Build an Identity Spoofing Detection Tool

Identity spoofing involves falsifying source identities — such as IP or MAC addresses — to impersonate trusted devices or users. This allows attackers to bypass access controls, hijack sessions, or launch man-in-the-middle attacks. Early detection is essential to mitigate these threats.

This tool listens for abnormal patterns across ARP tables, IP/MAC bindings, and user session logs. It flags conflicting identity records, unauthorized device appearances, and suspicious packet origins by correlating real-time network data with known baselines.

The tool captures network packets and scans ARP tables to track device identity mappings. It builds a baseline of valid IP–MAC pairs and alerts on any deviation or duplication. Login tracking modules verify if a user identity is active in multiple places simultaneously or from improbable locations.

• Scan the local ARP cache or use packet sniffers to monitor MAC/IP mappings in real time.
• Log each device's historical identity for anomaly comparison.
• Track active sessions and login sources for users in multi-user environments.
• Flag spoofing attempts when inconsistencies or impersonations are detected.
• Export reports and logs for investigation or auditing purposes.

• Scapy Packet Sniffing Guide
• ARP Spoof Detection with Python
• MAC/IP Mapping Reference
• Security Onion (for inspiration)
• Packet Analysis using Pyshark