Sanctions and compliance lists
Range ingests designations from official government and authority publications. Coverage is network-agnostic for published crypto addresses, so an address listed by a sanctioning body is screened regardless of which chain you query.
The UN Security Council Consolidated List is not in the table because it publishes no crypto addresses (checked September 2026), so there is nothing to match an address against. A UN designation is screened only through a list above that implements it, such as OFAC, the UK, or the EU, and is reported under that list’s signal ID.
The signal ID is how a hit is reported: the
signal value in Address Risk (v2), a risk_categories entry in Address Risk Score (v1), and the signal_id of a sanctions entry in Sanctions & Blacklist Check. Two broader signals are not tied to a single list: sanctioned, for an address on a government sanctions list, and compliance-risk, for an address posing regulatory or compliance risk. List Signals & Behaviours returns the full catalog.
Sanctions and related designations are used by:
- Address Risk (v2), attribution and exposure signals
- Address Risk Score (v1), incorporated into the numeric score
- Sanctions & Blacklist Check, direct screening against every list above and issuer blacklists, one entry per list the address is on
- Payment Risk Assessment, attributed address checks
basis: direct or basis: indirect on each list entry.
Token issuer blacklists
Range monitors onchain blacklist events emitted by token issuer contracts (stablecoins, tokenized gold and cbBTC). When an issuer blacklists an address, it is blocked from transferring their tokens. Address Risk (v2) and Address Risk Score (v1) report these addresses as theblacklisted signal.
Freezes (
blacklist), releases (unblacklist) and burns of a frozen balance (destroyedblackfunds) are tracked, providing current status and event history back to each token’s launch. See Supported Tokens for the complete coverage matrix.
Onchain indexing
Range operates its own indexing infrastructure across supported networks. Counterparty graphs, volume context, and behavioral signals used by Address Risk (v2) are built from Range’s own parsing of blocks and transactions, not from a third-party reseller feed sitting between confirmation and score.Threat intelligence
Range maintains a curated attribution dataset from multiple intelligence sources:Attribution labels
Attributed addresses typically include:name_tag, human-readable labelentity, known organization or clustercategory, type of activity (e.g.hack_funds,scam,phishing)
Machine learning models
Range’s ML models extend coverage beyond traditional list matching by identifying previously undetected threats through behavioral analysis: payment patterns, timing, and counterparty interactions. Addresses flagged by these models are incorporated into risk scoring alongside traditionally attributed addresses.Verified non-malicious addresses
Range maintains verified infrastructure attributions to reduce false positives, including:- System programs, core blockchain infrastructure (e.g. Solana Token Program, System Program)
- Major exchanges, verified exchange deposit and operational wallets
- Verified protocols, established DeFi protocol and program addresses
Data freshness
Once a designation is in Range’s attribution set, related addresses across supported networks can be reflected in subsequent screens without waiting for a separate per-chain republication.