CHECK Point Research warns that AI-powered antidetect browsers are driving a new wave of online fraud and coordinated influence operations. The report highlights three leading tools—Kameleo, AdsPower, and MultiLogin—that enable a single operator to run thousands of isolated social media profiles across platforms such as Facebook, Instagram, TikTok, YouTube and more, while evading detection systems designed to spot scams and inauthentic activity.
Documented use cases include account takeovers via session cookies harvested by malware, carding across e-commerce sites, fraudulent loan applications, and bulk creation of accounts used to generate fake ad revenue. The threat is amplified by AI-enabled content generation, automated persona management, and machine-speed deployment pipelines, allowing operations to scale with minimal human intervention.
The analysis details how antidetect browsers defeat platform detection at multiple layers, from fingerprint spoofing to suppressing WebRTC leaks and enabling cookie injection that pre-authenticates profiles before any login event. It cites evidence from underground forums and security researchers showing integration with AiTM services, residential proxies, CAPTCHA bypass tools, and browser-in-the-middle phishing kits targeting credentials across major platforms.
AdsPower’s model-context server and AI-enabled automation, along with MultiLogin’s mobile “phone farming” and cloud-based identity signals, illustrate a mature ecosystem backed by pricing, support, and cross-language availability. The report argues that detection must shift to the infrastructure layer, and organisations should incorporate antidetect-specific scenarios into threat models, red teams, and incident response to counter silent account takeovers and AI-driven influence campaigns.