CVE-2025-34129

July 17, 2025, 9:15 p.m.

8.7
High

Description

A command injection vulnerability exists in LILIN Digital Video Recorder (DVR) devices prior to firmware version 2.0b60_20200207 due to insufficient sanitization of the FTP and NTP Server fields in the service configuration. An attacker with access to the configuration interface can upload a malicious XML file with injected shell commands in these fields. Upon subsequent configuration syncs, these commands are executed with elevated privileges. This vulnerability was exploited in the wild by the Moobot botnets.

Product(s) Impacted

Vendor Product Versions
Lilin
  • Digital Video Recorder
  • <2.0b60_20200207

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-20
Improper Input Validation
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

*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 lilin digital_video_recorder <2.0b60_20200207 / / / / / / /

CVSS Score

8.7 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/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: July 16, 2025, 10:15 p.m.
Last Modified: July 17, 2025, 9:15 p.m.

Status : Awaiting Analysis

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

More info

Source

disclosure@vulncheck.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.