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Device Fingerprinting

Unmask every device for fraud risk with Shufti's device fingerprinting

Fraud doesn’t always come with a fake ID. It often hides behind familiar devices. As the best device fingerprinting provider, Shufti’s device fingerprinting creates a unique digital signature for every device, analyzing thousands of attributes to detect hidden risks.

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99.3%

True detection rate for confirmed fraud attempts

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<5 Sec

Average IP intelligence time

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38%

Higher conversion rate

Fraud prevention with fully-in-house device fingerprinting technology

Fraudsters adapt quickly, but devices remain their Achilles’ heel. With Device Fingerprinting, Shufti identifies repeat offenders, flags suspicious configurations, and links fraudulent behavior across accounts, stopping fraud before it happens.

Account takeover defense

  • Detect logins from unfamiliar devices or high-risk configurations, even when credentials are correct so no fraudster sweeps across your system.

Multi-account fraud prevention

  • Stop fraudsters from creating duplicate accounts with the same device, protecting bonuses, promotions, and platform integrity.

Transaction risk reduction

  • Secure your transactions by screening buyers and sellers against the most comprehensive AML data layer in the world.

Your device leaves a trail, we just make sure it’s legit. No clones, no fakes, just real fingerprints for real security.

Explore Shufti's Behavioral Biometrics

Device fingerprinting done right with Shufti

Not all device fingerprinting is created equal. Shufti’s device fingerprinting tool combines deep data analysis with AI-driven risk scoring to deliver fingerprints that are persistent, reliable, and resistant to evasion techniques.

Persistent device identity

Every device is assigned a stable, unique fingerprint that remains consistent even if users clear cookies or switch networks.

  • Tracks thousands of browser, hardware, and OS attributes.
  • Identifies repeat fraudsters attempting new accounts.
  • Enables long-term monitoring of risky devices.

Evasion-resistant technology

Fraudsters often try to mask devices with VPNs, incognito mode, or emulators. Shufti detects these evasion techniques.

  • Flags use of proxies, TOR, or remote access tools.
  • Recognizes virtual machines and suspicious configurations.
  • Differentiates between genuine users and hidden actors.

Frictionless integration

Device fingerprinting runs silently in the background, adding no extra steps for users.

  • Works across web, mobile, and app environments.
  • Lightweight SDKs ensure minimal impact on performance.
  • Enhances trust without degrading user experience.

Industries That Rely on Shufti’s device fingerprinting solutions

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iBeta Level 2 Passive

Banking

Spot compromised devices and prevent fraud rings from cycling accounts. Trust is built not just on users, but on the devices they use.

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Advanced defense against face

iGaming

Stop multi-accounting and bonus abuse by flagging duplicate devices. Players enjoy fairness, while operators reduce fraud losses.

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iBeta Level 2 Passive

Ecommerce

Reduce chargebacks by verifying device trust at checkout. Fraudsters can swap identities, but not their fingerprint.

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Fair for every face

Social media

Block bots and fake accounts by detecting unusual device clusters. Communities grow stronger when users are authentic.

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Fair for every face

Crypto

Secure platforms against automated trading exploits and wash trading. Device fingerprints reveal where credentials alone cannot.

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How Shufti’s device fingerprinting works

Step 1 Attribute collection

Step 2Unique fingerprint creation

Step 3Cross-session tracking

Step 4Risk scoring & anomaly detection

Step 5Actionable insights

No-Doc-Onboarding

Device details are captured in real time.

  • Browser type, OS, screen resolution, and plugins.
  • Hardware attributes like GPU, CPU, and battery profile.
  • Network signals including IP, geolocation, and time zone.
liveness-detection

Device details are captured in real time.

  • Browser type, OS, screen resolution, and plugins.
  • Hardware attributes like GPU, CPU, and battery profile.
  • Network signals including IP, geolocation, and time zone.
liveness-detection

A persistent ID is generated from the collected attributes.

  • Highly unique to each device.
  • Resistant to cookie deletion or browser resets.
  • Updated dynamically as attributes evolve.
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The fingerprint links activity across multiple sessions and accounts.

  • Detects multi-accounting attempts.
  • Connects fraudulent behavior to shared devices.
  • Builds a trust history for each device.
Passwordless-Authentication

Each device is evaluated against risk signals.

  • Flags inconsistent IP-to-device patterns.
  • Identifies abnormal behavior like device spoofing.
  • Provides real-time risk scores for action.
No-Doc-Onboarding

Businesses get actionable outputs to prevent fraud.

  • Approve, block, or step-up verification.
  • Full reporting for audits and compliance.
  • Continuous feedback loop strengthens accuracy over time.

Shufti offers multiple integrations for seamless operations

API-First architecture

A single API call unlocks device fingerprinting across platforms. Built for developers, it integrates easily with existing workflows without complex customization.

SDKs for web & mobile

Lightweight SDKs for iOS, Android, and web apps ensure smooth performance. Device intelligence runs silently in the background without slowing down the user experience.

Cloud or on-premise

Deploy where your compliance or infrastructure requires. Our cloud-hosted solution scales instantly, while on-premise deployment gives you full control of data flows.

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Preventing Account takeover fraud with multilayered defense

Most account takeovers don’t start with brute force, they start with subtlety. In this whitepaper, see how Shufti’s multilayered defense uncovers the quiet signs of ATO fraud that others miss. Discover how behavioral analytics, device fingerprinting, and real-time identity verification work together to detect imposters.

Download the whitepaper
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Frequently Asked Questions

What is a biometric identification system?

A biometric identification system uses unique physical or behavioral characteristics (like fingerprints, face recognition, or device behavior) to verify the identity of an individual.

How does Shufti’s device fingerprinting work?

Shufti’s device fingerprinting technology analyzes multiple attributes of the user's device, such as screen resolution, browser settings, and IP address, to create a unique identifier. This helps verify the device and prevent fraudulent activity.

How does device fingerprinting prevent fraud, and what type of fraud does it detect?

Device fingerprinting helps identify suspicious activity by analyzing device data to prevent fraud such as account takeovers, identity theft, and transaction fraud.

Is device fingerprinting privacy compliant?

Yes, Shufti’s device fingerprinting complies with global privacy regulations, ensuring user data is processed in a secure and compliant manner.

Can fraudsters bypass device fingerprinting using VPNs or incognito mode?

While VPNs or incognito modes may obscure certain attributes, Shufti’s advanced device fingerprinting can detect irregularities and inconsistencies that help identify fraudulent behavior.

Which industries benefit from device fingerprinting?

Industries such as finance, e-commerce, gaming, and online services benefit most from device fingerprinting, as it helps prevent fraud and secures digital transactions.

How can I integrate Shufti’s device fingerprinting into my platform?

Shufti provides easy integration options through APIs, enabling seamless device fingerprinting integration into your platform to enhance security.

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