Stop Fraudsters From Resetting Their Risk History

Fraudsters clear cookies or use private browsing to appear as a new user. Shufti's Visitor Fingerprint ID stays consistent across cookie clears and private browsing.

Fraudsters change IPs or switch networks to break the tracking trail. Shufti's fingerprint remains consistent across network changes, same device, same history.

Fraudsters create new accounts expecting each to look new to the platform. Shufti keeps device history connected even across new account registrations and different sessions.

Fraudsters mask their location using VPNs, proxies, and TOR. Shufti detects each and returns them as evasion signals.

Fraudsters manipulate their device environment to avoid detection. Shufti detects emulators, virtual machines, jailbroken devices, browser tampering, and unusual privacy settings.

Reviewing evasion signals separately misses coordinated fraud patterns. Shufti combines all signals into a single Threat Level that reflects the full risk pattern.

An IP address alone doesn't reveal whether traffic comes from fraud infrastructure. Shufti returns detailed IP, ASN, routing, and proxy context for each device event.

Sessions through datacenters or masked networks look like genuine users without deeper context. Shufti helps fraud teams distinguish genuine users from sessions routed through datacenters and masked networks.

Infrastructure commonly used in organised fraud is invisible without ASN-level analysis. Shufti surfaces suspicious ASNs and proxy contexts so teams can act on the full network picture.

A document claiming one country with an IP from another signals location spoofing. Shufti compares document country against IP country to identify mismatch patterns.

Timezone inconsistency and rapid IP changes indicate proxy rotation and session manipulation. Shufti checks timezone against IP and monitors IP change frequency as consistency signals.

Blanket rules that flag location changes block users who are simply travelling or switching networks. Shufti's consistency checks detect spoofing and manipulation without blocking genuine users.