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Fraud Detection for E-Commerce

Stop Chargeback Fraud, Card Testing & Friendly Fraud

E-commerce fraud has moved beyond stolen cards. Coordinated fraud rings use residential proxies to look like real customers until the chargebacks hit. Maskbreak catches them before checkout.

< 40msResponse time globally
Free1,000 requests/hour — no card, no expiry
0CAPTCHAs required
400+Device signals per session

What E-Commerce platforms face in 2026

Friendly fraud & chargeback rings

Coordinated groups of accounts use residential proxies to appear as unrelated customers, make purchases, then dispute them all simultaneously. Network-layer checks can see 400 different "real" users — Maskbreak links them to one device cluster.

Card testing at scale

Bots test stolen card numbers with micro-transactions across your checkout flow. Each bot rotates IPs and device fingerprints — but behavioral and device signals expose the automation.

Account takeover & loyalty point theft

Credential stuffing bots take over customer accounts to steal loyalty points, gift card balances, and saved payment methods.

Promo & coupon abuse

Automated accounts claim single-use promo codes repeatedly, rotating emails, devices, and proxies to bypass per-account limits.

What Maskbreak does for you

  • Recognize returning fraudulent devices at checkout — same device, new account, new card
  • Detect card testing bots via behavioral and device signals
  • Stop account takeover without adding login friction
  • Identify proxy-masked promo abuse across multiple "accounts"
  • Integrate in 5 minutes — works alongside Stripe, Shopify, WooCommerce
€41K

saved in 90 days in our illustrative composite scenario of an e-commerce brand catching a coordinated chargeback ring

[ Read Full Case Study ]

Where the check goes

The two call sites that pay for themselves fastest: checkout (before the payment request leaves your server) and account creation. Screening the session before your payment gateway sees the card keeps card-testing bots out of your authorization rate, your fraud score with the acquirer, and your per-attempt fees.

// Screen the session before the card ever reaches your PSP
const verdictRes = await fetch('https://maskbreak.com/v1/evaluate', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer ' + process.env.SENTINEL_KEY,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({ token: req.body.sentinel_token })
});
const risk = await verdictRes.json();
if (risk.decision === 'block') return res.status(403).json({ error: 'Order blocked' });
if (risk.decision === 'review') flagForReview(risk.reasons);

The signals that matter for e-commerce

Card testing before the gateway. Carders validate stolen card lists against real checkouts using residential proxies and randomized timing — from the network side each attempt looks like a new shopper. The tell is the device layer: automation artifacts, spoofed fingerprints, and the same hardware reappearing behind "different" customers. Catching that before the authorization request is the difference between a blocked bot and a fraud-score problem with your acquirer.

Guest checkout isn't anonymous to the device graph. Serial refund abusers and coupon farmers rotate emails and use guest checkout to look like first-time buyers. Hardware-level identity ties those sessions together across weeks, without requiring accounts or cookies that privacy tools clear.

Checkout automation with stealth patches. Sneaker-drop and inventory-hoarding bots run Playwright and Puppeteer behind residential IPs that pass every network check. The device integrity signals — headless artifacts, input timing, environment tampering — are where they stay visible.

Layered evidence beats single signals. Any one signal can innocently fire — a VPN alone is often a privacy-conscious customer. Maskbreak returns each signal separately: network origin (proxy / VPN / datacenter), automation and tampering flags, and device identity reappearing behind "different" customers (device.times_seen, device.linked_accounts). A residential-proxy checkout from a device already linked to three accounts scores very differently from a VPN alone.

Common questions

What kinds of e-commerce fraud does Maskbreak stop?
Maskbreak blocks card testing, sneaker bots, coupon abuse, friendly-fraud chargebacks, and coordinated multi-accounting. Each session is scored on more than 400 signals including residential-proxy usage, antidetect browser fingerprints, and behavioral anomalies.
How does Maskbreak reduce chargebacks?
By flagging high-risk sessions before authorization, merchants send fewer fraudulent orders to payment processors — the fraud is stopped before it becomes a dispute, without adding friction for legitimate shoppers.
Will real shoppers see CAPTCHAs?
No. Maskbreak uses passive device and network fingerprinting — there are zero CAPTCHAs by default. Legitimate shoppers experience normal checkout; high-risk sessions can be routed to step-up verification if you choose.
Does Maskbreak integrate with Shopify, WooCommerce, and Stripe?
Yes — via the JS tag plus REST API, which drop into Shopify themes, WooCommerce, Magento, BigCommerce, and custom headless stacks. Most stores are live in under an hour; official Node and Python SDKs are available.
How is pricing structured for e-commerce?
The free tier covers 1,000 API requests per hour — enough for most Shopify and early-stage stores. Higher sustained volume is covered by the Growth tier (€49/mo founding price) or Enterprise terms with invoice billing.

Start protecting your e-commerce platform

Free tier: 1,000 requests/hour. No card, no expiry. Detects residential proxies, antidetect browsers, and AI bots.

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