AI antidetect browsers used for fraud and influence operations
Original title: The Risk of AI-Powered Antidetect Browsers in Online Fraud and Influence Operations
Kameleo, AdsPower, and MultiLogin can feed LLM content into profiles and accept stolen session cookies.
Check Point Research says commercial antidetect browsers let one operator run thousands of isolated social accounts while spoofing browser fingerprints. Documented abuse includes injecting infostealer session cookies, carding, fraudulent loan applications, and ad-fraud accounts. Anthropic’s September 2026 report described their use against cryptocurrency exchanges and financial marketplaces. Meta has named Russia, Iran, and China as leading sources of coordinated inauthentic behavior.
Unconfirmed: Criminal use is drawn from underground-forum references and Anthropic’s report, not a new incident count.
- The three tools examined are Kameleo, AdsPower, and MultiLogin.
- Stolen cookies are injected into clean profiles for banking and cryptocurrency wallets.
- Platforms cited include Facebook, Instagram, TikTok, YouTube, X, Discord, LinkedIn, and Reddit.
Impact: Account takeover, payment fraud, phishing, and influence operations
- Products
- KameleoAdsPowerMultiLogin
- Organizations
- Check Point ResearchAnthropicMeta
From the original article
12 min read at research.checkpoint.com
Key Findings Introduction Antidetect browsers conceal their users’ digital identities, enabling a single operator or small team to simultaneously run thousands of isolated accounts across multiple platforms such as Facebook, Instagram, TikTok, YouTube, Twitter/X, Discord, LinkedIn, Reddit, and many more, without triggering the detection systems employed by those platforms. In this report, we highlight three […]
research.checkpoint.com
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