ChatGPT script to generate hack alerts from mod_sec

jeffschips

• May 15, 2023 13:58

I sometimes struggle to understand what is going on with the logs of mod_sec so I can best thwart them. So I asked ChatGPT. It came up with a python script to send alerts and breakdown in plain language the alert. Here it is below. I haven't used it yet but thought it interesting enough to pass along: Certainly! Here's an example of a Python script that can parse ModSecurity logs, extract relevant information, and generate a report with summarized output: pythonCopy code import re from datetime import datetime def parse_modsec_logs(log_file): regex_pattern = r'\[(.*?)\] \[.*?\] \[client (.*?)\].*? \[uri "(.*?)"\]' logs = [] with open(log_file, 'r') as file: for line in file: match = re.search(regex_pattern, line) if match: timestamp_str, client_ip, uri = match.group(1), match.group(2), match.group(3) timestamp = datetime.strptime(timestamp_str, '%a %b %d %H:%M:%S.%f %Y') logs.append({'timestamp': timestamp, 'client_ip': client_ip, 'uri': uri}) return logs def generate_attack_reports(logs): reports = [] for log in logs: timestamp = log['timestamp'>.strftime('%Y-%m-%d %H:%M:%S') client_ip = log['client_ip'> uri = log['uri'> report = f"Attack detected from {client_ip} at {timestamp}. Targeted URI: {uri}." reports.append(report) return reports # Usage example log_file = 'modsec.log' # Replace with the path to your ModSecurity log file parsed_logs = parse_modsec_logs(log_file) attack_reports = generate_attack_reports(parsed_logs) for report in attack_reports: print(report) To use this script:

• Copy the code into a Python file (e.g., modsec_parser.py).
• Replace 'modsec.log' in the log_file variable with the path to your ModSecurity log file.
• Run the script using Python (python modsec_parser.py).

The script will read the ModSecurity log file, parse the relevant fields (timestamp, client IP, URI), and generate attack reports for each log entry. The reports will be printed to the console, but you can modify the script to save the reports to a file or send them via email, for example. Make sure to adjust the regular expression pattern (regex_pattern) if your log format differs from the example provided. Remember to install any required dependencies (e.g., pip install datetime) before running the script. Please note that this is a simplified example, and you may need to customize it further based on your specific log format and reporting requirements.

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  SimpleSonic

  • May 15, 2023 19:02

  I've tested ChatGPT and was honestly unimpressed. It is good for giving you a jump start on a project, but definitely not production ready coded scripts.

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  jeffschips

  • May 15, 2023 19:09

  Yes, I've experienced that too. But if you push it it will comply. Tell it what is missing or what you want it to do more specifically and it will modify the code. At least it did so with me in another project, which had good results. Badger it. It doesn't care if you do so. . .

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  cPRex Jurassic Moderator

  • May 17, 2023 16:08

  As an AI language model.......wait, no, I'm still real! Thanks for sharing this!

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