CVE-2025-30168

March 21, 2025, 3:15 p.m.

6.9
Medium

Description

Parse Server is an open source backend that can be deployed to any infrastructure that can run Node.js. Prior to 7.5.2 and 8.0.2, the 3rd party authentication handling of Parse Server allows the authentication credentials of some specific authentication providers to be used across multiple Parse Server apps. For example, if a user signed up using the same authentication provider in two unrelated Parse Server apps, the credentials stored by one app can be used to authenticate the same user in the other app. Note that this only affects Parse Server apps that specifically use an affected 3rd party authentication provider for user authentication, for example by setting the Parse Server option auth to configure a Parse Server authentication adapter. The fix of this vulnerability requires to upgrade Parse Server to a version that includes the bug fix, as well as upgrade the client app to send a secure payload, which is different from the previous insecure payload. This vulnerability is fixed in 7.5.2 and 8.0.2.

Product(s) Impacted

Vendor Product Versions
Parse
  • Parse Server
  • <7.5.2, 7.5.2, 8.0.2

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-287
Improper Authentication
When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct.

CVSS Score

6.9 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: HIGH
  • Privileges Required: NONE
  • Scope: CHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: LOW
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:L/A:N

    View Vector String

Timeline

Published: March 21, 2025, 3:15 p.m.
Last Modified: March 21, 2025, 3:15 p.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

security-advisories@github.com

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.