Use cases: stop abuse of what you give away

Every abuse problem we see has the same shape: something is given away, and one person takes it many times. FingerPrint Checker answers “has this device, email or household already had it?” at the moment of the claim. Pick the problem closest to yours.

• New account fraud

  Stop scripted and repeat account creation that farms sign-up bonuses and free credits, with device, email and network checks at the moment of sign-up.

• Free trial abuse

  Stop users who restart a free trial with a new email, a new browser or a new account. One trial per device, email and household, with refunds handled.

• Coupon and referral abuse

  Stop one-time coupon reuse and people who refer themselves with a second account. Device-level limits for coupons and a relation check for referrals.

• SMS and OTP fraud

  Cap how many SMS or verification codes one device can trigger in a window, before you pay for the message. No email or sign-in needed.

• Multi-accounting

  Link accounts made from the same device, computer or household, even across browsers, your website and your apps, and flag claims found to be related later.

• Mobile app fraud

  Identify Android and iOS app installs, check that requests come from your genuine app, and see root, jailbreak, hooking and location spoofing on each event.

• Account sharing

  Spot one paid login used on many devices, and one device behind many logins. Count the browsers and devices per account on your server and act on it.

• Account takeover

  Add device and network evidence to every login: a new device for this account, many countries in a short time, VPN, proxy or Tor, and bot results.

• Device authentication

  Recognise a returning trusted device to skip the extra step, and step up when the device is new, the network is risky or the app has been tampered with.

• Paywall and metered access

  Keep a free-article or free-use counter that clearing cookies does not reset. A visitor ID that does not depend on storage, counted on your server.

• Returning visitors

  Know whether a visitor has been here before, across sessions and before login. Use the isNew flag and a stable visitor ID to personalise and to cut friction.

• Payment fraud

  Read network, VPN, proxy, bot and velocity signals on checkout events, so card testing and repeat chargebacks from one device stand out.

• AI token fraud

  Protect free AI credits and API tokens from scripted sign-ups and shared keys, using device, network and velocity signals on each request.