|---|---|---|---|---|---|
| CVE-2026-69262 | 7.1 high | 1.0% | flowiseai, flowise | Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, `DELETE /api/v1/chatflows/:id` authorized requests with checkAnyPermission('chatflows:delete,agentflows:delete'), so possession of either permission was sufficient to reach the delete path. The delete logic then resolved the target record only by id and workspaceId and did not validate the target resource type, allowing a caller with only agentflows:delete to delete a CHATFLOW and a caller with only chatflows:delete to delete an AGENTFLOW in the same workspace. This issue is fixed in version 3.1.3. | Sat 24 Oct |
| CVE-2026-70472 | 7.1 high | 1.0% | flowiseai, flowise | 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. | Sat 24 Oct |
| CVE-2026-41267 | 9.8 critical | 0.00% | flowiseai, flowise | Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, an improper mass assignment (JSON injection) vulnerability in the account registration endpoint of Flowise Cloud allows unauthenticated attackers to inject server-managed fields and nested objects during account creation. This enables client-controlled manipulation of ownership metadata, timestamps, organization association, and role mappings, breaking trust boundaries in a multi-tenant environment. This vulnerability is fixed in 3.1.0. | Mon 26 Oct |
| CVE-2026-41269 | 8.8 high | 0.00% | flowiseai, flowise | Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the Chatflow configuration file upload settings can be modified to allow the application/javascript MIME type. This lets an attacker upload .js files even though the frontend doesn’t normally allow JavaScript uploads. This enables attackers to persistently store malicious Node.js web shells on the server, potentially leading to Remote Code Execution (RCE). This vulnerability is fixed in 3.1.0. | Mon 26 Oct |
| CVE-2026-41278 | 8.7 high | 0.00% | flowiseai, flowise | Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the GET /api/v1/public-chatflows/:id endpoint returns the full chatflow object without sanitization for public chatflows. Docker validation revealed this is worse than initially assessed: the sanitizeFlowDataForPublicEndpoint function does NOT exist in the released v3.0.13 Docker image. Both public-chatflows AND public-chatbotConfig return completely raw flowData including credential IDs, plaintext API keys, and password-type fields. This vulnerability is fixed in 3.1.0. | Mon 26 Oct |
| CVE-2025-71337 | 8.7 high | 0.00% | flowiseai, flowise | 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. | 12 Oct |
| CVE-2025-71328 | 8.7 high | 0.00% | flowiseai, flowise | Flowise before 3.0.10 contains an unverified password change vulnerability. An authenticated user can change their account password through the account settings (Security) section without supplying the current password or any additional verification, as the application does not enforce a current-password check on the credential change. This can lead to full account takeover, particularly if an attacker can hijack or coerce an authenticated session. | 12 Oct |
| CVE-2026-73484 | 8.6 high | 0.00% | flowiseai, flowise | 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. | Sat 24 Oct |
| CVE-2025-71335 | 8.6 high | 0.00% | flowiseai, flowise | Flowise before 3.0.10 (affected versions 3.0.7 and earlier) fails to invalidate existing sessions and session tokens after a user changes their password. An attacker who already holds an active session, for example via a stolen session token or a device left logged in, remains authenticated as the legitimate user even after the user rotates their credentials, undermining the security purpose of the password change. | 12 Oct |
| CVE-2026-67622 | 8.5 high | 0.00% | flowiseai, flowise | Flowise through 3.1.4 contains an insecure direct object reference vulnerability in the OpenAI Assistants integration that allows authenticated attackers to access credentials belonging to other workspaces by supplying an arbitrary credential UUID to Assistants endpoints without workspace ownership verification. Attackers can enumerate cross-workspace assistant metadata, retrieve file and vector store listings, and upload files into victim workspaces by exploiting the missing workspace-scoped authorization check in the credential lookup logic. | Sat 24 Oct |
| CVE-2026-41270 | 8.3 high | 0.00% | flowiseai, flowise | 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) protection bypass vulnerability exists in the Custom Function feature. While the application implements SSRF protection via HTTP_DENY_LIST for axios and node-fetch libraries, the built-in Node.js http, https, and net modules are allowed in the NodeVM sandbox without equivalent protection. This allows authenticated users to bypass SSRF controls and access internal network resources (e.g., cloud provider metadata services) This vulnerability is fixed in 3.1.0. | Mon 26 Oct |
| CVE-2026-41271 | 8.3 high | 0.00% | flowiseai, flowise | 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. | Mon 26 Oct |
| CVE-2026-70473 | 8.3 high | 0.00% | flowiseai, flowise | 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. | Sat 24 Oct |
| CVE-2026-41279 | 8.2 high | 0.00% | flowiseai, flowise | Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the text-to-speech generation endpoint (POST /api/v1/text-to-speech/generate) is whitelisted (no auth) and accepts a credentialId directly in the request body. When called without a chatflowId, the endpoint uses the provided credentialId to decrypt the stored credential (e.g., OpenAI or ElevenLabs API key) and generate speech. This vulnerability is fixed in 3.1.0. | Mon 26 Oct |
| CVE-2026-41273 | 7.7 high | 0.00% | flowiseai, flowise | Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, Flowise contains an authentication bypass vulnerability that allows an unauthenticated attacker to obtain OAuth 2.0 access tokens associated with a public chatflow. By accessing a public chatflow configuration endpoint, an attacker can retrieve internal workflow data, including OAuth credential identifiers, which can then be used to refresh and obtain valid OAuth 2.0 access tokens without authentication. This vulnerability is fixed in 3.1.0. | Mon 26 Oct |
