Vulnerability Identification System for Software Libraries
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Solution Overview
Problem
Software supply chain attacks often go undetected until after vulnerabilities in open-source libraries are exploited, leaving a time window for severe data breaches and financial loss.
Innovation Solution
A method involving obtaining a library, retrieving vulnerability information from external data sources, generating rules based on this information, training a machine learning model with these rules, scanning applications that use the library for vulnerabilities, and providing indications of vulnerability presence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vulnerabilities are identified only by hackers or researchers after discovery, then vulnerability detection relies on external偶然 findings, but this leaves a time window for data breaches and financial loss
Solution Approach 1:
The patent applies preliminary action by proactively scanning applications for vulnerabilities before they can be exploited by attackers. The system continuously monitors and identifies vulnerabilities in advance, allowing organizations to remediate issues before they lead to data breaches or financial loss, thus eliminating the reactive waiting period for hacker discoveries.
Solution Approach 2:
The patent implements feedback mechanisms by continuously scanning applications and providing real-time vulnerability information. The system feeds vulnerability detection results back into the remediation process, enabling continuous improvement and immediate response to newly discovered vulnerabilities, thereby reducing the time window for potential attacks.
2Reliability
If proactive vulnerability scanning is implemented, then the time window for data breaches is reduced, but system complexity and scanning overhead increase
Solution Approach 1:
The patent applies universality by creating a multi-functional vulnerability scanning system that can detect multiple types of vulnerabilities across different applications and libraries using a single unified platform. This consolidates what would otherwise require multiple separate tools and processes, reducing overall system complexity while maintaining comprehensive coverage.
Solution Approach 2:
The patent implements self-service through automated vulnerability identification and remediation processes. The system automatically scans, detects, and provides remediation guidance without requiring extensive manual intervention or complex configuration, thereby reducing operational complexity while maintaining high detection reliability.
3Measurement precision
If comprehensive vulnerability scanning is performed on all applications, then detection coverage is improved, but scanning time and resource consumption increase
Solution Approach 1:
The patent applies segmentation by dividing the vulnerability scanning process into targeted segments based on application criticality, library usage patterns, and vulnerability severity. This allows the system to prioritize scanning of high-risk areas while reducing or skipping low-risk components, thereby maintaining comprehensive detection coverage for critical systems while reducing overall scanning time and resource consumption.
Data Source
AI summary
Methods, systems, and computer program products may obtain a library; obtain, from at least one external data source, information associated with at least one vulnerability associated with the library; generate, based on the information associated with the at least one vulnerability associated with the library, at least one rule associated with the at least one vulnerability; train at least one machine learning model with the at least one rule associated with the at least one vulnerability; scan, based on the at least one rule associated with the at least one vulnerability, at least one application that uses the library to identify whether the at least one application includes the at least one vulnerability; and provide an indication of whether the at least one application that uses the library includes the at least one vulnerability.