CVE-2022-4982

Nov. 14, 2025, 4:42 p.m.

8.7
High

Description

DBLTek GoIP-1 firmware versions up to and including GHSFVT-1.1-67-5 contain a local file inclusion vulnerability. The device's web server exposes handlers (`frame.html` and `frame.A100.html`) that accept a path parameter (`content` or `sidebar`) which is not properly validated or canonicalized. An attacker can supply directory-traversal sequences to cause the server to read and return arbitrary filesystem files that the webserver user can access. Other GoIP models and firmware versions are likely affected. Exploitation evidence was observed by the Shadowserver Foundation on 2024-03-21 UTC.

Product(s) Impacted

Product Versions
goip-1
  • *

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.

CVSS Score

8.7 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/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: Nov. 12, 2025, 10:15 p.m.
Last Modified: Nov. 14, 2025, 4:42 p.m.

Status : Awaiting Analysis

CVE has been marked for Analysis. Normally once in this state the CVE will be analyzed by NVD staff within 24 hours.

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.