analyzing-network-traffic-for-incidents

To detect beaconing and data exfiltration from PCAP files, you analyze network traffic using an automated Python agent that extracts indicators and identifies adversary activity. This approach correlates Zeek logs and IDS alerts to pinpoint malicious patterns.

Yes, you can identify lateral movement across internal hosts by analyzing PCAP data and Zeek logs. The automated process extracts indicators of lateral movement using common protocols to highlight suspicious internal host communications.

The best way to generate a structured incident report from network traffic analysis is to run an automated Python agent against PCAP files. It correlates Zeek and IDS data to produce a concise report detailing adversary activity for IR teams.

You need standard tooling like Wireshark/tshark, Zeek, and Suricata to analyze network traffic for security incidents. The Skill relies on these tools alongside a Python agent and the scapy dependency to process PCAPs and extract indicators.

Yes, this network forensics approach works with IDS alerts and enterprise network traffic. It correlates IDS data and Zeek logs from enterprise networks to detect adversary activity, applicable to threat hunting and forensic investigations.

The automated Python agent extracts beacons and lateral movement indicators from PCAPs by parsing raw network traffic and correlating it with Zeek logs. It identifies adversary activity patterns to build a structured incident report.