LTE Network Attacks | Breaking Cybersecurity News | The Hacker News

A group of academics from Ruhr University Bochum and New York University Abu Dhabi have uncovered security flaws in 4G LTE and 5G networks that could potentially allow hackers to impersonate users on the network and even sign up for paid subscriptions on their behalf. The impersonation attack — named " IMPersonation Attacks in 4G NeTworks " (or IMP4GT ) — exploits the mutual authentication method used by the mobile phone and the network's base station to verify their respective identities to manipulate data packets in transit. "The IMP4GT attacks exploit the missing integrity protection for user data, and a reflection mechanism of the IP stack mobile operating system. We can make use of the reflection mechanism to build an encryption and decryption oracle. Along with the lack of integrity protection, this allows to inject arbitrary packets and to decrypt packets," the researchers explained. The research was presented at the Network Distributed System Se...

If your mobile carrier offers LTE, also known as the 4G network, you need to beware as your network communication can be hijacked remotely. A team of researchers has discovered some critical weaknesses in the ubiquitous LTE mobile device standard that could allow sophisticated hackers to spy on users' cellular networks, modify the contents of their communications, and even can re-route them to malicious or phishing websites. LTE, or Long Term Evolution, is the latest mobile telephony standard used by billions of people designed to bring many security improvements over the predecessor standard known as Global System for Mobile (GSM) communications. However, multiple security flaws have been discovered over the past few years, allowing attackers to intercept user's communications, spy on user phone calls and text messages, send fake emergency alerts, spoof location of the device and knock devices entirely offline. 4G LTE Network Vulnerabilities Now, security researchers...

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...