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

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, Flowise is vulnerable to a critical unauthenticated remote command execution (RCE) vulnerability. It can be exploited via a parameter override bypass using the FILE-STORAGE:: keyword combined with a NODE_OPTIONS environment variable injection. This allows for the execution of arbitrary system commands with root privileges within the containerized Flowise instance, requiring only a single HTTP request and no authentication or knowledge of the instance. This vulnerability is fixed in 3.1.0.

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.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the specific flaw exists within the run method of the CSV_Agents class. The issue results from the lack of proper sandboxing when evaluating an LLM generated python script. An attacker can leverage this vulnerability to execute code in the context of the user running the server. Using prompt injection techniques, an unauthenticated attacker with the ability to send prompts to a chatflow using the CSV Agent node may convince an LLM to respond with a malicious python script that executes attacker controlled commands on the Flowise server. This vulnerability is fixed in 3.1.0.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the specific flaw exists within the run method of the Airtable_Agents class. The issue results from the lack of proper sandboxing when evaluating an LLM generated python script. Using prompt injection techniques, an unauthenticated attacker with the ability to send prompts to a chatflow using the Airtable Agent node may convince an LLM to respond with a malicious python script that executes attacker controlled commands on the flowise server. This vulnerability is fixed in 3.1.0.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the GraphCypherQAChain node forwards user-provided input directly into the Cypher query execution pipeline without proper sanitization. An attacker can inject arbitrary Cypher commands that are executed on the underlying Neo4j database, enabling data exfiltration, modification, or deletion. This vulnerability is fixed in 3.1.0.

The Custom MCPs feature is designed to execute OS commands, for instance, using tools like `npx` to spin up local MCP Servers. However, Flowise's inherent authentication and authorization model is minimal and lacks role-based access controls (RBAC). Furthermore, in Flowise versions before 3.0.1 the default installation operates without authentication unless explicitly configured. This combination allows unauthenticated network attackers to execute unsandboxed OS commands.

An Authentication Bypass vulnerability exists in Flowise version 1.8.2. This could allow a remote, unauthenticated attacker to access API endpoints as an administrator and allow them to access restricted functionality.

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.

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.

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 assistant update endpoint of FlowiseAI. The endpoint allows authenticated users to modify server-controlled properties such as workspaceId, createdDate, and updatedDate when updating an assistant resource. Due to missing server-side validation and authorization checks, an attacker can manipulate the workspaceId field and reassign assistants to arbitrary workspaces. This breaks tenant isolation in multi-workspace environments. This issue has been patched in version 3.1.2.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, assistant create and update mass-assignment allows cross-workspace assistant takeover. This issue has been patched in version 3.1.2.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, dataset create and update mass-assignment allows cross-workspace dataset takeover. This issue has been patched in version 3.1.2.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, evaluation create and update mass-assignment allows cross-workspace evaluation takeover. This issue has been patched in version 3.1.2.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, evaluator create and update mass-assignment allows cross-workspace evaluator takeover. This issue has been patched in version 3.1.2.

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.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, CustomTemplate create and update mass-assignment allows cross-workspace template takeover. This issue has been patched in version 3.1.2.

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.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.0.13, there is an IDOR vulnerability, leading to account takeover and enterprise feature bypass via SSO configuration. This issue has been patched in version 3.0.13.

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 tool update endpoint of FlowiseAI. The endpoint allows authenticated users to modify server-controlled properties such as workspaceId, createdDate, and updatedDate when updating a tool resource. Due to missing server-side validation and authorization checks, an attacker can manipulate the workspaceId field and reassign tools to arbitrary workspaces. This breaks tenant isolation in multi-workspace environments. This issue has been patched in version 3.1.2.

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 chatflow update endpoint of FlowiseAI. The endpoint allows clients to modify server-controlled properties such as deployed, isPublic, workspaceId, createdDate, and updatedDate when updating a chatflow object. Due to missing server-side validation and authorization checks, an authenticated user can manipulate internal attributes of a chatflow and reassign it to another workspace. This allows cross-workspace resource reassignment and unauthorized modification of deployment and visibility settings. This issue has been patched in version 3.1.2.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, a Mass Assignment vulnerability in the DocumentStore creation endpoint allows authenticated users to control the primary key (id) and internal state fields of DocumentStore entities. Because the service uses repository.save() with a client-supplied primary key, the POST create endpoint behaves as an implicit UPSERT operation. This enables overwriting existing DocumentStore objects. In multi-workspace or multi-tenant deployments, this can lead to cross-workspace object takeover and broken object-level authorization (IDOR), allowing an attacker to reassign or modify DocumentStore objects belonging to other workspaces. This vulnerability is fixed in 3.1.0.

