AI-powered antidetect browsers fuel surge in cybercrime, warns Check Point
Cybercriminals are exploiting AI-powered antidetect browsers to bypass fraud detection systems, hijack user accounts, and automate large-scale scams, according to a report by Check Point Research. These tools, originally designed for digital marketing and privacy, are now being used to evade KYC checks, test stolen payment credentials, and take over banking and cryptocurrency accounts.
Editor, Lazyfounder
TABLE OF CONTENTS
KEY HIGHLIGHTS
- Cybercriminals are using AI-powered antidetect browsers to evade fraud detection and hijack accounts across banking, cryptocurrency, and social media platforms.
- Antidetect browsers like Kameleo, AdsPower, and Multilogin create isolated profiles with unique digital fingerprints to mimic legitimate devices.
- Russian, Iranian, and Chinese hackers are leading the adoption of these tools for large-scale fraud and influence operations.
- AI integration in antidetect browsers enables automation of fraud, lowering the barrier for coordinated cybercrime campaigns.
How antidetect browsers work
Antidetect browsers like Kameleo, AdsPower, Multilogin, GoLogin, and Dolphin Anty are designed to create isolated browser profiles, each with a unique digital fingerprint. These fingerprints include attributes like screen resolution, time zone, WebGL parameters, and installed fonts, making it appear as though each session originates from a different device. While originally developed for legitimate uses—such as digital marketing, affiliate testing, and privacy protection—these tools are now being weaponized by cybercriminals.
Cybercriminals’ tactics and targets
According to Check Point Research, stolen session cookies are the primary vector for attacks. Cybercriminals inject these cookies into clean browser profiles created by antidetect browsers, allowing them to hijack active sessions on banking, cryptocurrency, and social media platforms. Once inside, they can transfer funds, make unauthorized purchases, or conduct disinformation campaigns without triggering fraud alerts.
E-commerce platforms are also frequent targets. Fraudsters test stolen payment credentials across multiple sites, using antidetect browsers to avoid detection by fingerprint-based security systems. The rise of AI integration in tools like AdsPower has further automated this process, enabling large-scale fraud with minimal human involvement.
Who is driving the trend
Check Point Research highlights that Russian, Iranian, and Chinese hackers are at the forefront of adopting antidetect browsers for fraudulent activities. These actors are using the tools to conduct coordinated campaigns, including account takeovers, payment fraud, and influence operations. Underground forums are rife with discussions about optimizing Kameleo, AdsPower, and Multilogin for these purposes.
Why this matters for platforms
Antidetect browsers are not inherently malicious, but their AI-powered automation has lowered the barrier for large-scale fraud. Platforms relying on traditional fraud detection methods—such as device fingerprinting, IP analysis, or behavioral biometrics—may find themselves increasingly vulnerable. For startups in fintech, e-commerce, or social media, this trend signals a need to invest in more adaptive security measures, such as real-time anomaly detection or AI-driven fraud analysis.
What this means
Lazyfounder analysis — our interpretation, not reported fact.
This trend is a wake-up call for founders and operators in fintech, e-commerce, and social media. Antidetect browsers are not new, but their AI-powered automation is making fraud more scalable and harder to detect. For startups relying on KYC, session security, or account-based revenue, the risk of account takeovers and payment fraud just increased.
The report underscores that traditional fraud detection methods—like IP blacklisting or device fingerprinting—are becoming less effective. If your product involves user accounts, payments, or digital marketing, assume that bad actors are already testing these tools against your systems. The barrier to entry for sophisticated fraud is lower than ever, and the responsibility to adapt lies with platforms, not end-users.
Key takeaways
- AI-powered antidetect browsers are enabling large-scale, automated fraud, particularly in banking and cryptocurrency.
- Founders in fintech and e-commerce must reassess fraud detection systems, as traditional methods like device fingerprinting are being bypassed.
- Social media platforms and marketplaces face heightened risks of coordinated inauthentic activity, including account takeovers and payment fraud.
- The adoption of these tools by state-aligned hackers signals a shift toward more sophisticated, low-effort cybercrime.
Related on Lazyfounder
Sources
- TechRadar · 2026-10-21
AI 'antidetect' browsers are making scams, fraud, and influence operations harder to spot
This story is an original summary drafted with AI by Lazyfounder from the reporting listed above and checked by automated validation. Facts are attributed to their original publishers; sections marked as analysis are Lazyfounder's. Where a source is in another language, facts were machine-translated and quotations are reported, not reproduced. Read the original coverage via the links, and see our AI policy and corrections policy.
About the author
Editor, Lazyfounder
Tarun Mottlia edits LazyFounders, covering Indian startups, funding rounds, AI and product launches. Every story on the site is AI-assisted and checked against its cited sources before publication.
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