Individual skill

hunting-for-data-exfiltration-indicators

Hunt for data exfiltration through network traffic analysis, detecting unusual data flows, DNS tunneling, cloud storage uploads, and encrypted channel abuse.

internal/tools/skills/data/threat-hunting/hunting-for-data-exfiltration-indicators/SKILL.md

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Last checked: Nov 9, 2026

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Repository stars (not skill ratings): 1,329
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License: Apache-2.0

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cybersecurity Repository topic
security Repository topic
bug-bounty Repository topic
automation Repository topic
autonomous-pentesting Repository topic
ai-agent Repository topic
ai-security Repository topic
ethical-hacking Repository topic
golang Repository topic
penetration-testing Repository topic
threat-hunting Declared skill tag
mitre-attack Declared skill tag
data-exfiltration Declared skill tag
dlp Declared skill tag
network-analysis Declared skill tag
proactive-detection Declared skill tag
data Derived category
security Derived category

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# Hunting for Data Exfiltration Indicators

## When to Use

- When hunting for data theft in compromised environments
- After detecting unusual outbound data volumes or patterns
- When investigating potential insider threat data theft
- During incident response to determine what data was stolen
- When threat intel indicates data exfiltration campaigns targeting your sector

## Detection Gaps & Validation

- **"Low and slow" defeats volume thresholds:** T1030 size-limited transfers and T1029 scheduled exfil stay under daily-byte baselines — sum bytes-out per destination over 7–30 days and alert on cumulative volume, not single sessions.
- **DNS tunneling (T1048.003):** encoded data in long/high-entropy subdomains and high TXT query rates needs DNS logs (Sysmon EID 22 or resolver logs) plus entropy/length scoring — invisible if only NXDOMAIN or aggregated DNS is retained.