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Fraud Types

New Account Fraud

New account fraud is the creation of accounts using stolen, fake, or synthetic identities in order to commit fraud from the outset. Unlike account takeover, which hijacks an existing account, it manufactures fresh accounts as the vehicle for abuse.

How it works

How New Account Fraud works

New account fraud, sometimes called account-opening fraud, happens at the very start of the customer lifecycle. Rather than compromising a legitimate account, the fraudster registers a new one under an identity they are not entitled to use, whether a stolen real identity, a fully fabricated one, or a synthetic composite of real and fake data, so the account is malicious from the moment it is created.

To pass onboarding and verification, fraudsters supply data that looks consistent and legitimate: matching names and addresses from stolen identity packages, fabricated or manipulated documents, virtual phone numbers, and disposable emails. They mask the true origin of the signup with VPNs, residential proxies, and anti-detect or private-browsing environments so the registration does not obviously tie to other fraudulent accounts or to a flagged location, and at scale they automate account creation to open many at once.

The purpose of the fresh account varies. It may exist to receive and cash out a stolen card or loan, to farm sign-up bonuses and promos, to launder value, to place fraudulent orders, or simply to accumulate a foothold that can be aged and later abused or sold. Because the account has no prior history, defenses that rely on deviation from a known baseline have nothing to compare against, which is exactly what new account fraud exploits.

Why it matters

Why New Account Fraud matters for fraud prevention

New account fraud is a gateway that feeds many other abuses, from payment fraud and bonus farming to money laundering, so weakness at onboarding propagates risk across the whole platform. It is challenging because there is no established behavior to measure the account against and because the identity data can be crafted to pass standard verification, especially in the synthetic case. Onboarding also faces a conversion tradeoff: excessive friction turns away genuine new customers, so businesses need to separate fraudulent registrations from good ones with minimal added burden on legitimate signups.

With TRACIO

How TRACIO handles it

TRACIO strengthens the onboarding gate with device intelligence that works even when an account has no history. The Identification product recognizes the device behind each registration, so it can link a supposedly new account to prior fraudulent accounts or a known-bad device even when the identity data is entirely different, and it flags a single device or cluster opening many accounts. The device graph exposes these registration rings, while Bot Detection catches automated mass account creation and Smart Signals reveal the VPNs, proxies, and anti-detect or incognito environments used to disguise origin. This lets businesses challenge or block high-risk signups while letting genuine new customers onboard with low friction.

FAQ

Frequently asked questions

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