CVE-2025-3002

April 1, 2025, 8:26 p.m.

6.9
Medium

Description

A vulnerability, which was classified as critical, has been found in Digital China DCME-520 up to 20250320. This issue affects some unknown processing of the file /usr/local/WWW/function/audit/newstatistics/mon_merge_stat_hist.php. The manipulation of the argument type_name leads to os command injection. The attack may be initiated remotely. The exploit has been disclosed to the public and may be used. Other parameters might be affected as well.

Product(s) Impacted

Vendor Product Versions
Digital China
  • Dcme-520
  • *

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
a digital_china dcme-520 / / / / / / / /

CVSS Score

6.9 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: LOW
  • Availability Impact: LOW
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/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: March 31, 2025, 4:15 p.m.
Last Modified: April 1, 2025, 8:26 p.m.

Status : Awaiting Analysis

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

More info

Source

cna@vuldb.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.