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.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.0.13, unauthenticated users can inject arbitrary values into internal database fields when creating leads. This issue has been patched in version 3.0.13.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, DatasetRow create and update mass-assignment allows cross-workspace row takeover. This issue has been patched in version 3.1.2.

A privilege escalation flaw was found in the token exchange feature of keycloak. Missing authorization allows a client application holding a valid access token to exchange tokens for any target client by passing the client_id of the target. This could allow a client to gain unauthorized access to additional services.

The Service Finder Bookings plugin for WordPress is vulnerable to privilege escalation via account takeover in all versions up to, and including, 6.0. This is due to the plugin not properly validating a user's identity prior to claiming a business when using the claim_business AJAX action. This makes it possible for unauthenticated attackers to login as any user including admins. Please note that subscriber privileges or brute-forcing are needed when completing the business takeover. The claim_id is needed to takeover the admin account, but brute-forcing is a practical approach to obtaining valid IDs.

Authorization Bypass Through User-Controlled Key in NPM url-parse prior to 1.5.9.

An authentication bypass in the SSH service of gost v2.11.5 allows attackers to intercept communications via setting the HostKeyCallback function to ssh.InsecureIgnoreHostKey

RSFirewall tries to identify the original IP address by looking at different HTTP headers. A bypass is possible due to the way it is implemented.

Authorization Bypass Through User-Controlled Key vulnerability in Paid Memberships Pro allows Accessing Functionality Not Properly Constrained by ACLs.This issue affects Paid Memberships Pro: from n/a through 3.0.4.

Pterodactyl is an open-source game server management panel built with PHP 7, React, and Go. A malicious user can modify the contents of a `confirmation_token` input during the two-factor authentication process to reference a cache value not associated with the login attempt. In rare cases this can allow a malicious actor to authenticate as a random user in the Panel. The malicious user must target an account with two-factor authentication enabled, and then must provide a correct two-factor authentication token before being authenticated as that user. Due to a validation flaw in the logic handling user authentication during the two-factor authentication process a malicious user can trick the system into loading credentials for an arbitrary user by modifying the token sent to the server. This authentication flaw is present in the `LoginCheckpointController@__invoke` method which handles two-factor authentication for a user. This controller looks for a request input parameter called `confirmation_token` which is expected to be a 64 character random alpha-numeric string that references a value within the Panel's cache containing a `user_id` value. This value is then used to fetch the user that attempted to login, and lookup their two-factor authentication token. Due to the design of this system, any element in the cache that contains only digits could be referenced by a malicious user, and whatever value is stored at that position would be used as the `user_id`. There are a few different areas of the Panel that store values into the cache that are integers, and a user who determines what those cache keys are could pass one of those keys which would cause this code pathway to reference an arbitrary user. At its heart this is a high-risk login bypass vulnerability. However, there are a few additional conditions that must be met in order for this to be successfully executed, notably: 1.) The account referenced by the malicious cache key must have two-factor authentication enabled. An account without two-factor authentication would cause an exception to be triggered by the authentication logic, thusly exiting this authentication flow. 2.) Even if the malicious user is able to reference a valid cache key that references a valid user account with two-factor authentication, they must provide a valid two-factor authentication token. However, due to the design of this endpoint once a valid user account is found with two-factor authentication enabled there is no rate-limiting present, thusly allowing an attacker to brute force combinations until successful. This leads to a third condition that must be met: 3.) For the duration of this attack sequence the cache key being referenced must continue to exist with a valid `user_id` value. Depending on the specific key being used for this attack, this value may disappear quickly, or be changed by other random user interactions on the Panel, outside the control of the attacker. In order to mitigate this vulnerability the underlying authentication logic was changed to use an encrypted session store that the user is therefore unable to control the value of. This completely removed the use of a user-controlled value being used. In addition, the code was audited to ensure this type of vulnerability is not present elsewhere.

A vulnerability has been identified in Industrial Edge Management (All versions < V1.3). An unauthenticated attacker could change the the password of any user in the system under certain circumstances. With this an attacker could impersonate any valid user on an affected system.

Insecure Permissions vulnerability in Friendica v.2023.12 allows a remote attacker to obtain sensitive information and execute arbitrary code via the cid parameter of the calendar event feature.

CA API Developer Portal 4.3.1 and earlier handles shared secret keys in an insecure manner, which allows attackers to bypass authorization.

A vulnerability, which was classified as critical, was found in SourceCodester Employee Task Management System 1.0. This affects an unknown part of the file /update-admin.php. The manipulation of the argument admin_id leads to authorization bypass. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used. The associated identifier of this vulnerability is VDB-257079.

A vulnerability, which was classified as critical, has been found in SourceCodester Employee Task Management System 1.0. Affected by this issue is some unknown functionality of the file /task-details.php. The manipulation of the argument task_id leads to authorization bypass. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. VDB-257078 is the identifier assigned to this vulnerability.

