Loading...

Tales from the Dark Web: Device Emulators

Published: April 11, 2016 by Guest Contributor

Device emulators — wolves in sheep’s clothing

device-emulatorsDespite all the fraud prevention systems and resources in the public and private sectors, online fraud continues to grow at an alarming rate, offering a low-risk, high-reward proposition for fraudsters. Unfortunately, the Web houses a number of easily accessible tools that criminals can use to perpetrate fraud and avoid detection. The device emulator is one of these tools.

Simply put, a device emulator is one device that pretends to be another. What began as innovative technology to enable easy site testing for Web developers quickly evolved into a universally available tool that attackers can exploit to wreak havoc across all industry verticals. While it’s not new technology, there has been a significant increase in its use by criminals to deceive simple device identification and automated risk-management solutions to carry out fraudulent activities. Suspected device emulation (or spoofing) traffic historically has been difficult to identify because fraud solutions rely heavily on reputation databases or negative lists.

Detecting and defeating these criminals in sheep’s clothing is possible, however. Leveraging Experian’s collective fraud intelligence and data modeling expertise, our fraud research team has isolated several device attributes that can identify the presence of an emulator being used to submit multiple transactions. Thanks to these latest FraudNet rule sets, financial institutions, ecommerce merchants, airlines, insurers and government entities alike now can uncloak and protect against many of these cybercriminals.

Unfortunately, device emulators are just one of many tools available to criminals on the Dark Web. Join me at Vision 2016, where U.S. Secret Service and I will share more tales from the Dark Web. We will explore the scale of the global cybercrime problem, walk through the anatomy of a typical hack, explain how hackers exploit browser plug-ins, and describe how enhanced device intelligence and visibility across all channels can stop fraudsters in their tracks.

Listen to Mike Gross as he shares a short overview of his Vision 2016 breakout session in this short video.

Don’t miss this innovative Vision 2016 session! See you there.

7534-Vision-2016-400x100-F

Related Posts

Experian is proud to be a Thought Leadership Sponsor at this year’s Federal Identity Forum & Expo. Meet us on site at FedID!

Published: August 1, 2025 by Kim Le

Now in its tenth year, Experian’s U.S. Identity and Fraud Report continues to uncover the shifting tides of fraud threats and how consumers and businesses are adapting. Our latest edition sheds light on a decade of change and unveils what remains consistent: trust is still the cornerstone of digital interactions. This year’s report draws on insights from over 2,000 U.S. consumers and 200 businesses to explore how identity, fraud and trust are evolving in a world increasingly shaped by generative artificial intelligence (GenAI) and other emerging technologies. Highlights: Over a third of companies are using AI, including generative AI, to combat fraud. 72% of business leaders anticipate AI-generated fraud and deepfakes as major challenges by 2026. Nearly 60% of companies report rising fraud losses, with identity theft and payment fraud as top concerns. Digital anxiety persists with 57% of consumers worried about doing things online. Ready to go deeper? Explore the full findings and discover how your organization can lead with confidence in an evolving fraud landscape. Download report Watch on-demand webinar Read press release  

Published: August 1, 2025 by Julie Lee

User and entity behavior analytics monitors how users and systems typically behave and raises a red flag when something unusual happens.

Published: July 15, 2025 by Allison Lemaster