The Many Faces of Mobile Malware

Mobile devices have become a prime target for fraudsters, but traditional anti-virus (AV) and signature-based tools are increasingly ineffective against modern mobile malware. As new variants emerge, approaches that rely on identifying specific packages or hashes struggle to keep pace.

This white paper explores how a malware-agnostic approach grounded in behavioral intelligence can uncover the operational footprint malware leaves behind. By examining the subtle ways users interact with their devices, behavioral intelligence makes it possible to detect mobile malware even when activity appears legitimate to traditional controls.

Download the white paper to learn:

• Why traditional AV and signature-based detection falls short against mobile malware
• How a malware-agnostic approach uses behavioral signals to reveal the presence of malware within a session, regardless of variant
• Key behavioral indicators associated with remote access tools, overlays, and emulator-driven fraud
• How behavioral signals exposed mobile malware through a real-world case study of the TrickMo banking trojan