Python Code for Automated Log Analysis & Alerting

Description: Create a script that parses various log files (e.g., system logs, firewall logs, web server logs) for suspicious activity. It should be able to identify patterns indicative of attacks (e.g., failed login attempts, unusual traffic patterns, known malicious IP addresses). The script should then generate alerts (e.g., email, Slack notification) or even trigger automated responses (e.g., blocking an IP address via API).

Relevance: Log analysis is fundamental. Automation saves time and improves threat detection.

Key Skills: Regular expressions, log parsing libraries (e.g.,re, datetime), scripting, alert systems (e.g., email, Slack API), potentially basic API interaction. Using a SIEM or simulator.

Here’s a Python script for Automated Log Analysis & Alerting, which:

• Parses system logs, firewall logs, and web server logs.
• Identifies suspicious patterns like failed login attempts, unusual traffic, and known malicious IPs.
• Sends alerts via email and Slack.
• Triggers an automated response (e.g., blocking an IP via a firewall API).

Features:

✅ Log Parsing: Scans system, firewall, and web server logs for suspicious activities.
✅ Threat Detection: Detects brute force attempts, malicious IPs, and anomalies.
✅ Alerting System: Sends notifications via email and Slack.
✅ Automated Response: Blocks malicious IPs through a firewall API.

UPDATED PROJECT Enhanced with machine learning for anomaly detection and integrated with a threat intelligence feed.