The Challenge: Manual Packet Hunting
Detecting an Adversary-in-the-Middle (AitM) attack in a massive network dump is like finding a needle in a haystack. Traditional forensic workflows are often too slow to catch active threats before data exfiltration occurs.
Correlating MAC conflicts with gateway IPs (e.g., 192.168.1.1) manually takes hours of tedious work.
Identifying Active Scanning (T1595) requires complex Wireshark filters or custom Zeek/Suricata scripts.
"While incident responders struggle with arp.duplicate-address-detected filters, the attacker has already gained persistent access to the segment."
The Solution: AI-Driven Automated Forensics
Pcap AI eliminates manual packet hunting by applying machine-learning models to your raw traffic data. Within seconds, it reconstructs the network topology and surfaces behavioral anomalies.
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✦
ARP Cache Poisoning: Identified host
192.168.1.105maliciously claiming the MAC address of the subnet gateway. -
✦
Active Reconnaissance: Endpoint
192.168.1.104flagged for aggressive TCP SYN scans across the local segment. - ✦ MITRE Mapping: Every finding is automatically mapped to T1557.002 and T1595 tactics for instant compliance reporting.
- ✦ Immediate Containment: Get precise isolation data to revoke switch port access or quarantine infected endpoints before data leaves the perimeter.
Wireshark Manual Analysis vs. Pcap AI
Manual (Wireshark)
Setting display filters, exporting endpoint lists, and manual correlation. Process takes 30–60 mins.
Pcap AI
Instant extraction and automated threat mapping. Process takes less than 15 seconds.
*Based on a 500MB PCAP file analysis.
Frequently Asked Questions
Why is manual ARP detection in Wireshark unreliable?
Manual filtering for arp.duplicate-address-detected only flags conflicts as they happen. Pcap AI performs a global heuristic analysis of the entire ARP state machine, catching subtle poisoning attempts that simple filters often miss.
What is MITRE ATT&CK T1557.002?
It refers to ARP Cache Poisoning (Adversary-in-the-Middle), where an attacker intercepts traffic by spoofing ARP messages on a local network.
AI Analysis Output (Sample)
