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Industry, the less protected robots identified thanks to Aztarna

Industry, The Less Protected Robots Identified Thanks To Aztarna

Not all the industrial robots are well protected against the cyber threats. Spanish cyber security startup Alias Robotics developed Aztarna tool to detect the less ones

The less protected industrial robots can be easily identified thanks to Aztarna. It’s a tool developed by the Spanish cyber security startup Alias Robotics, that detects vulnerable industrial routers and robots powered by ROS (Robot Operating System), SROS (Secure ROS) and other technologies. According to The Hacker News, “is basically a port scanning tool with a built-in database of fingerprints for industrial routers (including Westermo, Moxa, Sierra Wireless, and eWON), and robotic technologies and components, as well as patterns that power the tool to test those devices against various known vulnerabilities and security misconfigurations”. Researchers explained that Aztarna has been designed to work in different work modes, based upon different penetration testing scenarios. It can scan a list of given IP addresses, a network IP range, results from Shodan search engine and even the whole Internet in conjunction with other scanning tools like ZMap or masscan.

The cyber risks for industrial robotics is increasing. This, because the cyber-physical systems and the IIoT are on the rise worldwide

The development of this tool poses serious questions about the robotics sector and the cyber security. How strong are the robots defenses? What would happen if one ore more were hacked? Could they be used to sneak in to an industrial network and to escalate privileges (as a Trojan Horse)? This, especially because the cyber-physical systems and the IIoT are on the rise worldwide. Many organizations, as Alias Robotics, are reacting studying new techniques to better protect them. “Motivated by the lack of dedicated tooling for security research in the field of robotics, we have developed aztarna, a tool aimed to help in the detection and scan of robots and robot technologies (including software components) on a network,” the researchers said according to The Hacker News.

Photo Credits: Alias Robotics

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