CVE-2024-13410

March 19, 2025, 7:15 a.m.

9.8
Critical

Description

The CozyStay and TinySalt plugins for WordPress are vulnerable to PHP Object Injection in all versions up to, and including, 1.7.0, and in all versions up to, and including 3.9.0, respectively, via deserialization of untrusted input in the 'ajax_handler' function. This makes it possible for unauthenticated attackers to inject a PHP Object. No known POP chain is present in the vulnerable software, which means this vulnerability has no impact unless another plugin or theme containing a POP chain is installed on the site. If a POP chain is present via an additional plugin or theme installed on the target system, it may allow the attacker to perform actions like delete arbitrary files, retrieve sensitive data, or execute code depending on the POP chain present.

Product(s) Impacted

Vendor Product Versions
Cozystay
  • Cozystay
  • *
Tinysalt
  • Tinysalt
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-502
Deserialization of Untrusted Data
The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid.

*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 cozystay cozystay / / / / / wordpress / /
a tinysalt tinysalt / / / / / wordpress / /

CVSS Score

9.8 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: March 19, 2025, 7:15 a.m.
Last Modified: March 19, 2025, 7:15 a.m.

Status : Awaiting Analysis

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.