The Challenge: Alert Fatigue and Noisy Protocols
DNS is the noisiest protocol on any network. Adversaries exploit this by hiding command-and-control (C2) beacons and data exfiltration within DNS queries. Finding a malicious payload among millions of legitimate requests is incredibly difficult.
Filtering for long queries (dns.qry.name.len > 50) in Wireshark yields thousands of false positives from legitimate CDNs and tracking domains.
Spotting DGA (T1568.002) mathematically requires exporting PCAPs to CSV and running custom Python scripts to calculate Shannon entropy.
"We filtered for anomalous TXT records, but the Cobalt Strike beacon was hiding in plain sight using dynamically generated A-records. Manual correlation took days."
The Solution: Heuristic & Entropy Analysis
Pcap AI automates the mathematical heavy lifting. Our ML engine analyzes the lexical structure, query frequency, and payload entropy of every single DNS packet in your capture file instantly.
- ✦ Data Exfiltration Blocked: Identified unusually large, encoded subdomains pointing to a newly registered, untrusted registrar.
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DGA Detection: AI flagged algorithmically generated domains (e.g.,
x8f9q2p.malicious.com) that bypass standard threat intel blocklists. - ✦ Noise Reduction: Smart baselining filtered out legitimate background noise from CDNs, anti-virus updates, and cloud telemetry.
- ✦ MITRE Mapping: Threats automatically mapped to T1071.004 (Application Layer Protocol: DNS) and T1568.002 (DGA).
Wireshark Manual Analysis vs. Pcap AI
Manual (Wireshark)
Exporting DNS logs to CSV, running custom Python entropy scripts, and sorting through false positives. Process takes 1–2 hours.
Pcap AI
Instant lexical analysis, DGA scoring, and automated MITRE mapping. Process takes less than 20 seconds.
*Based on a 1GB PCAP file with heavy DNS traffic.
Frequently Asked Questions
How do you find DNS tunneling in Wireshark?
Analysts usually start by filtering for long queries (dns.qry.name.len > 50) or looking for unusual TXT records (dns.qry.type == 16). However, this produces massive false positives. Pcap AI uses entropy analysis to accurately separate malicious exfiltration from normal network noise.
What is MITRE ATT&CK T1071.004?
It describes adversaries using DNS (an Application Layer Protocol) to communicate with command-and-control (C2) servers or exfiltrate data, bypassing firewalls by hiding malicious traffic within a legitimate, universally allowed protocol.
AI Analysis Output (Sample)
