CVE-2025-64430

Nov. 7, 2025, 6:15 p.m.

7.5
High

Description

Parse Server is an open source backend that can be deployed to any infrastructure that can run Node.js. In versions 4.2.0 through 7.5.3, and 8.0.0 through 8.3.1-alpha.1, there is a Server-Side Request Forgery (SSRF) vulnerability in the file upload functionality when trying to upload a Parse.File with uri parameter, allowing execution of an arbitrary URI. The vulnerability stems from a file upload feature in which Parse Server retrieves the file data from a URI that is provided in the request. A request to the provided URI is executed, but the response is not stored in Parse Server's file storage as the server crashes upon receiving the response. This issue is fixed in versions 7.5.4 and 8.4.0-alpha.1.

Product(s) Impacted

Vendor Product Versions
Parse
  • Parse Server
  • 4.2.0-7.5.3, 8.0.0-8.3.1-alpha.1

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-918
Server-Side Request Forgery (SSRF)
The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a parse parse_server 4.2.0-7.5.3 / / / / / / /
a parse parse_server 8.0.0-8.3.1-alpha.1 / / / / / / /

CVSS Score

7.5 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: Nov. 7, 2025, 6:15 p.m.
Last Modified: Nov. 7, 2025, 6:15 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.