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Deepen Desai , CISO of Zscaler of transactions when compared to manufacturing , enterprise and healthcare devices .
Most traffic instead came from devices in manufacturing and retail industries – 59 % of all transactions were from devices in this sector and included 3D printers , geolocation trackers , automotive multimedia systems , data collection terminals like barcode readers and payment terminals . Enterprise devices were the second most common , accounting for 28 % of transactions , and healthcare devices followed at nearly 8 % of traffic . of these devices still communicating on unencrypted plain text channels , meaning that a majority of IoT transactions pose great risk to the business .”
What devices are most at risk ?
Out of over half a billion IoT device transactions , Zscaler identified 553 different devices from 212 manufacturers , 65 % of which fell into three categories : set-top boxes ( 29 %), smart TVs ( 20 %) and smartwatches ( 15 %). The home entertainment and automation category had the greatest variety of unique devices but they accounted for the least number
ThreatLabz also discovered a number of unexpected devices connecting to the cloud , including smart refrigerators and musical lamps that were still sending traffic through corporate networks .
Who ’ s responsible ?
The ThreatLabz team also looked closely at activities specific to IoT malware tracked in the Zscaler cloud . Volume-wise , a total of 18,000 unique hosts and roughly 900 unique payload deliveries were observed in a 15-day timeframe . Malware families Gafgyt and Mirai were the two most common families encountered by ThreatLabz , accounting for 97 % of the 900 unique payloads .
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