The Security Ledger
SEPTEMBER 5, 2022
But behind all the fun and games are some serious questions: about the security of precision agricultural equipment that can be remotely controlled from the cloud, and about the Orwellian conditions suffered by many farmers who find themselves locked out of and unable to fix their own equipment when it breaks.
Krebs on Security
OCTOBER 28, 2020
Last week, a Russian journalist published a video on Youtube claiming to be an interview with the cybercriminals behind the REvil/Sodinokibi ransomware strain , which is the handiwork of a particularly aggressive criminal group that’s been behind some of the biggest and most costly ransom attacks in recent years.
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Archives Blogs
MARCH 8, 2018
Over the past several years, five video wall shows centering on various themes have been created at the Archives. The video wall shows highlight the diverse nature of our photograph, video, and textual holdings. One of the photographs included in the video wall show. Another image featured in the new video wall show.
Security Affairs
DECEMBER 4, 2020
A group of Iranian hackers gained access to a un unprotected ICS at an Israeli Water Facility and posted a video as proof of the hack. The threat actors accessed a human-machine interface (HMI) system that was left unsecured online and published a video hack. ” reads the blog post published by OTORIO.
Security Affairs
JUNE 3, 2021
The Realtek RTL8710C module is based on a Cortex M3 processor, it is used for several applications in many industries, including Agriculture, Automotive, Energy, Gaming, Healthcare, Industrial, Security, and Smart Home. In the video PoC published by the researchers, on the right-hand-side window as “Sending malicious encrypted GTK”.
The Security Ledger
DECEMBER 29, 2021
Episode 229: BugCrowd’s Casey Ellis On What’s Hot In Bug Hunting Episode 227: What’s Fueling Cyber Attacks on Agriculture ? Related Stories Episode 232: Log4j Won’t Go Away (And What To Do About It.)
IBM Big Data Hub
JULY 26, 2023
Image and video recognition systems can use AI to monitor each stage of manufacture , catching any discrepancies as early as possible. This use case shows how AI can help by processing unstructured image and video data in addition to structured data in the previous examples.
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