A vulnerability classified as critical was found in SourceCodester Employee Task Management System 1.0. Affected by this vulnerability is an unknown functionality of the file /edit-task.php. The manipulation of the argument task_id leads to authorization bypass. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. The identifier VDB-257077 was assigned to this vulnerability.

A vulnerability was determined in Cesanta Mongoose up to 7.20. Affected is the function mg_tls_verify_cert_signature of the file mongoose.c of the component P-384 Public Key Handler. Executing a manipulation can lead to authorization bypass. The attack can be executed remotely. Attacks of this nature are highly complex. The exploitability is told to be difficult. The exploit has been publicly disclosed and may be utilized. Upgrading to version 7.21 is able to address this issue. This patch is called 0d882f1b43ff2308b7486a56a9d60cd6dba8a3f1. The affected component should be upgraded. The vendor was contacted early, responded in a very professional manner and quickly released a fixed version of the affected product.

The Support Board plugin for WordPress is vulnerable to unauthorized access/modification/deletion of data due to use of hardcoded default secrets in the sb_encryption() function in all versions up to, and including, 3.8.0. This makes it possible for unauthenticated attackers to bypass authorization and execute arbitrary AJAX actions defined in the sb_ajax_execute() function. An attacker can use this vulnerability to exploit CVE-2025-4828 and various other functions unauthenticated.

An issue in System PDV v1.0 allows a remote attacker to obtain sensitive information via the hash parameter in a URL. The application contains an Insecure Direct Object Reference (IDOR) vulnerability, which occurs due to a lack of proper authorization checks when accessing objects referenced by this parameter. This allows direct access to other users' data or internal resources without proper permission. Successful exploitation of this flaw may result in the exposure of sensitive information.

Nextcloud Server is a Nextcloud package that handles data storage. In versions prior to 19.0.11, 20.0.10, and 21.0.2, an attacker is able to receive write/read privileges on any Federated File Share. Since public links can be added as federated file share, this can also be exploited on any public link. Users can upgrade to patched versions (19.0.11, 20.0.10 or 21.0.2) or, as a workaround, disable federated file sharing.

OPEXUS eComplaint before version 10.1.0.0 allows an unauthenticated attacker to obtain or guess an existing case number and upload arbitrary files via 'Portal/EEOC/DocumentUploadPub.aspx'. Users would see these unexpected files in cases. Uploading a large number of files could consume storage.

SimpleEval is a library for adding evaluatable expressions into python projects. Prior to 1.0.5, objects (including modules) can leak dangerous modules through to direct access inside the sandbox. If the objects you've passed in as names to SimpleEval have modules or other disallowed / dangerous objects available as attrs. Additionally, dangerous functions or modules could be accessed by passing them as callbacks to other safe functions to call. The latest version 1.0.5 has this issue fixed. This vulnerability is fixed in 1.0.5.

ormar is a async mini ORM for Python. Versions 0.23.0 and below are vulnerable to Pydantic validation bypass through the model constructor, allowing any unauthenticated user to skip all field validation by injecting "__pk_only__": true into a JSON request body. By injecting "__pk_only__": true into a JSON request body, an unauthenticated attacker can skip all field validation and persist unvalidated data directly to the database. A secondary __excluded__ parameter injection uses the same pattern to selectively nullify arbitrary model fields (e.g., email or role) during construction. This affects ormar's canonical FastAPI integration pattern recommended in its official documentation, enabling privilege escalation, data integrity violations, and business logic bypass in any application using ormar.Model directly as a request body parameter. This issue has been fixed in version 0.23.1.

MailEnable Enterprise Premium 10.55 and earlier contains an improper authorization vulnerability in the WebAdmin mobile portal that allows attackers to bypass authentication checks by reusing AuthenticationToken cookies generated for low-privileged users. Attackers can obtain a token from the WebMail login endpoint using the PersistentLogin parameter and replay it against the WebAdmin portal to perform highly privileged administrative actions.

Authorization bypass through User-Controlled key vulnerability in HYPR Server allows Privilege Escalation.This issue affects Server: from 9.5.2 before 10.7.2.

NVIDIA NVFlare Dashboard contains a vulnerability in the user management and authentication system where an unauthenticated attacker may cause authorization bypass through user-controlled key. A successful exploit of this vulnerability may lead to privilege escalation, data tampering, information disclosure, code execution, and denial of service.

Cal.com is open-source scheduling software. From 3.1.6 to before 6.0.7, there is a vulnerability in a custom NextAuth JWT callback that allows attackers to gain full authenticated access to any user's account by supplying a target email address via session.update(). This vulnerability is fixed in 6.0.7.

The User Registration & Membership WordPress plugin before 4.1.3 does not properly validate data in an AJAX action when the Membership Addon is enabled, allowing attackers to authenticate as any user, including administrators, by simply using the target account's user ID.