Threat Hunting Guide

How to Detect Malware Exfiltration and Recover Attacker Credentials

Catch infostealers exfiltrating sensitive data over FTP, map the attack to MITRE T1048.003, and automatically extract the malware's hardcoded drop-server credentials.

The Challenge: Blind Spots in Data Exfiltration

When an endpoint gets infected by an Infostealer (like AgentTesla), the malware aggregates saved browser passwords, cookies, and system data, then silently exfiltrates this "loot" to an external drop server. Because attackers sometimes use unencrypted, standard protocols like FTP to bypass basic firewall rules, spotting the exact moment data leaves the network is incredibly difficult.

Lost in the Noise

Standard network monitors might just see regular FTP traffic on port 21 and ignore it, missing the fact that corporate data is being actively looted.

Manual Forensics

Manually carving out the exact stolen files and finding the attacker's Command and Control (C2) IP in Wireshark takes hours during a critical incident.

The Solution: Automated Detection & The "Forensic Jackpot"

Pcap AI turns the attacker's sloppy OPSEC into your biggest advantage. Our engine instantly flags the unencrypted data transfer, maps the behavior, and automatically extracts the credentials the malware uses to log into its own drop server.

  • MITRE T1048.003 (Exfiltration Over Unencrypted Protocol): Instantly detects abnormal outbound data transfers over FTP, proving exactly when and where the looting occurred.
  • C2 Credential Recovery: Because the malware uses unencrypted FTP, Pcap AI extracts the attacker's hardcoded username and password (MITRE T1040), giving your Incident Response team the keys to the drop server.
  • Enterprise-Grade Redaction: To maintain strict SOC2/GDPR compliance, all recovered plaintext passwords are mathematically masked (e.g., P********3) in the final PDF report. We prove the exposure without creating a new security risk.

Wireshark Manual Analysis vs. Pcap AI

Manual (Wireshark)

Filtering by ftp.request.command == "USER" or following TCP streams to manually piece together the exfiltration timeline.

Pcap AI

Automated mapping to MITRE ATT&CK and extraction of attacker IPs and masked passwords in less than 20 seconds.

Try it yourself with the original PCAP

The network traffic analyzed in this case study was sourced from the excellent community repository malware-traffic-analysis.net . You can download the exact .pcap file from their site to test our engine.

AI Analysis Output (Sample)

AI Analysis Proof for How to Detect Malware Exfiltration and Recover Attacker Credentials
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