QR Code Scanner | Breaking Cybersecurity News | The Hacker News

A new vulnerability has been disclosed in iOS Camera App that could be exploited to redirect users to a malicious website without their knowledge. The vulnerability affects Apple's latest iOS 11 mobile operating system for iPhone, iPad, and iPod touch devices and resides in the built-in QR code reader. With iOS 11, Apple introduced a new feature that gives users ability to automatically read QR codes using their iPhone's native camera app without requiring any third-party QR code reader app. You need to open the Camera app on your iPhone or iPad and point the device at a QR code. If the code contains any URL, it will give you a notification with the link address, asking you to tap to visit it in Safari browser. However, be careful — you may not be visiting the URL displayed to you, security researcher Roman Mueller discovered . According to Mueller, the URL parser of built-in QR code reader for iOS camera app fails to detect the hostname in the URL, which allows at

Do you know that you can access your WeChat, Line and WhatsApp chats on your desktop as well using an entirely different, but fastest authentication system? It's SQRL , or Secure Quick Response Login, a QR-code-based authentication system that allows users to quickly sign into a website without having to memorize or type in any username or password. QR codes are two-dimensional barcodes that contain a significant amount of information such as a shared key or session cookie. A website that implements QR-code-based authentication system would display a QR code on a computer screen and anyone who wants to log-in would scan that code with a mobile phone app. Once scanned, the site would log the user in without typing in any username or password. Since passwords can be stolen using a keylogger, a man-in-the-middle (MitM) attack, or even brute force attack, QR codes have been considered secure as it randomly generates a secret code, which is never revealed to anybody else.

Since its emergence, Generative AI has revolutionized enterprise productivity. GenAI tools enable faster and more effective software development, financial analysis, business planning, and customer engagement. However, this business agility comes with significant risks, particularly the potential for sensitive data leakage. As organizations attempt to balance productivity gains with security concerns, many have been forced to choose between unrestricted GenAI usage to banning it altogether. A new e-guide by LayerX titled 5 Actionable Measures to Prevent Data Leakage Through Generative AI Tools is designed to help organizations navigate the challenges of GenAI usage in the workplace. The guide offers practical steps for security managers to protect sensitive corporate data while still reaping the productivity benefits of GenAI tools like ChatGPT. This approach is intended to allow companies to strike the right balance between innovation and security. Why Worry About ChatGPT? The e