Amazon Ring | Breaking Cybersecurity News | The Hacker News

Retail giant Amazon patched a high-severity security issue in its Ring app for Android in May that could have enabled a rogue application installed on a user's device to access sensitive information and camera recordings. The Ring app for Android has over 10 million downloads and enables users to monitor video feeds from smart home devices such as video doorbells, security cameras, and alarm systems. Amazon acquired the doorbell maker for about $1 billion in 2018. Application security firm Checkmarx  explained  it identified a cross-site scripting (XSS) flaw that it said could be weaponized as part of an attack chain to trick victims into installing a malicious app. The app can then be used to get hold of the user's Authorization Token, that can be subsequently leveraged to extract the session cookie by sending this information alongside the device's hardware ID, which is also encoded in the token, to the endpoint "ring[.]com/mobile/authorize." Armed with th...

Starting June 8, Amazon will automatically enable a feature on its family of hardware devices, including Echo speakers, Ring Video Doorbells, Ring Floodlight Cams, and Ring Spotlight Cams, that will share a small part of your Internet bandwidth with nearby neighbors — unless you choose to opt-out. To that effect, the company intends to register all compatible devices that are operational in the U.S. into an ambitious location-tracking system called Sidewalk as it prepares to roll out the shared mesh network in the country. Originally  announced  in September 2019,  Sidewalk  is part of Amazon's efforts to build a long-range wireless network that leverages a combination of Bluetooth and 900 MHz spectrum ( FSK ) to help Echo, Ring, Tile trackers, and other Sidewalk-enabled devices communicate over the internet without Wi-Fi. Sidewalk is designed to extend the working range of low-bandwidth devices, and help devices stay connected even if they are outside the range ...

As SaaS providers race to integrate AI into their product offerings to stay competitive and relevant, a new challenge has emerged in the world of AI: shadow AI.  Shadow AI refers to the unauthorized use of AI tools and copilots at organizations. For example, a developer using ChatGPT to assist with writing code, a salesperson downloading an AI-powered meeting transcription tool, or a customer support person using Agentic AI to automate tasks – without going through the proper channels. When these tools are used without IT or the Security team's knowledge, they often lack sufficient security controls, putting company data at risk. Shadow AI Detection Challenges Because shadow AI tools often embed themselves in approved business applications via AI assistants, copilots, and agents they are even more tricky to discover than traditional shadow IT. While traditional shadow apps can be identified through network monitoring methodologies that scan for unauthorized connections based on...