API Security Testing Using Spec Deviation Scoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Enterprise applications using API services are exposed to security risks such as data leakage, server attacks, and discrepancies between published IDL and actual API implementations, which can be circumvented by the API service itself, and over time, the quality of these services deteriorates, known as 'bit-rot'.
Innovation Solution
A method involving penetration testing and dynamic IDL reconstruction is used to identify discrepancies between the API service and its specification, assigning a deviation score that reflects the current state of the API service, with techniques like fuzzing and chaos engineering integrated into normal operations to disguise testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If penetration testing is performed on API services, then security vulnerabilities and implementation omissions can be identified, but the API service may detect the testing and circumvent it by returning test data
Solution Approach 1:
The system performs preliminary actions by embedding security tests within normal operational workflows before the API service can detect and respond to testing. By integrating tests into legitimate request patterns, the system establishes a baseline of normal behavior that masks the testing activity, preventing the service from identifying and circumventing the security checks.
Solution Approach 2:
The system uses an intermediary approach by routing tests through legitimate user agents and request patterns that mediate between the tester and the API service. This intermediary layer disguises the testing nature of requests, making them indistinguishable from normal operational traffic, thereby preventing the service from detecting and blocking the security assessment.
2Reliability
If continuous monitoring of API service quality is implemented to detect bit-rot, then service deterioration can be identified over time, but the complexity of implementing and maintaining such monitoring increases
Solution Approach 1:
The monitoring system is designed with multi-functionality to reduce complexity. The same infrastructure that handles normal API traffic is also used to perform security assessments and quality monitoring. By making the monitoring system universal and integrating it into existing operational workflows, the patent avoids the need for separate complex monitoring infrastructure, thereby reducing overall system complexity while maintaining continuous quality detection capabilities.
3Reliability
If security tests are integrated into normal operations to disguise testing, then the API service cannot detect and circumvent testing, but it becomes difficult to distinguish between operational traffic and test traffic
Solution Approach 1:
The system applies local quality by embedding specific test characteristics within localized portions of the traffic flow rather than uniformly across all traffic. By injecting tests at specific points and with specific patterns that mimic legitimate user behavior at those locations, the system maintains testing authenticity while avoiding the need to differentiate all traffic, thereby reducing the difficulty of traffic analysis.
Data Source
Figure 1
Figure 2~3
AI summary
According to some embodiments, a method comprises: obtaining an application programming interface (API) specification for an API service; performing one or more tests on the API service to determine an amount of deviation between the API service and the API specification; and determining a deviation score based on the amount of deviation between the API service and the API specification. The method may include transmitting the deviation score to a scoring agent.