Individual skill
analyzing-ransomware-leak-site-intelligence
Monitor and analyze ransomware group data leak sites (DLS) to track victim postings, extract threat intelligence on group tactics, and assess sector-specific ransomware risk for proactive defense.
internal/tools/skills/data/threat-intelligence/analyzing-ransomware-leak-site-intelligence/SKILL.md
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- Last checked
- Nov 7, 2026
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- 1,310
- Repository last updated
- Nov 7, 2026
- 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
- ransomware Declared skill tag
- leak-site Declared skill tag
- data-leak Declared skill tag
- extortion Declared skill tag
- threat-intelligence Declared skill tag
- monitoring Declared skill tag
- dls Declared skill tag
- victim-tracking Declared skill tag
- data Derived category
- security Derived category
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# Analyzing Ransomware Leak Site Intelligence
## Overview
Ransomware groups operating under double-extortion models maintain data leak sites (DLS) on Tor hidden services where they post victim names, stolen data samples, and countdown timers to pressure payment. In H1 2025, 96 unique ransomware groups were active, listing approximately 535 victims per month. Monitoring these sites provides intelligence on active threat groups, targeted sectors, geographic patterns, and emerging ransomware families. This skill covers safely collecting DLS intelligence, extracting structured data, tracking group activity trends, and producing sector-specific risk assessments.
## When to Use
- When investigating security incidents that require analyzing ransomware leak site intelligence
- When building detection rules or threat hunting queries for this domain
- When SOC analysts need structured procedures for this analysis type
- When validating security monitoring coverage for related attack techniques
## Detection Gaps & Validation