Static API Dependency Analysis for Cloud Routing Vulnerabilities
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Solution Overview
Problem
Existing cybersecurity solutions for detecting API vulnerabilities in computing environments struggle to adapt to new and evolving threats, often relying on predefined rules that fail to account for actual relationships between interconnected computing interfaces, leading to misconfigurations and security gaps.
Innovation Solution
A method and system for static analysis that scans routing configurations of computing interfaces, identifies dependencies, determines paths, and detects vulnerabilities by correlating actual traffic flows with expected flows, using gateway credentials and scanners to enforce specific policies and reconstruct traffic for comprehensive vulnerability detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If predefined rules are used for detecting API vulnerabilities, then the detection process is simple and fast, but the accuracy and adaptability to new threats deteriorate
Solution Approach 1:
The system performs static analysis of API configurations and dependencies in advance, building a model of expected traffic flows before actual attacks occur. This preliminary modeling enables fast detection while maintaining high accuracy by comparing actual traffic against the pre-established baseline of normal behavior.
Solution Approach 2:
The system continuously monitors actual traffic patterns and compares them against the modeled expected flows, using this feedback to detect deviations that indicate vulnerabilities or attacks. The feedback loop enables the system to adapt to evolving threats while maintaining detection accuracy.
2Reliability
If static analysis of configurations is performed, then vulnerability detection accuracy is improved, but the analysis time and processing complexity increase
Solution Approach 1:
The system segments the static analysis process into distinct phases: extracting configurations, identifying dependencies, modeling expected traffic flows, and comparing against actual traffic. This segmentation enables efficient processing by handling each phase independently and optimizing it separately.
Solution Approach 2:
The static analysis framework is designed to be universally applicable across different API types and configurations, using a single unified approach to analyze various computing interfaces. This universality eliminates the need for multiple specialized analysis tools and reduces overall processing time.
3Reliability
If dependency scanning and path determination are performed, then the ability to detect misconfigurations is improved, but the system complexity and resource requirements increase
Solution Approach 1:
The system introduces an intermediary traffic flow model that mediates between the raw configuration data and the actual traffic analysis. This intermediate representation simplifies the relationship between configurations and traffic patterns, making the system easier to understand and manage while maintaining comprehensive detection capability.
Solution Approach 2:
The system transforms the dependency scanning problem from a complex graph analysis into a traffic flow modeling problem by adding the temporal and operational dimensions of actual traffic patterns. This dimensional transformation simplifies the detection of misconfigurations by viewing them through the lens of expected versus actual traffic behavior.
Data Source
AI summary
A system and method for static analysis. A method includes accessing a cloud component in order to obtain configurations including sets of instructions used for routing to computing interfaces, wherein the cloud component is used to route requests to a plurality of computing interfaces. Dependencies of the computing interfaces are identified by scanning each of the configurations, where each dependency is a reliance by the computing interface on a service provided by another component in a computing environment and the dependencies are identified by applying dependency identification rules with respect to at least one type of resource implemented in each computing interface. Paths are determined based on the identified dependencies, where each path includes at least one of the computing interfaces through which requests are routed. A vulnerability is detected among the computing interfaces based on the determined paths.