Online Security and Privacy News

Let’s say your phone freezes for a second, then the screen lights up on its own. Or maybe your laptop fan roars at 3 a.m. even though you shut the lid. Or you get a Google warning saying that “you just signed in from São Paulo” while you were sleeping somewhere in NYC. Some people don’t pay much attention to such things, others may think such oddities could be due to an operating system update, or other reasons. But these are often red-light signals of cyber security threats that are gearing up for a full-blown cyber attack. This guide will show you how to spot early signs of cyber threats, walk you through real-world risks, and tell you what to do if your device’s been compromised. You’ll also learn how VeePN can help protect your data.

Someone messages you about your post. They sound like real people. They say they just need you to verify something “to prove you’re not a scam.” Then a text message arrives with a Google verification code, and they ask you to share verification codes. That is the trap. This specific scheme is so common because it feels harmless. You are not “sending money,” you are just reading a code. But that tiny verification code can help a scammer create a Google Voice number linked to your phone number and use it for fraud. We’ll break down how the scam works, what to do if it already happened, and how tools like VeePN can reduce your chances of falling prey later on.

Twofish is a symmetric encryption algorithm developed in the late 1990s by a team led by cryptographer Bruce Schneier. Although it did not become the Advanced Encryption Standard (AES), it was one of five finalists in the U.S. government's AES competition and remains a respected cipher in the security community. Today, Twofish is best known for its use in certain disk encryption tools, cryptographic libraries, and applications that offer alternatives to AES. While it is no longer as widely deployed as AES, no practical attack has broken the full Twofish algorithm, and it is still considered secure when implemented correctly.