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Davantis Video Analytics Panel - Detect

By kannthu

Informative
Vidoc logoVidoc Module
#panel#davantis
Description

What is the "Davantis Video Analytics Panel - Detect" module?

The "Davantis Video Analytics Panel - Detect" module is designed to detect the presence of the Davantis Video Analytics panel. This module focuses on identifying misconfigurations, vulnerabilities, or specific software fingerprints related to the Davantis Video Analytics panel. The severity of the findings is classified as informative, providing valuable insights without indicating immediate threats. The module was authored by robotshell.

Impact

The impact of the Davantis Video Analytics panel detection module is primarily informative. It helps users identify the presence of the Davantis Video Analytics panel and gain insights into potential misconfigurations or vulnerabilities. This information can be used to enhance the security posture of systems utilizing the Davantis Video Analytics panel.

How does the module work?

The module operates by sending HTTP requests and evaluating the responses against predefined matching conditions. In the case of the Davantis Video Analytics panel detection module, it sends a GET request to the "/index.html" path. The module then checks if the response contains the "" string and if the HTTP status code is 200. Both conditions must be met for a positive match.

The matching conditions for this module are as follows:

- Condition 1: The response must contain the "" string. - Condition 2: The HTTP status code must be 200.

If both conditions are satisfied, the module considers the Davantis Video Analytics panel to be detected.

It's important to note that this module is just one test case within the Vidoc platform, which utilizes multiple modules to perform scanning and detection tasks.

Module preview

Concurrent Requests (1)
1. HTTP Request template
GET/index.html
Matching conditions
word: <title>Davantis</title>and
status: 200
Passive global matcher
No matching conditions.
On match action
Report vulnerability