This tool analyzes website traffic logs to identify Google bots, bad bot traffic, and human traffic. It uses various signals to differentiate between legitimate and illegitimate traffic.

• Identify Google bot traffic: Detects legitimate Google bots based on user agent strings, IP addresses, and other signals.
• Identify bad bot traffic: Detects known bad bots, fake Google bots, and the use of libraries and net tools based on user agent strings and other signals.
• Identify human traffic: Filters out bot traffic to identify human traffic.

1. Clone the repository or download the script.
2. Ensure you have Python 3.x installed.
3. Install required dependencies using pip:

   pip install pandas requests

Run the script from the command line with the appropriate arguments:

python traffic_analyzer.py <file> [options]

• <file>: The CSV file containing the logs to analyze.

• --googlebot: Identify Google bot traffic.
• --badbot: Identify bad bot traffic.
• --human: Identify human traffic.

Identify Google bot traffic:

python traffic_analyzer.py logs_analyst.csv --googlebot

Identify bad bot traffic:

python traffic_analyzer.py logs_analyst.csv --badbot

Identify human traffic:

python traffic_analyzer.py logs_analyst.csv --human

1. User agent: Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)
2. IP address: Starts with 66.249.
3. apiIpAutonomousSystemOrganization: Contains GOOGLE
4. JavaScript WebGL Renderer, WebDriver, and Hardware Concurrency: Null or NaN
5. apiEndpoint: Must be http
6. fingerprintAccept: Contains text/html

• Known bad bots: Identified using an external list of bad user agents.
• Fake Google bots: User agent contains Googlebot, but the IP address does not belong to Google.
• Libraries and net tools: User agent strings like curl, python-requests, PostmanRuntime.
• Path traversal attacks: URLs containing "/../"

• Negative of bot signals
• User agent strings that do not match known bad bots, libraries, and net tools
• URLs that do not contain path traversal patterns

This project is licensed under the MIT License.