| CVE-2026-69257 | 7.6 high | 0.00% | flowiseai, flowise | Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, Flowise's HTTP security module httpSecurity.ts did not normalize IPv4-mapped IPv6 addresses such as ::ffff:127.0.0.1 and ::ffff:169.254.169.254 before checking them against the deny list. Because ipaddr.js reports these addresses as ipv6 while IPv4 CIDR deny-list entries are ipv4, isDeniedIP() skipped the IPv4 CIDR checks. An attacker who controls DNS resolution for a hostname used by the HTTP Node, API Chain, Document Loader, MCP tool, or other paths using secureAxiosRequest(), secureFetch(), or checkDenyList() could return a AAAA record for an IPv4-mapped target and cause requests to reach localhost, internal services, or cloud metadata endpoints. This issue is fixed in version 3.1.3. | Sat 24 Oct |
| CVE-2026-70474 | 7.6 high | 0.00% | flowiseai, flowise | 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. | Sat 24 Oct |
| CVE-2026-41275 | 7.5 high | 0.00% | flowiseai, flowise | 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. | Mon 26 Oct |
| CVE-2026-67621 | 7.2 high | 0.00% | flowiseai, flowise | Flowise through 3.1.4 contains a missing authorization vulnerability that allows authenticated workspace members to perform unauthorized document store operations by accessing unprotected mutation endpoints. Attackers holding only view-level permissions can send direct HTTP requests to the upsert and refresh document store routes to trigger document ingestion, refresh vector database contents, consume embedding API credits, and modify knowledge bases used by downstream chatflows. | Sat 24 Oct |
| CVE-2026-41272 | 7.1 high | 0.00% | flowiseai, flowise | Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the core security wrappers (secureAxiosRequest and secureFetch) intended to prevent Server-Side Request Forgery (SSRF) contain multiple logic flaws. These flaws allow attackers to bypass the allow/deny lists via DNS Rebinding (Time-of-Check Time-of-Use) or by exploiting the default configuration which fails to enforce any deny list. This vulnerability is fixed in 3.1.0. | Mon 26 Oct |
| CVE-2026-73604 | 7.1 high | 0.00% | flowiseai, flowise | 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. | Sat 24 Oct |
| CVE-2026-70471 | 7.1 high | 0.00% | flowiseai, flowise | 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. | Sat 24 Oct |
| CVE-2026-70475 | 7.1 high | 0.00% | flowiseai, flowise | 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. | Sat 24 Oct |
| CVE-2026-8026 | 6.3 medium | 0.00% | flowiseai, flowise | 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. | Mon 26 Oct |
| CVE-2026-73603 | 6.3 medium | 0.00% | flowiseai, flowise | 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. | Sat 24 Oct |
| CVE-2025-29192 | 6.1 medium | 0.00% | flowiseai, flowise | Flowise before 3.0.5 allows XSS via a FORM element and an INPUT element when an admin views the chat log. | 9 Oct |
| CVE-2026-56275 | 6.0 medium | 0.00% | flowiseai, flowise | Flowise before 3.1.0 contains a server-side request forgery vulnerability in the Execute Flow node that allows attackers to bypass security validation by providing intranet addresses through the base URL field. Attackers can initiate HTTP requests to internal network addresses, access cloud metadata, and enumerate internal services by exploiting the missing secureFetch verification in httpSecurity.ts. | Sun 25 Oct |
| CVE-2026-73488 | 6.0 medium | 0.00% | flowiseai, flowise | Flowise versions before 3.1.3 contain an insecure direct object reference vulnerability in the GET /api/v1/organization/customer-default-source endpoint that allows authenticated attackers to access other customers' payment and profile data by manipulating the customerId parameter. Attackers can enumerate predictable customer IDs to retrieve sensitive information including email addresses, account balances, currency types, and billing configurations without authorization checks. | Sat 24 Oct |
| CVE-2026-56272 | 5.6 medium | 0.00% | flowiseai, flowise | 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. | Sun 25 Oct |
| CVE-2026-8027 | 5.3 medium | 0.00% | flowiseai, flowise | 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. | Mon 26 Oct |
| CVE-2026-43995 | 5.3 medium | 0.00% | flowiseai, flowise | Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, multiple tool implementations directly import and invoke raw HTTP clients (node-fetch, axios) instead of using the secured wrapper. These tools include (1) OpenAPIToolkit/OpenAPIToolkit.ts, (2) WebScraperTool/WebScraperTool.ts, (3) MCP/core.ts, and (4) Arxiv/core.ts. This vulnerability is fixed in 3.1.0. | Mon 26 Oct |
| CVE-2026-56268 | 5.3 medium | 0.00% | flowiseai, flowise | 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. | Sun 25 Oct |
| CVE-2025-71331 | 5.1 medium | 0.00% | flowiseai, flowise | 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. | 19 Oct |
| CVE-2026-56269 | 4.3 medium | 0.00% | flowiseai, flowise | 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. | Sun 25 Oct |
| CVE-2026-8028 | 2.9 low | 0.00% | flowiseai, flowise | 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. | Mon 26 Oct |
| CVE-2026-12821 | 2.1 low | 0.00% | no CPE yet | A vulnerability was determined in FlowiseAI Flowise up to 3.1.2. The impacted element is an unknown function of the file packages/components/nodes/documentloaders/S3/S3.ts of the component S3 Document Loader. Executing a manipulation can lead to path traversal. It is possible to launch the attack remotely. The vendor was contacted early about this disclosure but did not respond in any way. | Sun 25 Oct |
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EPSS scores: 2026-10-28. NVD cursor: 2026-10-29 00:22. The News page shows only notable CVEs (KEV, your stack, new criticals, EPSS over 50%, or active exploitation per SSVC); this table has all of them.