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Device manipulation detection
That “new” user? Their 283rd account. They throw on a VPN, a fresh synthetic ID, a factory reset, and to most stacks, they look legit. Now you can catch what a device fingerprint can’t. Our device IDs hold the full history, so you can trust the good ones faster. And act on the rest with confidence.
GeoComply cut our payment fraud costs by at least 85%. They give us access to more detail and data for our ecommerce transactions than we’ve ever had before. The anti-fraud reports were literally good enough to take to the bank in order to win our chargeback disputes.
– Co-Founder & Co-CEO, Sightline Payments
I would say we’ve probably added 15% to our revenue projections based on products that we’re building with GeoComply’s services.
— CTO, BZZR
Delivering a geolocation solution which is not just compliant, but also built and optimized with the player experience in mind is a critical success factor for iGaming in North America. GeoComply has always demonstrated to us that they understand that and can deliver under tight deadlines and across all platforms.
– SVP & Chief Information Officer, Caesars Interactive
What impresses me the most is KYC pass rates. I don’t think there are many vendors out there that could say, ‘we’re giving you one endpoint where you could get 95% KYC pass rates.’ That kind of workflow can take years to build and integrate properly. GeoComply just delivers it.
— Head of Gaming, BETR
Device manipulation is any attempt to make one device look like a different, cleaner, or brand-new one. The goal is to create a fresh identity on the same hardware.
Every method leaves traces in the device's configuration, its physical location, and how it behaves. GeoComply reads those signals together to link accounts that appear unrelated back to one device, cluster or address.
Yes, and that's the point. No fingerprint is unbreakable. The few methods that can erase or forge one, like a factory reset or a rooted operating system, are exactly what we detect. A broken or wiped fingerprint becomes a fraud signal in its own right.
No. Device manipulation detection runs on device and behavioural signals alone, with no location permission and no friction for the user. When location is granted, it corroborates them and lifts confirmed-fraud precision from 87% to 95–99%.
A fingerprint answers "is this the same device?" Device manipulation detection answers a harder question: "is this device telling the truth about itself?" A fingerprint alone can be cleared or faked. Corroborating the device against location and behaviour is what catches the fraud a fingerprint on its own would miss.
Stolen or AI-generated IDs can pass document and selfie checks. What it can't hide is the setup it was built on. So don't chase the pixels.
Catch the injection, the reset, and the tampering it took to look like a new user.
Account limits per device assume the device fingerprint stays steady. It doesn't. By the 5th signup, the phone has been wiped and reset into something that looks brand new.
See the reset, not a reborn device.
Rate limits and behavioural rules catch automation once it starts behaving badly. By then it's already running. Bots can try to fake a whole environment, but you'll spot the parts that don't add up.
Distinguish real users from bots, headless browsers, and agentic AI with ill intent.
You banned them for a reason. The person it was meant for keeps the device, changes the email, and comes back looking clean.
The device history follows them, and the ban stays where you put it.
Correct credentials don't prove it's the same person. A device that's new to the account, with a remote access tool running, is worth a step-up before the balance moves.
Spot it before they lose the account.
The coordinates can be faked. Or the person can be somewhere else, driving the device by remote.
Flag the spoof in real-time.
Fraud teams know the list. Our DeviceGuard models catches it all.
Bring your hardest case.
Talk to SpecialistPull 820+ device, network, and behavioural signals through our SDKs for mobile, desktop, and web. Where the risk requires it, a plug-in reaches system and hardware signals no browser-based method can see.
Signals resolve to one persistent device profile. Link analysis carries that identity across every account and device it touches. Continuous scrutiny reveals attempts to launch an attack that switch on mid-session.
Every device profile comes back as one you can automatically trust, question, or turn away with confidence. Everything tied to a flagged device profile goes down with it. So a "new user" on it is already caught.
Device fingerprint manipulation, caught
Why our trust signals hold up
Wipe it, reinstall it, rename it. Others miss the connections. We trace it back to the cluster.
Anchor devices to where they physically are. Not where they claim, or the IP that could sit in front of thousands of them.
DeviceGuard models stay sharp. 250+ researchers and engineers solve for evasion tactics before they scale.
Grounded in location
Anti-fraud controls are usually an on/off setting you pick once, forcing you to tradeoff. We hand you an automatic dial. Because most sessions don't need a geolocation check, and some very much do.
Rewriting a device fingerprint is trivial. Rewriting physics is not.
Precise location. Only when the risk is real. Precise location is the strongest signal you can add to a fraud decision. And the best geolocation knows when to stay out of the way.
Add friction for everyone, and slow the users you want.
Lower your guard, and write off the fraud that slips through.
Adaptive Verification. Full-strength verification, aimed only where the risk is.
ON REAL RISK · we step up. Compliance-grade location, only for the sessions that earned it. Precision climbs to 95–99%, up from 87% without location.
Adaptive verification is the third option. It's one integration. The system reads every session and right-sizes the check in real time. Rewriting a device ID is trivial. Rewriting physics is not. The friction lands on the fraudster. Not on the people you spent to acquire.
Don't let bad actors fool you twice. We help tell you who and what devices to trust.
Every account you open is meant to belong to one real player, in a state where they're allowed to play. A wiped device is how a banned or self-excluded player walks back in as someone new.
You're onboarding applicants who'll bank with you for years, and you answer for every one of them. Emulators and remote-access tools let a synthetic applicant, or an unauthorized user inside a real account, look like an ordinary user.
Your markets are only as honest as the assumption underneath them: that every position belongs to a different person. Position limits mean little when one trader can be a hundred devices.
Every wallet and every withdrawal has to trace back to someone you're permitted to serve. Rooted devices and virtual machines are how restricted users, airdrop farms and fraud rings arrive looking clean.
Your rights deals are drawn by household and by border, and the platform has to hold that line. Emulated devices and spoofed locations turn one seemingly harmless subscription into a potential unauthorized distribution network.
Real developers and researchers should be able to build on your models. Emulated devices and synthetic fingerprints are how one operation fans out into thousands of accounts that look unrelated, distilling the model or using it to run something worse.
Every transaction rests on both sides being who they say they are. A factory reset is how a removed seller comes back, with fresh reviews and the same playbook.
Points, cash back, and play-to-earn rewards are built to drive real engagement. One device pretending to be a thousand cycles small payouts across accounts that were never people.
Device manipulation detection is the practice of identifying devices that have been altered to hide their true device identity. That includes emulators, rooted or jailbroken phones, cloned apps, anti-detect browsers, and factory resets used to fake a fresh start. Rather than trusting the identity a device reports, it reads the device's real characteristics and flags the signs of forgery or evasion. Corroborated with location and behaviour, those device signals connect manipulated devices that look unrelated back to one user, ring, or location.
An emulator builds a device identity in software, so it produces combinations of system and hardware attributes that a genuine phone never would. We detect those mismatches in real time, without needing the user to do anything.
Both describe a device whose operating system has been modified to remove the manufacturer's built-in restrictions. "Rooted" refers to Android, "jailbroken" to iOS. In both cases the modification lets a fraudster rewrite the device attributes an identity is built on, which is why we treat them as high-risk signals.
An anti-detect browser is a tool that forges a browser's configuration so every session looks like a different, brand-new visitor. It's the tooling behind industrial multi-accounting. We detect the forged configuration rather than trusting the fresh-looking fingerprint it presents.
See it run on your own traffic.
The fastest way to understand what you're missing is to look.
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