CVE-2025-8480

Aug. 1, 2025, 6:15 p.m.

8.0
High

Description

Alpine iLX-507 Command Injection Remote Code Execution. This vulnerability allows network-adjacent attackers to execute arbitrary code on affected installations of Alpine iLX-507 devices. Authentication is not required to exploit this vulnerability. The specific flaw exists within the Tidal music streaming application. The issue results from the lack of proper validation of a user-supplied string before using it to execute a system call. An attacker can leverage this vulnerability to execute code in the context of the device. Was ZDI-CAN-26357.

Product(s) Impacted

Vendor Product Versions
Alpine
  • Ilx-507
  • *
Tidal
  • Tida
  • *

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
h alpine ilx-507 / / / / / / / /
a tidal tida * / / / / / / /

CVSS Score

8.0 / 10

CVSS Data - 3.0

  • Attack Vector: ADJACENT_NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.0/AV:A/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

    View Vector String

Timeline

Published: Aug. 1, 2025, 6:15 p.m.
Last Modified: Aug. 1, 2025, 6:15 p.m.

Status : Received

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

More info

Source

zdi-disclosures@trendmicro.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.