Horror Stories: Identity Theft and ImpersonationAutomatic Eraser

Data theft and identity theft are not just horror stories, Datawarden warns us about their differences and the consequences in each case.
When it comes to horror stories, we must not forget the case of data theft and identity theft, caus by the mischievous spirits of phishing, smishing and data leaks.

When these ghosts appear in people’s inboxes or on their mobile phones, their personal information and that of their organizations is put at risk, with consequences that go beyond the loss of reputation with customers.

Fines, million-dollar lawsuits and sometimes even jail.

Tiber Anglin director of technology

architecture at the integrator Datawarden, says that the first thing that has to happen for a case of identity theft to occur is the theft of information.

Although both terms are similar and are divid by a thin line, information theft is link to techniques for stealing passwords, crentials and personal data.

Learn more about Digital Identity
Phishing accounts for 90% of cases, and arrives by email, not necessarily at midnight. Its appearance is vari, some korea whatsapp number data people have seen it in the form of an email from the bank, asking for personal data in order to update its database.

whatsapp data

Smishing is similar, except that in this case, the appearances are made via SMS, although victims of cybercriminals may also receive phone calls.

The most notable are the demons, sorry. The look-a-like domains, where the URLs look like the originals. But some of the letters are replac by characters from another language or ASCII code that rirects them to other parts.

Through these scams people give out names

dates of birth, CURP, telephone let’s expand on the above numbers, addresses, even bank statements, among much other information.

Once these evil spirits obtain the data of their victims, the practice of identity theft comes into play. Which bw lists according to Omar Jaimes, architecture manager at Datawarden. Seeks to make malicious use of that data and profit from it. Either by selling it on the Deep Web or Dark Web or.

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