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:
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.
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).
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.
