Cryptocurrency Fraud & Abuse Prevention

Crypto fraud prevention.
Protect accounts and allocations.

Multiple participant accounts and automated claims can consume allocations intended for eligible members. ShieldLabs detects multi-accounting and bots in Web3 web interfaces to help protect program access and rewards.

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your-web3-product.com/claim

Claim your allocation

Join this browser-based program.

Connected wallet0x29E6…F38A
Program accountAccount 3
ClaimNew allocation
Risk detected

Browser automationProxy

Multi-accounting detected

Protect allocations

Keep program rewards for eligible participants.

Preserve fair participation

Help stop extra accounts from taking repeat access.

Stop automated enrollment

Keep scripted requests from consuming program capacity.

Protect account access

Detect risky access to exchange and program accounts.

Program participation

Keep one claim per participant.
Protect Web3 allocations.

ShieldLabs detects multi-accounting at browser-based program enrollment and exchange signup. Help protect airdrop allocations, allowlists, welcome incentives and referral rewards from repeat participation.

Browser-based enrollment

Stop scripted claims.
Keep programs accessible.

ShieldLabs detects bots and headless browsers reaching enrollment and claim interfaces. Preserve access for legitimate participants instead of automated account farms.

Expose disguised requests

Detect proxies and anti-detect browsers around Web3 enrollment and claim flows.

Find risky acquisition sources

See the channels, referrers and campaigns bringing automated traffic to your Web3 enrollment and claim flows.

Exchange account security

Protect customer access.
Stop account takeovers.

ShieldLabs detects account takeover and impossible travel around exchange account access. Help protect customer accounts before withdrawals, payment changes and other sensitive web actions.

The ShieldLabs platform

More than one fraud check.
Protect your entire product.

Connect identification, device and network intelligence, bots, named risk signals and ready-made account abuse detections. Traffic quality analytics gives the sources behind risky activity.

Enterprise-level functionality. Without enterprise pricing.

Accurate identification

Recognize returning visitors even when they clear cookies, use incognito mode or change their IP address. Detect linked users with different email addresses.

99.9%

Identification accuracy

UsersDevicesVisitorsPublic IPsLocal IPsCookiesSessions

High-Risk Event detection

Detect account abuse out of the box by automatically identifying linked users. No fraud model training is required.

Risk signals

Get ready-made detections of automation, masking and spoofing, with named risk signals behind each result.

VPNProxyPrivate RelayTor NetworkCheck IncompleteAnti-Detect BrowserBanned IPIncognito modeGood botTimezone MismatchBad bot

Bot & AI traffic detection

Detect bot activity from browser automation signals. Recognize useful crawler and AI traffic alongside abuse detections.

Risk scoring

Score every visit from 0 to 100 and classify it as trusted, suspicious or dangerous. See the signals behind each score.

Device fingerprinting

Recognize devices by their fingerprints. Identify the browser, operating system and device type. Detect headless browsers and tampering.

IP & Network Intelligence

Reveal the real IP address and geolocation behind masking. Detect VPNs, proxies and private relays.

Traffic quality scoring and risk analytics

Get one score for all your traffic and ready-made quality results by source, channel, referrer and UTM campaign.

13Trusted
0100
Trusted61.0%Suspicious24.5%Dangerous14.5%

Analytics dashboard

Find risky accounts and visits.
See the sources behind them.

Explore visitors, users, devices and IPs with detected account abuse and identification risk assessments. See traffic quality by channel, referrer and campaign.

How it works

Start protecting your product.

Connect once and start receiving ready-made fraud and abuse detections.

  1. 01

    Add the snippet or SDK

    Connect your product and start identifying visitors and users.

  2. 02

    Receive ready-made detections

    Get detected fraud and account abuse in the dashboard or through API integrations.

  3. 03

    Prevent fraud and abuse

    Protect customer accounts, paid access and signup incentives in your product.

Developers

Integrate in
5 minutes.

A single API to identify, detect and score. Receive risk data through API responses and webhooks. Integrate selected data points into your business logic to prevent fraud and abuse.

identification.scored

Protect your users and product

Stop repeat participation.
Protect Web3 rewards.

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FAQ

Understand the evidence.
Put it to work.

What is Sybil abuse in Web3?

Sybil abuse is participation through multiple accounts or identities controlled by one participant to obtain disproportionate access or rewards.

How does ShieldLabs help prevent fraud and abuse in Cryptocurrency?

ShieldLabs detects multi-accounting, bots and account takeover around your web product. Ready-made risk assessments help protect access, incentives and legitimate customers.

Can ShieldLabs detect repeat Web3 enrollment with different emails?

Yes. ShieldLabs detects multi-accounting among registered web participants and bots at program signup or claim. It does not claim on-chain proof that two wallets belong to one person.

Does visitor recognition work after cookies are cleared?

Yes. ShieldLabs recognizes returning visitors across new sessions, cleared cookies, incognito browsing and IP changes. These are visitor-recognition capabilities.

How do I integrate ShieldLabs?

Add the browser snippet or client SDK to your web product. Receive identification results, risk signals and account abuse detections through the dashboard, API integrations and webhooks.

How can a Web3 program use the result?

Use Trusted, Suspicious and Dangerous assessments around browser-based enrollment and claims to protect airdrop or community access without treating a wallet label as proof of a unique human.

What does ShieldLabs identify in a Web3 program?

ShieldLabs identifies web visitors and registered program accounts and detects account abuse around browser-based participation. Wallet labels and allocation records are supplied by your program.

Can this protect exchange referral offers as well as Web3 enrollment?

Yes. Multi-accounting detection helps protect repeat signup benefits and referral rewards. Bot and account takeover detections add protection around enrollment, claims and exchange account access.