Fraud Prevention

Detect and Block Onchain Fraud Before Funds Leave

Real-time withdrawal fraud detection that outperforms legacy providers by 4X, stopping phishing, scams, and other schemes before transactions execute.

96
%
scam detection vs. 28% from legacy providers in head-to-head benchmarking
$
13
M
saved in Venus phishing attack
70
+
chains scanned continuously with hermetic phishing engine

Real-Time Withdrawal Fraud Detection and Automated Pre-Transaction Decisioning

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Hermetic Phishing Engine

Scans 70+ chains and Web2 sources continuously to detect phishing domains, cloned frontends, drainer contracts, and scam addresses often within minutes of deployment.

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Proprietary Scam Network Clustering

ML-powered clustering identifies fraud rings and hidden wallet relationships that individual address checks miss, catching coordinated scams before they impact your users.

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Automated Fraud Decisioning API

API-first decisioning returns real-time fraud recommendations with supporting evidence enabling automated blocking of high-risk withdrawals and transfers.

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Address Poisoning Detection

Real-time detection of spoofed addresses planted in transaction histories, screening every destination against known malicious addresses before funds are sent.

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Continuous Real-Time Monitoring

Previously screened addresses are continuously re-evaluated as new intelligence emerges, with real-time alerts when risk profiles change.

Proven in Public. Verified Onchain

How Fraud Prevention Works

1
Real-Time Monitoring

Hypernative continuously monitors all transactions, events, and contract deployments, automatically identifying fraud patterns and mapping them to scam clusters.

1
Scam Network Clustering

ML models and graph analysis identify fraud clusters and hidden relationships, combining onchain activity with offchain intelligence sources to confidently flag bad actors.

1
Automated Decisioning

When a user initiates a withdrawal or transfer, the API evaluates the destination against real-time threat intelligence and returns an APPROVE or DENY recommendation with evidence.

1
Continuous Reputation Updates

Addresses are continuously re-evaluated as new intelligence emerges. Previously clean addresses that become linked to fraud clusters are flagged in real time.

Frequently Asked Questions

What is Hypernative Fraud Prevention?

A real-time withdrawal fraud detection and decisioning product that identifies phishing, scams, pig-butchering, address poisoning, drainer activity and other schemes, blocking fraudulent transactions before funds leave via API-first integration.

How does Fraud Prevention differ from legacy compliance tools?

Legacy tools detect fraud after transactions settle, often weeks later. Hypernative detects in real time before the transaction executes. In benchmarking, we identified 96% of scam addresses vs. 28% by competing providers.

What is scam network clustering?

Proprietary machine learning models and graph analysis that identify fraud clusters and hidden wallet relationships across all onchain activity. These models are able to catch coordinated scams that individual address checks miss.

How does the automated decisioning API work?

When a withdrawal or transfer is initiated, the API evaluates the destination in real time and returns an APPROVE or DENY recommendation with supporting evidence, enabling automated fraud blocking.

What types of fraud does it detect?

Pig-butchering scams, investment fraud, phishing domains, drainer contracts, address poisoning, honeypot tokens, impersonation tokens, DNS hijacking, fake airdrops, coordinated scam networks - and more.

How does it integrate?

A single API endpoint that integrates into any withdrawal, transfer, or payment flow. Supports exchanges, custodians, payment providers, and wallets with real-time response at payment-speed latency.

Can I enhance detection with my own data?

Yes. Fraud Prevention can be enhanced with your own historical data for improved detection accuracy specific to your user base and transaction patterns.