Vermont Patent of the Month – August 2023
SOOS, LLC has made a name for itself as an affordable, easy-to-integrate Software Composition Analysis and Dynamic Application Security Testing solution. This industry requires continuous development and innovation to stay ahead of any risks. In line with this, the company has recently patented a system for automated malicious software detection.
With the rise of open-source software repositories, vulnerabilities have emerged, as hackers exploit the system by introducing look-alike packages and libraries that closely resemble authentic counterparts, often with slight typographical variations.
SOOS’ inventive system for automated malicious software detection addresses these new threats at their source. At its core, this cutting-edge system is designed to analyze and differentiate between legitimate software components and malicious imitations, thereby enhancing overall cybersecurity.
The heart of the technology lies in its ability to understand metadata differences and correlations. When a software component is received, containing vital software metadata such as component names, the system springs into action. It obtains a source repository, which is a vital database of source metadata. Through a series of advanced calculations, the system identifies the string distance between the software component’s metadata and the source metadata.
By generating a malicious machine-learning model, trained on malicious identifiers and metadata differences, the system gains the prowess to spot nefarious elements with accuracy. This empowers the system to quantify the maliciousness of software components and their sources.
The potential applications of SOOS’ innovation are immense. This automated system promises to significantly elevate the security of open-source software repositories, protecting both developers and users from potential threats. Its ability to detect even subtle variations and common typing errors in package names showcases its sophistication.
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