Binary Code Security Scoring Through Automated CVSS Factor Detection
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Solution Overview
Problem
Existing methods for determining the security score of binary software code, such as the Common Vulnerability Scoring Standard (CVSS), rely on manual qualitative assessments that are inefficient and prone to bias, leading to inaccurate risk evaluations.
Innovation Solution
Automatically inspecting binary software code to determine security factors like attack vector, attack complexity, privileges required, user interaction, scope, confidentiality, and integrity, and calculating a security score using these factors to provide an efficient and accurate assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual qualitative assessment methods (such as CVSS) are used to determine security scores, then human judgment and flexibility are applied, but the process becomes inefficient and prone to bias leading to inaccurate risk evaluations
Solution Approach 1:
The patent replaces manual human assessment with automated computational analysis. A processing system automatically inspects binary software code, extracts security-relevant features, and calculates security scores using standardized formulas, eliminating human bias and inefficiency while maintaining measurement precision through consistent application of security metrics
Solution Approach 2:
The system enables self-service security assessment where the binary code itself provides the necessary information through automated feature extraction and analysis. The processing system independently evaluates security factors without requiring human intervention, making the assessment process both efficient and reproducible
2Reliability
If manual qualitative assessment is used, then flexibility in judgment is maintained, but consistency and objectivity are compromised leading to biased evaluations
Solution Approach 1:
The patent transforms subjective qualitative assessments into objective quantitative parameter measurements. By defining specific security factors (attack vector, attack complexity, privileges required, user interaction, scope, confidentiality, integrity, availability) with standardized measurement parameters, the system ensures consistent and objective evaluations across different assessments
3Productivity
If automated inspection is implemented, then efficiency and accuracy are improved, but the complexity of the inspection system increases
Solution Approach 1:
The patent segments the security assessment process into distinct modular components: feature extraction module, security factor determination module, and score calculation module. Each module handles specific aspects of the inspection, making the overall complex system manageable and maintainable while achieving high productivity through automated processing
Data Source
AI summary
Systems, methods, and software can be used to determine a security score of a binary software code. In some aspects, a computer-implemented method comprises: receiving a binary software code; inspecting the binary software code to determine at least one Common Vulnerability Scoring Standard (CVSS) factor; and determining a CVSS score based on the at least one CVSS factor.