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Ransomware news headlines trending on Google

CyberSecurity Insiders

And security researchers from ESET have discovered that the malware was uploaded to the VirusTotal operated system in Brazil and was targeted by a social engineering attack. As BianLian follows the process of dividing the encrypted content in 10 bytes of data, it easily evaded detection by antivirus products.

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SHARED INTEL: How ransomware evolved from consumer trickery to deep enterprise hacks

The Last Watchdog

Although most people think of ransomware as a dodgy application that encrypts data and holds it for ransom, the concept is much more heterogeneous than that. FBI spoofs 2012 – 2013. It surfaced in November 2012 and was making thousands of victims a day. File encryption 2013 – 2015. None of these early threats went pro.

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WinDealer dealing on the side

SecureList

Seeing that some variants of their Android malware impersonate a popular messaging app in Asia, it is also likely that malicious APKs are distributed in a variety of ways, including social engineering to convince users to install fake updates for their applications. Layout of the encrypted data. x33x44”). Description.

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How to Prevent Data Leaks

Spinone

Details included names, addresses, telephone numbers, dates of birth and encrypted passwords, all of which could be used to access other accounts belonging to these users. The Hacker had discovered Zuckerberg’s password in a 2012 LinkedIn data breach and he had used the same password across several accounts.

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Mobile malware evolution 2020

SecureList

In their campaigns to infect mobile devices, cybercriminals always resort to social engineering tools, the most common of these passing a malicious application off as another, popular and desirable one. Individuals who generate that many installation packages are obviously not worried about antivirus software.

Mobile 132
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Top Network Detection & Response (NDR) Solutions

eSecurity Planet

Whereas older solutions like antivirus, firewalls, and endpoint detection and response (EDR) have long focused on threats at the network perimeter, the intent of NDR is to monitor and act on malicious threats within organization networks using artificial intelligence (AI) and machine learning (ML) analysis. billion in 2016.