"Deepfakes are like someone putting on a perfect Halloween mask of your face, not just to trick your friends, but to walk into your bank, say 'it's me,' and get handed your money. The scary part? Those masks are now cheap, realistic, and anyone can buy one. Deepfake technology has entered a dangerous new era that is no longer confined to internet jokes or social media stunts - or Halloween mask analogies."
"Using synthetic facial footage and widely available off-the-shelf tools, attackers are now able to spoof face recognition systems and gain unauthorised access to mobile apps. What was once hailed as a more secure, frictionless alternative to passwords is being exploited. For CISOs, this is much more than a novel technical challenge, but a business risk with real consequences for trust, compliance, and operational continuity."
"Over the past few years, facial recognition has become almost the default method for verifying identity for mobile apps. From banking and crypto apps to online platforms and workplace tools, it's marketed as both secure and seamless, which, at a surface level, holds up as a promise. Users simply glance at their screen, and the app unlocks without a password to remember or an OTP to enter."
Deepfakes can impersonate real faces using cheap, realistic masks and synthetic facial footage, enabling attackers to spoof face recognition and access mobile apps. Widely available off-the-shelf tools allow attackers to carry out these attacks entirely from their own devices. Facial recognition has become a default mobile authentication method across banking, crypto, online platforms, and workplace tools because it is marketed as secure and seamless. However, convenience introduces exposure: even native operating system biometric APIs and well-known platforms can be bypassed if apps are vulnerable to tampering. The risk extends beyond technical issues to business consequences for trust, compliance, and operational continuity.
Read at ChannelPro
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