Even worse, they might give your email address to someone else who’ll start sending you email.
(For the record, I do not.) And some or all of that might look like spam, including porn spam.
Aliases and usernames have become a big part of our personal online presence, and we often feel tied to them when we register for new sites and services.
This can be a great was to build an online identity, but it can also make it trivial to tie our activity on various services together.
Old boundaries and human limitations were dropped, in order for us to have access to almost any information. We must not forget their final target is always our money and there is nothing they won’t do to accomplish their mission.
Here’s the list of online scams to stay away from: Phishing email scams The Nigerian scam Greeting card scams A guaranteed bank loan or credit card scam Lottery scam Hitman scam Romance scams Fake antivirus software Facebook impersonation scam (hijacked profile scam) Make money fast scams (Economic scams) Travel scams Delivery scams Fake news scam Stock market scams Job offer scams SMS Scams (Smishing) According to a recent report released by Wombat Security, the number of phishing emails sent this year was bigger, with a 155% increase compared to 2016.
This way, they’ll persuade you to click on the links contained by their messages and access a website that looks legit, looks like the real one, but it’s actually controlled by them.
Even if they’ve been taken for tens of thousands of dollars.
They’re not going to get satisfaction legally or financially.
The effects of phishing attacks can be devastating to both organizations and individuals, so it’s essential to stay safe and raise a security awareness.
This report has proven that people know and understand what phishing is, because 65% of US and 72% of UK respondents answered correctly to question: “What is phishing?
A few years ago, image recognition on a large scale was restricted to law enforcement and corporate security. Free services like Tineye and Google Images will search billions of indexed images on the internet for identical or similar pictures.