India's largest platform and marketplace for AI & Analytics leaders & professionals

Sign in

India's largest platform and marketplace for AI & Analytics leaders & professionals

3AI Digital Library

IoT devices at risk from Amnesia:33

3AI December 11, 2020

A new series of vulnerabilities dubbed Amnesia:33 puts millions of IoT devices at risk of being compromised.

Security researchers from Forescout disclosed the 33 vulnerabilities today. The flaws are found in four open-source TCP/IP libraries used in the firmware of products from over 150 vendors.

According to the researchers’ estimates, millions of consumer and enterprise IoT devices are at risk from Amnesia:33 vulnerabilities.

The affected libraries are uIP, FNET, picoTCP, and Nut/Net. Manufacturers have used these libraries for decades to add TCP/IP support to their products.

Here are the number of vulnerabilities discovered in each library:

  • uIP – 13
  • picoTCP – 10
  • FNET – 5
  • Nut/Nut – 5

uIP, the most vulnerable library, was also found to be used in the highest number of vendors.

Forescout also analysed the following libraries but did not find any vulnerabilities: lwIP, CycloneTCP, and uC/TCP-IP. 

Due to the prevalence of these libraries, just about every type of connected hardware is impacted by Amnesia:33—from SoCs to smart plugs, from IP cameras to servers.

Unlike the previously disclosed Ripple20 vulnerabilities, Amnesia:33 primarily affects the DNS, TCP, and IPv4/IPv6 sub-stacks.

Ripple20 and Amnesia:33 vulnerabilities both predominately consist of Out-of-Bounds Read, followed by Integer Overflow.

IoT devices (46%) represent the highest number of affected device types, according to Forescout’s research. This is followed by OT/BAS and OT/ICS at 19 percent, and then IT at 16 percent.

(Disclaimer: The opinions expressed in this column are that of the writer. The facts and opinions expressed here do not reflect the views of www.xtechalpha.com.)

    3AI Trending Articles

  • Evolution of Biometric Recognition Systems with AI

    Featured Article: Author: Kiranjit Pattnaik, MiQ What are biometric recognition systems Biometric recognition systems are computer-based systems that use an individual’s physical characteristics, such as their fingerprint, voice, face or any other part of the body, to authenticate their identity and grant access to secure areas, systems, or services. They are used increasingly as an […]

  • Data for AI -Optimizing AI Governance and Implementing Key Performance Indicators for Success

    Featured Article Author: Prabhu Chandrasekharan Artificial Intelligence (AI) is revolutionizing industries by driving automation, optimization, and innovation. As AI systems become more complex, establishing robust governance frameworks focused on ‘Data for AI’ is essential. This ensures data quality, security, and neutrality, leading to reliable AI outcomes. Effective AI governance hinges on several Key Performance Indicators […]

  • SolarWinds cyber attack: Catalyst to rethink Federal Cybersecurity

    Federal chief information officers and chief information security officers didn’t get a lot of sleep last week, and may not for the foreseeable future. CIOs and CISOs have spent a long week trying to get a handle on the impact on their networks, systems and data from the SolarWinds cyber attack. After the Department of Homeland […]

  • AI – Insights for Telco industry

    Featured Article: Author: Sandeep Sudarshan, CTO – Telecom, Capgemini UK The Communications sector has seen disruptive changes in the last decade from being a basic telephony and SMS provider to a quad play operator under intense competition from media and hyperscalers and OTT innovators. As the market is gearing itself for 5G high speed low […]