Automated Cloud Penetration Testing via Metadata Extraction
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Solution Overview
Problem
Current automated penetration testing solutions for cloud environments are costly, time-consuming, and require significant user intervention, often missing potential security issues due to user error in configuration and lack of expertise in cloud resource management.
Innovation Solution
A system and method for automated penetration testing that uses a processor to extract metadata from a cloud environment, generate a configuration file, and perform penetration testing with minimal user input, capable of identifying security risks and generating reports, compatible with various cloud environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated penetration testing solutions are used, then productivity is improved, but device complexity increases due to configuration requirements
Solution Approach 1:
The system performs self-configuration by automatically extracting cloud metadata and generating penetration testing configurations without requiring user expertise. The processor autonomously identifies cloud services, authentication mechanisms, and testing parameters from the provided cloud credentials, eliminating the need for manual configuration while maintaining high productivity.
2Measurement precision
If manual penetration testing with external hackers is performed, then measurement precision is improved through expert analysis, but loss of time increases due to physical presence requirements
Solution Approach 1:
The system replaces the mechanical process of manual hacker analysis with an automated computational system. The processor executes penetration testing algorithms that automatically analyze cloud configurations, identify vulnerabilities, and generate reports, achieving expert-level detection accuracy without the time constraints of manual intervention or physical presence requirements.
3Reliability
If comprehensive cloud security configuration is attempted by users, then reliability is improved, but ease of operation deteriorates due to expertise requirements
Solution Approach 1:
The system introduces an intermediary layer between the user and the complex cloud security configuration space. The processor acts as a mediator that translates simple user inputs (cloud credentials and service selection) into comprehensive penetration testing configurations, ensuring high reliability without requiring users to possess cloud security expertise.
4Ease of operation
If automated penetration testing is performed with minimal user input, then ease of operation is improved, but loss of information increases due to automated configuration generation
Solution Approach 1:
The system implements feedback mechanisms where the processor automatically validates extracted cloud metadata against known cloud service patterns and authentication standards. This feedback loop ensures that the generated configuration file accurately reflects the target cloud environment, preventing information loss while maintaining ease of operation through minimal user input requirements.
Data Source
AI summary
Disclosed below is a system and method for automated penetration testing for cloud. The system and method comprises extracting metadata from the cloud, using the metadata to identify parameters and targets for penetration testing, receiving inputs related to penetration testing from a user and generating a configuration file for penetration testing as a code. Further, it comprises performing penetration testing automatically and remotely, without pentesters, based on the generated configuration file.