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Using EM Waves to Detect Malware

Schneier on Security

Researchers have developed a malware detection system that uses EM waves: “ Obfuscation Revealed: Leveraging Electromagnetic Signals for Obfuscated Malware Classification.” ” Abstract : The Internet of Things (IoT) is constituted of devices that are exponentially growing in number and in complexity.

Malware 355
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KrebsOnSecurity Hit By Huge New IoT Botnet “Meris”

Krebs on Security

The assault came from “ Meris ,” the same new “Internet of Things” (IoT) botnet behind record-shattering attacks against Russian search giant Yandex this week and internet infrastructure firm Cloudflare earlier this summer. “The largest share belongs to the version of firmware previous to the current stable one.”

IoT 344
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P2P Weakness Exposes Millions of IoT Devices

Krebs on Security

iLnkP2p is bundled with millions of Internet of Things (IoT) devices, including security cameras and Webcams, baby monitors, smart doorbells, and digital video recorders. He found that 39 percent of the vulnerable IoT things were in China; another 19 percent are located in Europe; seven percent of them are in use in the United States.

IoT 278
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MikroTik botnet relies on DNS misconfiguration to spread malware

Security Affairs

Researchers discovered a 13,000-device MikroTik botnet exploiting DNS flaws to spoof 20,000 domains and deliver malware. Infoblox researchers discovered a botnet of 13,000 MikroTik devices that exploits DNS misconfigurations to bypass email protections, spoof approximately 20,000 domains, and deliver malware.

DNS 138
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Beware the Cyber Ghouls: Spooky Threats Lurking in Digital Shadows

SecureWorld News

Spooky fact : The infamous Mirai botnet attack in 2016 turned more than 600,000 IoT devices into cyber zombies, leading to one of the most significant DDoS attacks in history. Warding off zombies : Regularly update device firmware, patch IoT devices, and monitor for unusual traffic patterns.

IoT 119
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Researchers used electromagnetic signals to classify malware infecting IoT devices

Security Affairs

Cybersecurity researchers demonstrate how to use electromagnetic field emanations from IoT devices to detect malware. The researchers proposed a novel approach of using side channel information to identify malware targeting IoT systems. Therefore, with EM emanation it becomes possible to detect stealthy malware (e.g.

IoT 141
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Nastiest Malware 2024

Webroot

In our annual “Nastiest Malware” report, now in its sixth year, we’ve observed a steady increase in both the number and sophistication of malware attacks. Now let’s take a look at this year’s Nastiest Malware. It is the most successful and lucrative avenue for monetizing a breach of a victim.

Malware 108