We are in an era where a glance can unlock a phone, authorise a payment, or clear a security checkpoint. Facial recognition is increasingly relied upon as a fast and convenient form of identity verification. But cybersecurity experts warn that the technology is not foolproof, and that hackers are developing sophisticated methods to bypass it using nothing more than a photograph. In recent months, incidents of biometric fraud have risen, highlighting an unsettling reality: the same facial images people share online for convenience can be weaponised for crime. Facial recognition systems are used in everything from smartphone security to border control. But experts say that while the technology has improved, so too have the tools used to defeat it. “Facial recognition is only as strong as its anti-spoofing measures,” said Dr Lena Ortiz, a cybersecurity researcher at the Institute for Digital Trust. “When those protections are weak or absent, a photo becomes a key.” Officials and researchers point to multiple attack methods now being used by criminals, including photo spoofing, deepfake videos, and even 3D-printed masks. Simple Photos One of the most common attacks is deceptively low-tech: using a high-resolution photo to trick a scanner. According to Sumsuber, in many systems, the scanner cannot distinguish between a live face and a still image. Hackers have exploited this by obtaining images from social media, leaked databases, or even public footage. “It’s a simple attack,” said Jordan Patel, a cybersecurity analyst tells Sumsuber media. “But it works because many systems still lack liveness detection.” This vulnerability has been documented in multiple cases where attackers gained access to smartphones, financial apps, and secure facilities by presenting nothing more than a printed photograph. Many facial recognition systems rely on 2D image matching, which means they compare the geometry and features of a face without