Continuous monitoring of systems and networks is crucial to detect, prevent, and respond to cybersecurity threats.
While Security Operation Centers (SOC) monitor networks in real-time, isolated networks require portable, self-contained tools for offline log collection, analysis, and reporting.
This project aims to build a portable log analysis tool for isolated networks with the following key features:
- Cross-platform portability (Windows, Linux, Mac)
- Multi-source log collection (Syslog, Event Logs, USB devices, network traffic)
- Log parsing and normalization
- Anomaly & threat detection
- Offline web-based dashboard
- Secure encryption & authentication
- Reporting and export capabilities
Purpose: Core language for scripting, automation, and cross-platform execution.
Key Modules:
os, subprocess, hashlib, sqlite3, logging
Reference: Python Docs
| Tool / Library | Purpose | Logo / Link |
|---|---|---|
syslog-ng |
Capture Syslog logs from network devices | |
pywin32 |
Parse Windows Event Logs | |
pyudev |
Access USB / Peripheral logs on Linux | |
scapy |
Capture & analyze network traffic |
| Tool / Library | Purpose | Logo / Link |
|---|---|---|
pandas |
Structure and analyze logs | |
pyod |
Detect anomalies & outliers | |
scikit-learn |
Machine learning-based analysis |
| Framework / Method | Purpose | Logo / Link |
|---|---|---|
| MITRE ATT&CK | Map logs to known TTPs for attacks | |
| Rule-based / Heuristic Analysis | Custom detection using signatures & behavior |
| Tool / Library | Purpose | Logo / Link |
|---|---|---|
Flask |
Offline web-based dashboard | |
Matplotlib / Plotly |
Charts & log visualization |
| Tool / Library | Purpose | Logo / Link |
|---|---|---|
cryptography |
AES encryption of logs | |
Flask-Login |
User authentication for access control |
| Tool / Library | Purpose | Logo / Link |
|---|---|---|
ReportLab / FPDF |
Generate PDF reports | |
pandas |
Export CSV / Excel files |
| Tool / Library | Purpose | Logo / Link |
|---|---|---|
PyInstaller / cx_Freeze |
Package Python scripts as executables |
- YouTube Tutorials:
- Offline Log Analysis Tool Using Python
- Syslog Monitoring & Visualization with Python
- Detecting Network Anomalies using PyOD
- GitHub Repositories: Python-based log analyzers for isolated networks
- Articles / Blogs: Medium tutorials on log analysis, network security, and offline SOC tools
The portable log analysis tool leverages Python and its rich ecosystem to create a fully functional, offline, and cross-platform solution for isolated networks. Key features include multi-source log collection, parsing, anomaly detection, secure storage, offline visualization, and reporting.