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.

Ambitious Employees Tout New AI Tools, Ignore Serious SaaS Security Risks Like the  SaaS shadow IT  of the past, AI is placing CISOs and cybersecurity teams in a tough but familiar spot.  Employees are covertly using AI  with little regard for established IT and cybersecurity review procedures. Considering  ChatGPT's meteoric rise to 100 million users within 60 days of launch , especially with little sales and marketing fanfare, employee-driven demand for AI tools will only escalate.  As new studies show  some workers boost productivity by 40% using generative AI , the pressure for CISOs and their teams to fast-track AI adoption — and turn a blind eye to unsanctioned AI tool usage — is intensifying.  But succumbing to these pressures can introduce serious SaaS data leakage and breach risks, particularly as employees flock to AI tools developed by small businesses, solopreneurs, and indie developers. AI Security Guide Download AppOmni's CISO Guide to AI Security - Part 1 AI evoke