Graph Database for Open Source Vulnerability Remediation
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Solution Overview
Problem
Existing methods for addressing vulnerabilities in transitive dependencies of open-source software are inefficient, particularly when dealing with large datasets, as they often require brute force approaches that are time-consuming and scalable poorly.
Innovation Solution
The use of a graph database to store and query relationships between open-source packages and their versions, allowing for rapid identification of secure versions that avoid vulnerabilities, is proposed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a brute force approach is used to update open-source packages to fix vulnerabilities, then the method is simple to implement, but the time required increases significantly and scalability deteriorates with large datasets
Solution Approach 1:
The patent pre-computes and stores dependency graphs in a graph database before vulnerabilities occur. When a vulnerability is detected, the system queries the pre-built graph to find affected packages and safe versions, eliminating the need for time-consuming brute force exploration during remediation.
Solution Approach 2:
The patent introduces a graph database as an intermediary between the vulnerability detection system and the package update process. This intermediary stores pre-computed dependency relationships, enabling fast queries to identify safe package versions without performing exhaustive searches.
2Device complexity
If a brute force approach is used to check package versions, then the method requires minimal infrastructure, but productivity decreases due to poor scalability
Solution Approach 1:
The system performs preliminary computation by building and storing complete dependency graphs in advance. This pre-computation shifts the workload from runtime brute force searches to offline graph construction, significantly improving remediation speed while maintaining manageable infrastructure complexity.
Solution Approach 2:
The patent creates a virtual copy of the entire dependency graph in the graph database, allowing multiple simultaneous queries about package relationships without affecting the actual package ecosystem. This enables fast, parallel vulnerability analysis across large datasets.
3Reliability
If open-source packages are kept up to date to fix vulnerabilities, then security improves, but the complexity of managing dependency trees increases
Solution Approach 1:
The graph database serves as an intermediary that stores and pre-processes dependency relationships. This allows the system to query safe package versions by traversing the pre-built graph rather than manually analyzing complex dependency trees, reducing management complexity while maintaining security.
Solution Approach 2:
The system provides feedback by querying the graph database to identify which packages and versions are safe to use, enabling automated selection of secure dependencies. This feedback mechanism simplifies the decision-making process for maintaining security in complex dependency structures.
Data Source
AI summary
Software is commonly built from a package of software packages, such as open-source packages. A package may require a number of interdependent packages, any one of which may have a security vulnerability. However, the dependencies between packages are often version specific and merely upgrading a package to the newest, or newest non-vulnerable, version may break a dependency and cause the software to be unbuildable (e.g., fail to compile or link) or, if built, faulty. By mapping dependencies to non-vulnerable versions a graphical representation may be built having one or more root-to-leaf paths identifying all the required packages by compatible version but exclude any vulnerable versions. The package may then be built to ensure the resulting software is both internally compatible between packages and absent known security vulnerabilities.