Risk Endpoints
Evaluate blockchain addresses, transactions, and smart contracts for potential threats using Range’s advanced risk assessment capabilities.Address Risk Score
Get comprehensive risk scores for blockchain addresses using network
proximity analysis and ML-based threat detection.
Transaction Risk Score
Assess the risk level of specific blockchain transactions before execution.
Sanctions & Blacklist Check
Check if an address appears on OFAC, EU, UK, UN or other sanctions lists and
blacklists.
Smart Contract Risk
Evaluate smart contracts for security vulnerabilities and malicious code
patterns.
Token Risk Assessment
Assess the risk profile of tokens including liquidity, holder distribution,
and contract security.
Payment Risk Assessment
Real-time risk evaluation for payment transactions and fund transfers.
Risk Assessment Methodology
Range’s risk scoring combines multiple data sources and analytical techniques:Network Proximity Analysis
Network Proximity Analysis
Analyzes the shortest path distance between addresses and known malicious
entities across the transaction graph. Research shows that malicious actors
exhibit clustering behavior and maintain greater distances from regulated
exchanges.
Machine Learning Models
Machine Learning Models
Proprietary ML models trained on verified malicious addresses extract
behavioral signatures to identify previously undetected threats, expanding
coverage beyond traditional threat intelligence.
Threat Intelligence
Threat Intelligence
Integrates data from sanctions lists (OFAC, EU, UK, UN), confirmed exploits,
scams, phishing attacks, and other verified malicious activity sources.
Behavioral Analysis
Behavioral Analysis
Examines transaction patterns, timing behaviors, counterparty relationships,
and other on-chain activity to identify suspicious patterns.
Use Cases
Transaction Screening
Screen counterparties before high-value transfers to prevent sending funds
to malicious addresses.
Compliance Monitoring
Automated AML/KYC compliance with real-time sanctions screening and risk
scoring.
Fraud Prevention
Detect address poisoning, phishing attempts, and other fraud schemes before
they impact users.
Security Analysis
Investigate smart contract security, token legitimacy, and counterparty risk
for protocols and treasuries.