CARA
Crypto Analysis Risk Assessment
Intuitive machine-learning solution that classifies the risk level of crypto addresses based on learned behaviors of both known malicious wallets and normal wallets.
Overview
CARA (Crypto Analysis Risk Assessment) is Uppsala Security's flagship machine-learning solution designed to classify the risk level of cryptocurrency addresses. The system operates as an on-demand subscription via Sentinel Portal and runs as a batch process that continuously analyses any crypto address Uppsala Security discovers.
Risk Assessment
Proactively identify malicious wallets and intermediate suspicious wallets used for multiple hops of relay by learning obfuscation patterns employed by malicious actors.
Risk Scoring
Classify each task as normal, suspicious, highly suspicious, or malicious based on specific criteria and associate weights that accurately reflect danger levels.
AML & CTF
Help businesses dealing with cryptocurrencies ensure they don't inadvertently transact with cybercriminals, money launderers, or terrorists.
Key Features
Machine Learning Intelligence
- • Advanced pattern recognition for malicious wallet identification
- • Continuous learning from new threat data
- • Behavioral analysis of wallet transaction patterns
- • Obfuscation pattern detection
Risk Classification
- • Four-tier risk classification system
- • Weighted scoring based on threat severity
- • Real-time risk assessment updates
- • Historical risk trend analysis
Collective Security Intelligence
CARA is part of Uppsala Security's broader ecosystem of security intelligence tools, accessible through the Sentinel Portal. This integration allows for comprehensive threat analysis and collaborative security efforts across the cryptocurrency ecosystem.
The system continuously evolves through collective intelligence gathering, making it increasingly effective at identifying new threats and attack patterns in the rapidly evolving cryptocurrency landscape.