πŸ›‘οΈFraud Prevention

Fuul includes multiple layers of protection to ensure that only legitimate users receive rewards, safeguarding your budget from sybil attacks, self-referrals, and other abuse.

Sybil detection

A sybil attack occurs when someone creates multiple fake identities (wallets) to exploit your rewards system β€” claiming airdrops, manipulating staking rewards, or inflating referral counts with fake accounts.

Fuul uses machine learning and behavioral analysis to detect and prevent these attacks:

Protection
How it works

Behavioral cluster detection

ML model analyzing 30+ onchain behavior signals (funding sources, transaction patterns, timing) to identify wallets likely operated by the same user

Self-referral detection

Detects when a referrer and end user share the same browser session (tracking ID), indicating the user referred themselves

Bot activity detection

Analyzes frontend and onchain data to identify automated software

Payout caps

Limit the maximum rewards a single account can earn within a time window (e.g., monthly caps)

Continuous monitoring

Real-time adaptation based on evolving patterns, with detailed reporting on flagged accounts

What happens when fraud is detected?

When fraud is identified in the referral attribution pipeline:

  • The referrer payout is blocked β€” the fraudulent referrer does not receive rewards

  • The end user still receives their payout β€” legitimate user activity is not penalized

  • The attribution is flagged for visibility in the dashboard

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Self-referral detection is always enabled for all projects. Other fraud detection features can be configured per project.

Blacklist

Projects can maintain a blacklist of addresses that should be excluded from earning any rewards. When a blacklisted address triggers an event, the execution is automatically rejected β€” no attribution or payout is created.

Feature
Description

Project-scoped

Each project manages its own blacklist. An address blacklisted by one project can still earn rewards in another.

Immediate effect

Once an address is added, all subsequent trigger executions for that address are rejected

Managed via webapp

Add or remove addresses with optional labels for identification

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Wallet screening

Wallet screening checks whether a wallet address is allowed to receive payouts at the time rewards are distributed. This is a system-level compliance check separate from the project blacklist.

Feature
Description

Runs at movement creation

Screening happens when a payout is converted into a movement (the final distribution step)

Rejected movements are recorded

Blocked wallets still have their movements persisted for audit purposes, with status = rejected

Fail-open behavior

If the screening service encounters an error, the wallet is allowed through β€” preventing legitimate wallets from being blocked by service issues

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Wallet screening is separate from the blacklist: the blacklist is managed by each project for their own needs, while wallet screening is a platform-level compliance mechanism.

Viewing fraud activity

In the Fraud Detection tab of the dashboard, you can see everything Fuul detects and blocks:

  • View transactions marked as pending and decide whether to approve or reject them

  • See transactions that have been automatically declined

  • Review flagged accounts and their activity patterns

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