web-traffic-generator aims to simulate organic web traffic by randomly browsing websites. It starts from a set of root URLs and follows links, mimicking real user behavior. This project was created to address the need for realistic traffic generation in network defense simulations, overcoming limitations of simple traffic replay methods.
The project's strength lies in its attempt to generate semi-random traffic patterns, providing a more realistic simulation than purely synthetic data. The configuration file allows for customization of parameters like depth, wait times, and user agent. It provides a simple yet functional solution for generating web traffic.
- Core Functionality: Randomly browses websites following links to simulate user navigation.
- Configuration: Uses a configuration file to manage parameters such as depth, wait times, and blacklisted URLs.
- User-Agent: Allows customization of the user-agent string to mimic different browsers.
- Blacklisting: Includes a blacklist feature to avoid problematic or unwanted links.
- Simple and Lightweight: Written in Python with minimal dependencies, making it easy to deploy and use.
- Debugging: Offers debugging functionality to closely observe the traffic generation process.
The project is a relatively simple script with active maintenance, evident from recent commits. Documentation is basic but sufficient for basic usage. The project is suitable for prototypes and simulations, but may require further refinement for production environments.
This project is beneficial for incident responders, network security analysts, and developers needing realistic web traffic for testing and simulation purposes. It offers a convenient way to generate traffic that mimics user browsing behavior, enabling more accurate testing scenarios and automated security assessments.