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Source Code of IoT Botnet Satori Publicly Released on Pastebin

January 03, 2018

The source code of the Satori internet-of-things (IoT) botnet was posted online on Pastebin, security researchers . In early December last year, Satori 280,000 IP addresses in just 12 hours, ensnaring numerous home routers to become part of its botnet.

Satori (also known as Mirai Okiru, and detected by live casino online as ELF_MIRAI.AUSR), which means “enlightenment” or “awakening” in Japanese (“okiru” means “to rise”), was pegged to be the successor of the infamous , which similarly zombified routers and knocked high-profile sites offline. Like Satori, the original Mirai’s source code was also publicly, and has since spawned iterations. Mirai-based attacks were recently in Colombia, Ecuador, Panama, Egypt, Tunisia, and Argentina.

Satori exploits two vulnerabilities:

  • CVE-2017–17215 — a vulnerability in Huawei Home Gateway routers (Huawei HG532), last November 2017. Attacks that use an exploit for this vulnerability targets port 37215.
  • CVE-2014-8361 — a command injection vulnerability in Realtek SDK miniigd Universal Plug and Play (UPnP) SOAP interface ( May 2015). Attacks that exploit this vulnerability target port 52869.

Initial feedback from live casino online’s telemetry revealed over 170,000 Satori-related detections in December 2017. The Satori-related attacks were prominent in Europe (Italy, France), North Africa and Middle East (Tunisia, Egypt), and South America (Colombia, Ecuador), as well as the U.S. and Japan.

[READ: Securing Your Routers Against Mirai and Other Home Network Attacks]

Satori is a credible threat given the increasing popularity of IoT devices in homes and workplaces, and the adverse impact they can cause when compromised. Distributed denial-of-service (DDoS) attacks, Domain Name System (DNS)-changing malware, and cryptocurrency-mining malware are just some of the threats users and businesses can be exposed to. IoT devices can also suffer from significant performance slowdowns.

Here are some best practices for making routers and networks more resistant to attacks:

  • Update and/or strengthen their credentials to deter hackers from hijacking them
  • Keep the router or IoT device’s firmware and software updated to prevent attackers from exploiting security gaps
  • Use encryption to thwart attackers from snooping in on their network traffic, especially if the device is used in the workplace
  • Enable the built-in firewall
  • Disable unnecessary or outdated components that can be abused by attackers and used as doorways into the device or systems that may be connected to it
  • Deploy additional layers of security such as intrusion detection and prevention systems

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live casino online??Deep Discovery? provides detection, in-depth analysis, and proactive response to attacks using exploits and other similar threats through specialized engines, custom?, and seamless correlation across the entire attack lifecycle, allowing it to detect these kinds of attacks even without any engine or pattern update. These solutions are powered by XGen? security, which provides a cross-generational blend of threat defense techniques against a full range of threats for data centers, cloud environments, networks, and endpoints. Smart, optimized, and connected, XGen? powers live casino online’s suite of security solutions: Hybrid Cloud Security, User Protection, and Network Defense.

live casino online Deep Discovery Inspector protects customers from Satori-related threats through these DDI rules:

  • 3215: Command Injection via UPnP SOAP Interface – HTTP (Request)
  • 3772: GAFGYT - HTTP (Request)
  • 2261: GAFGYT - HTTP (Request)

live casino online Smart Home Network protects customers from Satori-related threats through these detection rules:

  • 1133480 EXPLOIT Remote Command Execution via Shell Script -2
  • 1133148 MALWARE Suspicious IoT Worm TELNET Activity -1
  • 1134286 WEB Realtek SDK Miniigd UPnP SOAP Command Execution (CVE-2014-8361)
  • 1134287 WEB Huawei Home Gateway SOAP Command Execution
  • 1133534 MALWARE Suspicious IoT Worm TELNET Activity -2
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