Cybersecurity
Network Intrusion Detection System
Machine-learning anomaly detection over live network traffic
- Python
- Scapy
- XGBoost
- Kafka
- +2
Cybersecurity · Major Project
Crawls a lab web app and reports common web weaknesses
Overview
A scanner that crawls an in-scope target, maps its forms and parameters, and checks each one for common web weaknesses along with insecure headers, cookie flags and directory listings. It is built and demonstrated only against DVWA running in Docker, and every finding lands in a report with severity, evidence and a suggested fix.
What makes it stand up
Module breakdown
Walks in-scope pages and records every form and parameter.
Runs a configurable set of checks against each input field.
Inspects response headers, cookie flags and listings.
Refuses any host outside the configured allow-list.
Groups findings by severity with evidence and fixes.
After this, you will be able to
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Cybersecurity
Machine-learning anomaly detection over live network traffic