Signaling System 7 | Breaking Cybersecurity News | The Hacker News

Security researchers have been warning for years about critical security holes in the Signaling System 7 (SS7) that could allow hackers to listen in private phone calls and read text messages on a potentially vast scale, despite the most advanced encryption used by cellular networks. Cellular networks, on the other hand, have consistently been ignoring this serious issue, saying that it is a very low risk for most people, as the exploitation of the SS7 flaws requires significant technical and financial investment. But some unknown hackers have just proved them wrong by recently exploiting the design flaws in the SS7 to drain victims' bank accounts, according to a report published Wednesday by German-based newspaper Süddeutsche Zeitung. SS7 is a telephony signaling protocol created in the 1980s by telcos and powered more than 800 telecom operators across the world, including AT&T and Verizon, to interconnect and exchange data, like routing calls and texts with one a...

Hacking Facebook account is one of the major queries on the Internet today. It's hard to find — how to hack Facebook account or facebook messenger, but researchers found a way that can allow someone to hack Facebook account passwords with only the target's phone number and some resources. Yes, your Facebook profile can be hacked, no matter how strong your password is or how much extra security measures you have taken. No joke! Hackers with resources to exploit SS7 network can hack your Facebook login and all they need is your phone number. The weaknesses in the part of global telecom network SS7 that not only let hackers and spy agencies listen to personal phone calls and intercept SMSes on a potentially massive scale but also let them hijack social media accounts to which you have provided your phone number. SS7 or Signalling System Number 7 is a cell phone signaling protocol that is being used by more than 800 telecommunication operators worldwide to exchange i...

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...