Cybersecurity researchers at ThreatFabric have discovered a new Android banking trojan named Herodotus. Distributed under a Malware-as-a-Service (MaaS) model, this device-takeover malware introduces a novel evasion technique designed to bypass modern fraud detection systems. Herodotus simulates human-like typing by adding randomized delays to its inputs during remote sessions, allowing it to defeat behavioral biometric security controls. The malware, spread via SMS phishing (SMiShing), grants attackers full remote control to steal credentials, intercept one-time passcodes (OTPs), and execute fraudulent transactions from banking and cryptocurrency apps. Active campaigns are currently targeting users in Italy and Brazil.
Herodotus is the latest entry in the growing market of sophisticated Android banking malware. It is sold by a threat actor named 'K1R0' and is designed for full device takeover.
Infection Chain:
The most innovative feature of Herodotus is its defense evasion capability against behavioral biometrics.
'Confirm Transfer'), and entering data.Active campaigns have been observed disguising the malware as a security app for an Italian bank and a security module for a Brazilian payment provider.
Herodotus poses a direct financial threat to Android users worldwide. By defeating a key layer of modern anti-fraud defense, it increases the likelihood of successful fraudulent transactions. The MaaS model ensures that even low-skilled criminals can rent the malware and launch their own campaigns, broadening its reach.

Cybersecurity professional with over 10 years of specialized experience in security operations, threat intelligence, incident response, and security automation. Expertise spans SOAR/XSOAR orchestration, threat intelligence platforms, SIEM/UEBA analytics, and building cyber fusion centers. Background includes technical enablement, solution architecture for enterprise and government clients, and implementing security automation workflows across IR, TIP, and SOC use cases.
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Every tactic, technique, and sub-technique used in this threat has been identified and mapped to the MITRE ATT&CK framework for consistent, actionable threat language.
Observables and indicators of compromise (IOCs) have been extracted and cataloged. Risk has been assessed and correlated with known threat actors and historical campaigns.
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