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March 31, 2019 at 5:59 pm #40062
#News(Security) [ via IoTGroup ]
Headings…
Avast annual threat landscape report: IoT data will be a major target
In its annual Threat Landscape Report, Avast experts also predict more mobi
Email scams get more sophisticated
More mobile subscription threats
IoT data becomes a bigger target
A new frontier – AI privacy protection
Auto extracted Text……
In its annual Threat Landscape Report, Avast experts also predict more mobile subscription scams and new attempts to steal IoT data.
In the new 2020 release of its annual Threat Landscape Report, Avast predicts criminals will innovate malicious emails by harnessing sophisticated tools; the mobile industry will be hit by more subscription scams; and IoT data will be a major target.
The Avast Threat Labs monitor and protect more than 400 million users worldwide, blocking about 1.5 billion attacks a month and providing valuable insights to map trends and predict threats.
Avast predicts emails will continue to be the top mechanism to spread malware, and in 2020 criminals will deploy new sophistication – such as remote desktop protocol tools – to the familiar area of cybercrime, said Avast’s Head of the Threat Intelligence Systems Jakub Kroustek.
“Not only is it harder for people to spot malicious emails or suspicious links and attachments, making attacks more likely to be successful, but the exploitation of RDP vulnerabilities to spread worm-like strains of threats could have significant impact.”
More mobile subscription threats
On the mobile side, Avast predicts that more subscription scams and fake apps will make their way onto official app stores, and that more iOS vulnerabilities will be exposed by researchers and bad actors.
“Getting malicious apps onto the Google Play Store and the Apple App Store is not an easy task, which is why cybercriminals are shifting towards subscription scams, and fake apps integrated with aggressive adware to make money,” said Nikoloas Chrysaidos, head of mobile threat Intelligence and security at Avast.
“Companies collecting and storing a plethora of customer data make attractive targets for data-hungry cybercriminals looking to sell data for financial gain on underground markets
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