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Flowise: resetPassword Authentication Bypass Vulnerability

High severity GitHub Reviewed Published Apr 15, 2026 in FlowiseAI/Flowise

Package

npm flowise (npm)

Affected versions

<= 3.0.13

Patched versions

3.1.0

Description

ZDI-CAN-28762: Flowise AccountService resetPassword Authentication Bypass Vulnerability

-- ABSTRACT -------------------------------------

Trend Micro's Zero Day Initiative has identified a vulnerability affecting the following products:
Flowise - Flowise

-- VULNERABILITY DETAILS ------------------------

  • Version tested: 3.0.12
  • Installer file: hxxps://github.com/FlowiseAI/Flowise
  • Platform tested: NA

Analysis

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. The issue results from improper implementation of the authentication mechanism. An attacker can leverage this vulnerability to change user's passwords and bypass authentication on the system.

Product information

FlowiseAI Flowise version 3.0.12 (hxxps://github.com/FlowiseAI/Flowise)

Setup Instructions

npm install flowise@3.0.12
npx flowise start

Root Cause Analysis

FlowiseAI Flowise is an open source low-code tool for developers to build customized large language model (LLM) applications and AI agents. It supports integration with various LLMs, data sources, and tools in order to facilitate rapid development and deployment of AI solutions. Flowise offers a web interface with a drag-and-drop editor, as well as an API, through an Express web server accessible over HTTP on port 3000/TCP.

Flowise allows users to reset forgotten passwords using a token emailed to the email address associated with their account. A token is sent to the user's email when a request is made to the "/api/v1/account/forgot-password" endpoint. Users will submit this token along with their new password to the "/api/v1/account/reset-password" endpoint, and if it is submitted within sufficient time (15 minutes by default, or the value of the PASSWORD_RESET_TOKEN_EXPIRY_IN_MINUTES environment variable) the user will be able to change their password.

The resetPassword() method of the AccountService class is responsible for handling such requests. This method will first retrieve the account information of the user based on their email address, which includes the value of the reset token. The method will then check if the reset token provided matches the one stored in the user's account, and that the token hasn't expired, before changing that users password.

However, 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. The null or empty string reset token value will allow the attacker to pass the reset token check, and they only have to worry about passing the expiry time check. By default the expiry time stored in the account of a user that has never generated a reset token before is equal to the time of their accounts creation plus 15 minutes (or the value of the PASSWORD_RESET_TOKEN_EXPIRY_IN_MINUTES environment variable).

This means that an attacker with knowledge of a recently created user account's email can change the user's password and use the changed password to bypass authentication.

comments documenting the issue have been added to the following code snippet. Added comments are prepended with "!!!".
From packages/server/src/enterprise/services/account.service.ts

    public async resetPassword(data: AccountDTO) {
        data = this.initializeAccountDTO(data) 
        const queryRunner = this.dataSource.createQueryRunner()
        await queryRunner.connect()
        try {
            const user = await this.userService.readUserByEmail(data.user.email, queryRunner)  //!!! retrieve stored user info by email address
            if (!user) throw new InternalFlowiseError(StatusCodes.NOT_FOUND, UserErrorMessage.USER_NOT_FOUND)
            //!!!user.tempToken is null or empty string, unless a user has requested a reset token and not used it
            if (user.tempToken !== data.user.tempToken)  //!!! check if the stored token (null by default) matches the provided token
                throw new InternalFlowiseError(StatusCodes.BAD_REQUEST, UserErrorMessage.INVALID_TEMP_TOKEN)

            const tokenExpiry = user.tokenExpiry
            const now = moment()
            const expiryInMins = process.env.PASSWORD_RESET_TOKEN_EXPIRY_IN_MINUTES
                ? parseInt(process.env.PASSWORD_RESET_TOKEN_EXPIRY_IN_MINUTES)
                : 15
            const diff = now.diff(tokenExpiry, 'minutes') //!!! check if token is expired
            if (Math.abs(diff) > expiryInMins) throw new InternalFlowiseError(StatusCodes.BAD_REQUEST, UserErrorMessage.EXPIRED_TEMP_TOKEN)

            // all checks are done, now update the user password, don't forget to hash it and do not forget to clear the temp token
            // leave the user status and other details as is
            //!!! hash and update the user's password since checks passed
            const salt = bcrypt.genSaltSync(parseInt(process.env.PASSWORD_SALT_HASH_ROUNDS || '5'))
            // @ts-ignore
            const hash = bcrypt.hashSync(data.user.password, salt)
            data.user = user
            data.user.credential = hash
            data.user.tempToken = ''  //!!! stored Token value is set to empty string which can also be used by an attacker to bypass the token check
            data.user.tokenExpiry = undefined
            data.user.status = UserStatus.ACTIVE

            await queryRunner.startTransaction()
            data.user = await this.userService.saveUser(data.user, queryRunner)  //!!! save changes to user account
            await queryRunner.commitTransaction()

            // Invalidate all sessions for this user after password reset
            await destroyAllSessionsForUser(user.id as string)
        } catch (error) {
            await queryRunner.rollbackTransaction()
            throw error
        } finally {
            await queryRunner.release()
        }

        return sanitizeUser(data.user)
    }

Proof of Concept

A proof of concept for this vulnerability is provided in ./poc.py. It expects the following syntax:

    python3 poc.py --user <USER> --host <HOST> [--port <PORT>]

Where USER is the email address of a user on the server, HOST is the ip address of the vulnerable server, and PORT is the port the vulnerable server is listening on (default: 3000). Options inclosed in square brackets are optional.

In order for this proof of concept to be successful, the user specified as the USER argument must have created their account within the last 15 minutes (or within PASSWORD_RESET_TOKEN_EXPIRY_IN_MINUTES minutes)

By default, the poc will first send a POST request to the "/api/v1/account/reset-password" endpoint of the target server containing a JSON body with a null reset token and the password "TMSR1234!" for the user specified by the USER argument. If the request doesn't successfully change the user's password, the same request will be sent again with the reset token value set to the empty string. Upon successful exploitation, the user's password will be changed to "TMSR1234!".

The provided proof of concept was tested using FlowiseAI Flowise version 3.0.12 runing on a Ubuntu 24.04 VM.

-- CREDIT ---------------------------------------
This vulnerability was discovered by:
Nicholas Zubrisky (@NZubrisky) of TrendAI Research of Trend Micro

References

@igor-magun-wd igor-magun-wd published to FlowiseAI/Flowise Apr 15, 2026
Published to the GitHub Advisory Database Apr 16, 2026
Reviewed Apr 16, 2026

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity High
Attack Requirements Present
Privileges Required None
User interaction Passive
Vulnerable System Impact Metrics
Confidentiality High
Integrity High
Availability High
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

EPSS score

Weaknesses

Improper Authentication

When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct. Learn more on MITRE.

CVE ID

No known CVE

GHSA ID

GHSA-f6hc-c5jr-878p

Source code

Credits

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