Self-Driving Cars Vulnerable to Hacking Through Street Sign Stickers

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NSA Compromised Over 50,000 Computer Networks with Malware

November 23, 2013

The NSA possesses the capability to track “anyone, anywhere, anytime.” In September, we reported on how the agency, along with GCHQ, used LinkedIn and Slashdot to implant malware targeting engineers at Belgacom, the largest telecom company. Recently, a Dutch newspaper unveiled a new secret document from the NSA, disclosed by former intelligence employee Edward Snowden. This document reveals that the NSA has infiltrated over 50,000 computer networks globally with malware intended for stealing sensitive information. A slide from a 2012 NSA management presentation illustrates a world map pinpointing these targeted locations. The agency employs a method called “Computer Network Exploitation” (CNE), which allows for covert malware installation in computer systems. This malware can be remotely controlled, activated, and deactivated at will. According to the NSA’s own website, CNE encompasses actions that facilitate intelligence collection by exploiting data gathered through computer networks.

Malware Leverages Inaudible Audio Signals to Transfer Stolen Data

Dec 03, 2013

If you believe that a computer completely isolated from networks, without USB drives or any electronic connections, is safe from hackers and malware, you might want to reconsider. Recent developments reveal that German scientists have created a proof-of-concept malware prototype capable of infecting computers and digital devices using inaudible audio signals. This method of bridging an air gap presents a formidable threat. Imagine a cyberattack utilizing high-frequency sound waves to not only infect machines but also to transmit stolen data back to the attacker without any network connection—it’s a chilling prospect. Recently, security researcher Dragos Ruiu suggested that malware known as badBIOS enabled infected devices to communicate solely through sound waves, effectively bypassing physical disconnections from networks.