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AII-1002-54361
ReportedReported by fewer than three independent publishers, with no official finding.Supporting sources are pending verification.

Meeten Malware Campaign Uses AI-Generated Branding to Target Web3 Users

Security researchers identified a sophisticated malware campaign using AI-generated branding and content to masquerade as legitimate video-calling software and steal cryptocurrency from Web3 users. The campaign, operating under names including Meeten and Meetio, used social engineering and fraudulent websites to distribute the Realst info stealer across macOS and Windows platforms.

6 December 2024 Β· Fraud, scams and manipulation
6 December 2024
AII-1002-54361
Quick facts
Category
Fraud, scams and manipulation
Date
6 December 2024
Drafted by
Raidu Incident Detection

What happened

Cado Security Labs discovered a campaign distributing the Realst crypto stealer malware under various company names including Meeten, Meetio, Clusee, Cuesee, Meetone, with both macOS and Windows variants active for approximately four months.

Threat actors used AI to generate website content, blogs, and product materials, and created social media accounts on Twitter and Medium to establish legitimacy for fake video-calling software.

Victims were contacted via Telegram with fraudulent business opportunities, directed to download malware from fake websites, with some receiving targeted investment presentations spoofing their own companies.

Reported impact

The malware steals cryptocurrency from victims' web browsers through embedded JavaScript on the website, even before installation, and through information stealing from compromised systems.

Users who installed the application had their passwords and cryptocurrency stolen after the malware prompted for credentials using macOS tools.

Index analysis

AI was used to generate branding and website content that mimicked legitimate software companies, enabling threat actors to present the fraudulent video-calling application as credible.

The campaign targeted Web3 professionals and cryptocurrency users through social engineering and impersonation tactics.

Classification

Category
Fraud, scams and manipulation
Harm status
Actual harm
Intent
Intentional
Timing
Unknown
Harm types
Economic or property
Harmed
Consumers
Failure modes
Manipulation or dark pattern
AI systems
AI-generated content creation

Sources and evidence

Sources not yet published

This record was researched and written by the Index from original reporting. Its sources are still being verified by an editor, and they are listed here once that check is complete. Until then the record carries no reviewer.

How sources are verifiedSuggest a source for this incident