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Wallet Risk Scan

Risk signals · Sanctions · Threat intelligence

Multi-chain wallet risk analysis·Detect scam contracts & drainers·On-chain behavior fingerprinting·Counterparty network mapping·AI-powered risk explanations·Token approval auditing·Sybil & airdrop farmer detection·Real-time threat intelligence·
Crypto'sCheqed0

Risk Score

0-100 composite risk score with LOW, MEDIUM, or HIGH risk level.

OFAC Sanctions

Direct screening against U.S. Treasury OFAC SDN lists across 8 chains (ETH, BTC, BSC, SOL, TRX, ARB, USDT, USDC).

GoPlus Security

Live malicious-address, phishing-activity, blacklist-doubt, and fake-KYC signals.

Curated Scam DBs

Aggregates ~18k known dangerous addresses from MEW darklist, ScamSniffer, Forta labels, and Etherscan flagged accounts.

Threat Intel DB

Cross-references community reports, exploit-intel, and known-address labels collected in our own DB.

Phishing Exposure

Detects interactions with known phishing contracts and domains.

Drainer Detection

Identifies drainer-like flow patterns and suspicious asset-out behavior.

Address Poisoning

Detects poisoned-address patterns that can lead to misdirected transfers.

Funding Chain Tracer

Traces recent inbound funding hops to surface risky origin paths.

Peeling Chain Detector

Detects peel-style laundering flows across sequential transfers.

Indirect Exposure

Measures risk exposure through counterparties even without direct hits.

MEV Exposure

Flags sandwich and front-run patterns associated with MEV activity.

Flash Loan Detector

Detects flash-loan transaction patterns and related risk implications.

Community Reports

Aggregates wallet reports submitted by the community.

ML Risk Model

Applies model-based classification to blend behavioral and threat signals.

On-chain History

Tracks score evolution, counterparties, and activity trends over time.

Multi-chain

Runs the analysis across supported EVM and non-EVM chain families.

© 2026 CryptoCheq. All rights reserved. The software, analytics models, and methodologies are proprietary intellectual property of CryptoCheq. All outputs are provided for informational purposes only and are based on publicly available blockchain data and statistical models. Results may be incomplete, approximate, or subject to error and should not be considered financial advice or guarantees of accuracy.
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