CVE-2024-7848

Sept. 26, 2024, 10:12 p.m.

6.5
Medium

Description

The User Private Files – WordPress File Sharing Plugin plugin for WordPress is vulnerable to Insecure Direct Object Reference in all versions up to, and including, 2.1.0 via the 'dpk_upvf_update_doc' due to missing validation on the 'docid' user controlled key. This makes it possible for authenticated attackers, with subscriber-level access and above, to gain access to other user's private files.

Product(s) Impacted

Vendor Product Versions
Mediajedi
  • User Private Files
  • *

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 mediajedi user_private_files / / / / / wordpress / /

References

https://plugins.trac.wordpress.org/changeset?sfp_email=&sfph_mail=&reponame=&old=3136913%40user-private-files&new=3136913%40user-private-files&sfp_email=&sfph_mail=
https://www.wordfence.com/threat-intel/vulnerabilities/id/0fb06de8-97d6-46c3-83ef-93a209540259?source=cve

Tags

security@wordfence.com
CWE-639
2024-08-22
CVE-2024-7848

CVSS Score

6.5 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: NONE
  • Availability Impact: NONE

    • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N

    View Vector String

Timeline

Published: Aug. 22, 2024, 11:15 a.m.
Last Modified: Sept. 26, 2024, 10:12 p.m.

Status : Analyzed

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

More info

Source

security@wordfence.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.