CVE-2024-41153

Oct. 31, 2024, 2:37 p.m.

7.2
High

Description

Command injection vulnerability in the Edge Computing UI for the TRO600 series radios that allows for the execution of arbitrary system commands. If exploited, an attacker with write access to the web UI can execute commands on the device with root privileges, far more extensive than what the write privilege intends.

Product(s) Impacted

Vendor Product Versions
Hitachienergy
  • Tro610 Firmware
  • Tro610
  • Tro620 Firmware
  • Tro620
  • Tro670 Firmware
  • Tro670
  • *
  • -
  • *
  • -
  • *
  • -

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-77
Improper Neutralization of Special Elements used in a Command ('Command Injection')
The product constructs all or part of a command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended command when it is sent to a downstream component.

*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
o hitachienergy tro610_firmware / / / / / / / /
h hitachienergy tro610 - / / / / / / /
o hitachienergy tro620_firmware / / / / / / / /
h hitachienergy tro620 - / / / / / / /
o hitachienergy tro670_firmware / / / / / / / /
h hitachienergy tro670 - / / / / / / /

CVSS Score

7.2 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: HIGH
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H

    View Vector String

Timeline

Published: Oct. 29, 2024, 1:15 p.m.
Last Modified: Oct. 31, 2024, 2:37 p.m.

Status : Analyzed

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

More info

Source

cybersecurity@hitachienergy.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.