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

  • Improving Customer Experience – AI/ML Driven Issue Resolution

    Author: Ashish Vashishta, VP – Technology, eClerx Customers across industries typically face issues with their purchased products/services. A troubleshooting system which can use latest AIML technologies to resolve these issues faster and more effectively can lead to a much better customer experience. As an example, a customer may have purchased a bundled product offering – […]

  • IoT devices at risk from Amnesia:33

      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 […]

  • Establishing Effective Text Data with Sentiment Analysis

    Featured Article Author: Vinoth Nageshwaran, Business Insider Establishing effective text data frameworks with sentiment analysis is essential for organizations looking to derive meaningful insights from textual information. Sentiment analysis, a subset of natural language processing (NLP), involves identifying and categorizing opinions expressed in text to determine the sentiment behind them. This technique is invaluable for […]

  • Facebook is testing an AI-powered tool to Summarize News

    Facebook has been trying to get a foothold in the news space for many years. Last year, the company launched a dedicated section on its site called Facebook News for users in the US. It also wants to expand this program to other countries such as Brazil, Germany, and India. According to a report from […]