CVE-2026-25525

April 20, 2026, 7:03 p.m.

4.9
Medium

Description

Magento Long Term Support (LTS) is an unofficial, community-driven project provides an alternative to the Magento Community Edition e-commerce platform with a high level of backward compatibility. Prior to version 20.17.0, the Dataflow module in OpenMage LTS uses a weak blacklist filter (`str_replace('../', '', $input)`) to prevent path traversal attacks. This filter can be bypassed using patterns like `..././` or `....//`, which after the replacement still result in `../`. An authenticated administrator can exploit this to read arbitrary files from the server filesystem. Version 20.17.0 patches the issue.

Product(s) Impacted

Vendor Product Versions
Openmage
  • Openmage Lts
  • <20.17.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-22
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.

*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 openmage openmage_lts <20.17.0 / / / / / / /

CVSS Score

4.9 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: April 20, 2026, 5:16 p.m.
Last Modified: April 20, 2026, 7:03 p.m.

Status : Undergoing Analysis

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.