![]() ![]() ![]() If the individual is not an IRS employee and does not have a legitimate need to contact you and regardless of whether you were a victim of the scam or not, report the incident to the appropriate law enforcement agencies: If the caller is an IRS employee with a legitimate need to contact you, please call them back using the appropriate online resources.View your tax account information online or review their payment options at IRS.gov to see the actual amount owed.If you receive a phone call from someone claiming to be from the IRS but you suspect they are not an IRS employee: While the IRS does not endorse any solution or brand, a limited sample of the available options are: Easy to install call blocking software for smartphones is available. ![]() Blocking these types of calls is one strategy taxpayers should consider. I'll be front and center of the queue to test this one when the testing expands.IRS impersonation telephone calls – as well as other types of unwanted calls (e.g., telemarketing robocalls, fake grants, tech support, sweepstakes winnings, etc.) remain popular scams. It's never too late to start dealing more effectively with the problem of spam. You might also think for old-timers like me who have had the same very public email address for more than 20 years, then maybe it's a little late to start using aliases, but think again. That will change in due course, and by keeping an eye on the Private Relay pages you will be able to sign up to the waiting list and join in "soon," according to Mozilla. In the case of Mozilla's Private Relay, it's merely that it is still in testing mode at the moment, an invite-only alpha testing mode. ![]() "We all make many online accounts, but most of them are linked to 1 or 2 of our email addresses," Mozilla said, "this means if just one account is hacked or tracked, every other account and its associated data is now also at risk." MORE FROM FORBES Revealed: The Supermarkets That Will Sell You Malware For $50 By Davey Winder So, what's the catch?Īh, yes, the catch. If a service you are using suffers a data breach and logins appear on the dark web, a would-be attacker wouldn't have your email address for use in executing a credential stuffing attack. This user interface is what makes Private Relay so simple, and so powerful: removing the alias means that no further emails will be received, all spam will be terminated from that sender and any others they might have shared your address with. Mozilla describes the Private Relay Firefox add-on as being able to generate "unique, random, anonymous email addresses that forward to your real address," and when done with you can "disable or destroy the email address." MORE FROM FORBES Downloaded Twitter Data Using Firefox? Could Hackers Have Stolen Your Data? By Davey Winder All emails sent to that new address will automatically be forwarded to your actual address. But that's not as easy to manage as the Firefox solution.īy simply clicking on a "relay" button next to the email fields, once installed, the add-on will allow an alias to be created on-demand. Gmail users, for example, might sign up with instead of as a 'dot' before the symbol doesn't change where the email ends up, but does help to identify where spam is coming from. That idea is email aliases, where you create different email addresses for services and sites that you sign up to while keeping your "real" email to yourself. Still, Mozilla is making it so easy to use that it could revolutionize the way we deal with unwanted, annoying and potentially dangerous emails. The idea behind the new add-in is undoubtedly not new. Going by the name of Private Relay, Mozilla is currently testing a new add-on for Firefox users that could put an end to unwanted emails using a single click. Mozilla's one-click killer email trick to deal with spam A new one-click email trick that is currently being tested by Mozilla could provide the solution for 250 million Firefox users. That still leaves way too many actual spam messages getting through when you do the math, and it's dealing with these that is proving difficult. Thankfully, email applications now come with anti-spam measures built-in, and the likes of Gmail, for example, reckon the machine learning algorithms that power the spam filtering for 1.5 billion Google email users are 99.9% accurate. They did, however, require a period of training whereby the recipient would have to categorize email as being spam or not manually. Dedicated spam filtering solutions using a combination of sender reputation scoring and keywords soon emerged and proved more effective. ![]()
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