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Deepfake hacks forecast for 2020: Report

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Deepfake

In 2020, cyber criminals will use so-called “deepfake” video and audio technology to disrupt large commercial enterprises’ operations and potentially create geopolitical confusion among nation states, in addition to disrupting financial markets, says Experian Data Breach Resolution in a report issued Monday.

As the technology involved “comes of age and becomes readily accessible it will increasingly be used by cybercriminals and nation states to foster real disruption — both in financial markets and in politics,” says the report by Data Breach Resolution, a unit of Costa Mesa, California-based Experian Information Systems Inc., in its report, Data Breach Industry Forecast 2020.

The report also predicts many burgeoning industries such as cannabis retailers, cryptocurrency entities and some environmental organizations will be targeted for cyberattacks because of online activism.

“Many burgeoning companies, like cannabis retailers, may not fully invest in protective, cybersecurity measures as core parts of their business models due to competing priorities,” said the report.

“While any retailer is always a target for cybercriminals, cannabis retailers present a bigger target due to the ready access they may provide to personal medical records, many of which may prove to be very valuable on dark web forums,” says the report.

The report also predicts cyber criminals will leverage text-based identity theft techniques to target consumers who participate in online communities, such as those supporting presidential candidates; that as cities install more free public Wi-Fi systems, hackers will use drones to steal consumer data from devices connected to unsecure networks on the streets below; and that there will be a significant spike in identity theft as cyber criminals exploit the convenience of the mobile payment options that are increasingly available.

Last year’s report predicted that in 2019 cyberattacks would zero in on biometric hacking and exposure vulnerabilities in touch identification sensors, facial recognition and passcodes. 

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