Anti-Detect Browser Detection Solution

Anti-detect browser detection.
Stop disguised account abuse.

Disguised browsers can make repeat signups and risky logins look new. ShieldLabs detects anti-detect browsers and account abuse together, helping you protect offers, paid access and real users.

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Protect trials and incentives

Detect linked users claiming another trial, credit or bonus.

Secure existing accounts

Detect risky access from disguised browsers around sensitive account actions.

Protect paid access

Receive ready-made sharing detections around disguised account access.

Measure genuine growth

Find sources of risky browser traffic before counting it as customer acquisition.

Environment integrity

Detect disguised browsers.
Stop hidden abuse.

Fabricated profiles can make risky requests resemble legitimate visitors. ShieldLabs detects disguised environments to help protect customer access and signup incentives.

Ready-made browser detections

Receive anti-detect browser and device spoofing detections.

IP and network masking detected

Get VPN and proxy detections with the identification result.

Ready-made risk score

Get the identification’s risk score and a trusted, suspicious or dangerous assessment.

The ShieldLabs platform

More than masking detection.
One platform to stop abuse.

Combine browser integrity with identification, network intelligence, risk assessments, bot detection, ready-made account abuse detections and traffic quality analytics.

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

See detected fraud and abuse.
Protect your product.

Find anti-detect browser detections, linked accounts and ready-made risk assessments. See which sources and campaigns bring disguised activity into your product.

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

Ready to put the evidence to work?

Make risk visible.
Stop abuse of your product.

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FAQ

Understand the detection.
Use the evidence.

What is an anti-detect browser?

An anti-detect browser changes the browser profile and exposed device characteristics to make activity appear to come from a different environment.

How does ShieldLabs anti-detect browser detection help prevent fraud?

ShieldLabs detects anti-detect and anti-fingerprinting environments, device spoofing and related risks. Ready-made account abuse detections help stop repeated claims and disguised risky access.

What does anti-detect browser detection return?

ShieldLabs returns named anti-detect browser and device spoofing detections alongside the identification’s risk assessment. You receive the result without building your own detection model.

Do you also detect anti-fingerprinting browsers?

Yes. ShieldLabs detects anti-fingerprinting environments and returns the available masking and spoofing detections with the identification result.

Is browser masking the same as multi-accounting?

They are different results. A browser masking signal describes the environment around an identification; multi-accounting is a ready-made account abuse detection based on linked activity.

Can I receive the detection through an API?

Yes. Read available browser, device and risk data through the Server API and webhooks and use selected data points in your product workflows.

Where can anti-detect browsers cause product abuse?

Disguised browser profiles can accompany account farms, repeated promotion claims, checkout abuse and restricted re-entry. ShieldLabs detects anti-detect browsers and associated account abuse around these web workflows.