CVE-2025-64067

Nov. 25, 2025, 10:16 p.m.

5.3
Medium

Description

Primakon Pi Portal 1.0.18 API endpoints responsible for retrieving object-specific or filtered data (e.g., user profiles, project records) fail to implement sufficient server-side validation to confirm that the requesting user is authorized to access the requested object or dataset. This vulnerability can be exploited in two ways: Direct ID manipulation and IDOR, by changing an ID parameter (e.g., user_id, project_id) in the request, an attacker can access the object and data belonging to another user; and filter Omission, by omitting the filtering parameter entirely, an attacker can cause the endpoint to return an entire unfiltered dataset of all stored records for all users. This flaw leads to the unauthorized exposure of sensitive personal and organizational information.

Product(s) Impacted

Vendor Product Versions
Primakon
  • Pi Portal
  • 1.0.18

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-639
Authorization Bypass Through User-Controlled Key
The system's authorization functionality does not prevent one user from gaining access to another user's data or record by modifying the key value identifying the data.

*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 primakon pi_portal 1.0.18 / / / / / / /

CVSS Score

5.3 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: Nov. 25, 2025, 7:15 p.m.
Last Modified: Nov. 25, 2025, 10:16 p.m.

Status : Undergoing Analysis

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

More info

Source

cve@mitre.org

*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.