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GHSA-59fh-9f3p-7m39 CVE-2026-56276

Flowise: Mass Assignment in PUT /api/v1/user Allows Authenticated Users to Override Password Hash and Bypass Password Change Verification

Medium npm
Severity
0.0 / 10
Medium · CVSS 4.0
Exploit chance (EPSS)
0.37%
Chance of exploitation in the next 30 days. Higher than 30.48% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-915 Improperly Controlled Modification of Dynamically-Determined Object Attributes
Fix
3.1.2
Upgrade flowise to this version or later

Description

Summary

A Mass Assignment vulnerability in the PUT /api/v1/user endpoint allows authenticated users to directly modify restricted user fields, including the credential (password hash), bypassing the intended password change workflow.

Because the endpoint forwards the entire request body to the service layer without filtering, an attacker can override the credential field without providing the current password.

This bypasses several security protections including:

  • old password verification
  • password hashing enforcement
  • password policy validation
  • session invalidation on password change

While the vulnerability cannot be used to modify other users due to an ID check in the controller, it allows attackers who obtain a temporary session (e.g., via token theft or XSS) to establish persistent account access.

Details

The endpoint PUT /api/v1/user allows authenticated users to update their user profile.

The controller checks that the authenticated user matches the provided id, preventing direct IDOR:

const currentUser = req.user
const { id } = req.body

if (currentUser.id !== id) {
    throw new InternalFlowiseError(StatusCodes.FORBIDDEN)
}

However, the controller forwards the entire request body directly to the service layer without filtering:

const user = await userService.updateUser(req.body)

Inside UserService.updateUser, the incoming data is merged into the existing user entity:

updatedUser = queryRunner.manager.merge(User, oldUserData, newUserData)

Because newUserData is derived from req.body and there is no field allowlist, any field present in the User entity may be modified.

This includes sensitive fields such as:

  • credential
  • tempToken
  • tokenExpiry
  • status
  • email

The service implements a secure password change workflow that requires the following fields:

oldPassword
newPassword
confirmPassword

Example code:

if (newUserData.oldPassword && newUserData.newPassword && newUserData.confirmPassword) {
    if (!compareHash(newUserData.oldPassword, oldUserData.credential)) {
        throw new InternalFlowiseError(StatusCodes.BAD_REQUEST)
    }

    newUserData.credential = this.encryptUserCredential(newUserData.newPassword)
}

However, this logic can be bypassed by directly supplying a credential value in the request body.

Because the merge operation applies all fields from newUserData, the supplied credential hash will overwrite the stored password hash.

PoC

Step 1 - Authenticate

Login as any normal user and obtain a valid JWT token.

POST /api/v1/auth/login

Step 2 - Generate a password hash

Generate a bcrypt hash for a password you control.

Example:

bcrypt("attacker_password")

Example hash:

$2b$10$abc123examplehashvalue...

Step 3 - Send crafted update request

PUT /api/v1/user
Authorization: Bearer <JWT_TOKEN>
Content-Type: application/json

{
  "id": "<your-user-id>",
  "credential": "$2b$10$abc123examplehashvalue..."
}

Step 4 - Login with attacker password

The password hash in the database is replaced by the supplied value.

The attacker can now authenticate using:

attacker_password

without ever providing the previous password.

Impact

This vulnerability allows authenticated users to bypass the password change security controls.

Security protections that are bypassed include:

current password verification

password hashing enforcement

password policy validation

session invalidation on password change

Although the controller prevents modification of other users' accounts, the vulnerability enables persistence after account compromise.

Example attack scenario:

  • An attacker temporarily obtains a user's session (XSS, token leak, shared device, etc.)
  • The attacker sends the crafted update request with a new password hash
  • The attacker now permanently controls the account
  • Authentication logic bypass
  • Privilege persistence after compromise
  • Weak account recovery guarantees

Affected versions

npm

PackageVulnerableFixed in
flowise
< 3.1.2
3.1.2

How to fix

Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.

flowise npm → 3.1.2

npm
npm install flowise@3.1.2
yarn
yarn add flowise@3.1.2
pnpm
pnpm add flowise@3.1.2

Severity breakdown

CVSS 4.0 0.0

CVSS:4.0/AV:N/AC:H/AT:N/PR:L/UI:N/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N

Attack vector
Network
Attack complexity
High
Attack requirements
None
Privileges required
Low
User interaction
None
Confidentiality (vulnerable system)
None
Integrity (vulnerable system)
High
Availability (vulnerable system)
None
Confidentiality (subsequent systems)
None
Integrity (subsequent systems)
None
Availability (subsequent systems)
None

Weakness

CWE-915: Improperly Controlled Modification of Dynamically-Determined Object Attributes

The product receives input from an upstream component that specifies multiple attributes, properties, or fields that are to be initialized or updated in an object, but it does not properly control which attributes can be modified.

How to prevent it
  • Implementation: If available, use features of the language or framework that allow specification of allowlists of attributes or fields that are allowed to be modified. If possible, prefer allowlists over denylists. For applications written with Ruby on Rails, use the attr_accessible (allowlist) or attr_protected (denylist) macros in each class that may be used in mass assignment.
  • Architecture and Design, Implementation: If available, use the signing/sealing features of the programming language to assure that deserialized data has not been tainted. For example, a hash-based message authentication code (HMAC) could be used to ensure that data has not been modified.
  • Implementation: For any externally-influenced input, check the input against an allowlist of internal object attributes or fields that are allowed to be modified.
  • Implementation, Architecture and Design: Refactor the code so that object attributes or fields do not need to be dynamically identified, and only expose getter/setter functionality for the intended attributes.

References

Timeline

  1. Published
  2. Last updated by the source
  3. Latest EPSS score
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Medium Also affects flowise
GHSA-wch5-xp77-fxg4
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High Also affects flowise
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