CVE-2026-53674

June 10, 2026, 12:16 a.m.

7.1
High

Description

BuddyPress 14.4.0 contains a regular expression injection vulnerability in the activity mention resolver that, when username compatibility mode is enabled, allows attackers to manipulate a REGEXP database clause by crafting mention names containing regex metacharacters. Attackers can submit @mentions whose metacharacters pass through esc_sql unescaped and are inserted into an unprepared REGEXP query against the users table, enabling boolean-based inference of usernames and denial of service through catastrophic backtracking.

Product(s) Impacted

Vendor Product Versions
Buddypress
  • Buddypress
  • 14.4.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-943
Improper Neutralization of Special Elements in Data Query Logic
The product generates a query intended to access or manipulate data in a data store such as a database, but it does not neutralize or incorrectly neutralizes special elements that can modify the intended logic of the query.

*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 buddypress buddypress 14.4.0 / / / / / / /

CVSS Score

7.1 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: NONE
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: June 10, 2026, 12:16 a.m.
Last Modified: June 10, 2026, 12:16 a.m.

Status : Received

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

More info

*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.