Documentacion renderizada
Esta pagina renderiza Markdown y Mermaid del modulo directamente desde la fuente publica de documentacion.
Overview#
Cybercrime Investigation Intelligence provides investigative depth for complex cybercrime cases including ransomware incidents, data breaches, intellectual property theft, and nation-state espionage. The platform delivers multi-source threat intelligence aggregation, dark web marketplace surveillance, advanced malware analysis, and cryptocurrency tracing capabilities for digital crime analysis and prosecution.
Key Features#
Threat Actor Intelligence#
Deep profiles on 300+ APT groups, ransomware gangs, and cybercrime syndicates. Track threat actor tactics, techniques, and procedures over time. Identify connections between campaigns and attribute attacks to specific groups.
Dark Web Monitoring#
Real-time surveillance of Tor hidden services, I2P networks, and underground marketplaces. Monitor for stolen data, compromised credentials, exploit sales, and criminal service offerings relevant to your investigations.
Digital Forensics Suite#
Memory forensics, network PCAP analysis, malware reverse engineering, and timeline reconstruction. Analyze compromised systems, extract indicators of compromise, and reconstruct attack sequences for prosecution.
Cryptocurrency Crime Tracing#
Ransomware wallet tracking, dark web payment analysis, and laundering detection. Follow cryptocurrency flows from criminal activity through mixing services to cash-out points for attribution and asset recovery.
Attack Campaign Analysis#
Kill chain reconstruction, MITRE ATT&CK mapping, and command-and-control infrastructure attribution. Understand complete attack campaigns from initial access through data exfiltration, linking technical evidence to threat actors.
Victim Intelligence#
Breach notification support, stolen credential monitoring, and PII exposure detection. Identify and notify affected parties when compromised data surfaces on dark web markets or paste sites.
ML-Based Attribution#
Behavioral pattern analysis, code reuse detection, and infrastructure clustering. Machine learning techniques identify shared tools, techniques, and infrastructure across campaigns for threat actor attribution.
Use Cases#
- Ransomware Investigation: End-to-end investigation from initial compromise through encryption, payment tracing, and attribution to ransomware groups for prosecution and disruption.
- Data Breach Response: Investigate breach origin, scope, and impact with forensic analysis, stolen data monitoring, and victim notification support.
- Dark Web Intelligence: Monitor underground markets for stolen data, exploit offerings, and criminal services related to active investigations or organizational threats.
- Nation-State Threat Analysis: Track advanced persistent threat groups, map their infrastructure, and attribute campaigns through behavioral and technical analysis.
Integration#
Connects with threat intelligence platforms, SIEM systems, incident response tools, and law enforcement case management. Supports STIX/TAXII intelligence sharing and integration with blockchain analysis platforms.
Last Reviewed: 2026-02-05