RPC Fuzz Attack Tool for Vulnerability Detection
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Solution Overview
Problem
Current technologies for testing computer programs, particularly Remote Procedure Call (RPC) services, are often incompatible and fail to adequately check user input data, leading to vulnerabilities that can result in security flaws and reputational losses for software providers.
Innovation Solution
A method and system for testing RPC software using a network of computer systems, involving an interface parser, fuzzer, attack data generator, recorder, verifier, and service status detective to identify, remediate, and verify vulnerabilities in RPC interfaces, including converting IDL files to XML and using randomized data to simulate attacks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If RPC services assume all user input data is valid and properly organized, then the program operation is simplified and efficient, but security vulnerabilities arise when input data exceeds expected limitations
Solution Approach 1:
The patent applies preliminary anti-action by implementing input validation checks before processing user data. The system proactively defines maximum length constraints for input parameters (e.g., username, password, computer name) and validates incoming data against these constraints, preventing buffer overflow attacks and other security vulnerabilities before they can exploit the simplified processing path.
2Measurement precision
If third parties use the program to reveal vulnerabilities, then security flaws are discovered, but the software provider suffers loss of sales, development costs, and reputational damage
Solution Approach 1:
The patent implements preliminary action by conducting automated fuzz testing and vulnerability scanning during the software development and testing phases, before the software is released to third parties. The system proactively identifies security flaws in RPC services through simulated attacks and input validation tests, allowing developers to fix vulnerabilities before they can be exploited by malicious actors.
Solution Approach 2:
The patent converts the potentially harmful activity of vulnerability exploitation into a beneficial security testing mechanism. By implementing automated fuzz testing that simulates malicious attacks, the system transforms what would be harmful third-party exploitation attempts into controlled, beneficial security assessments that improve software resilience without causing actual damage.
3Productivity
If automated testing methods are implemented for RPC services, then vulnerability detection efficiency is improved, but testing tool compatibility and complexity increase
Solution Approach 1:
The patent applies universality by designing a standardized testing framework that can automatically test multiple RPC service implementations across different platforms and protocols. The system uses a common architecture with configurable test cases that can adapt to various RPC standards, reducing the need for separate specialized tools for each service type and thereby managing complexity while maintaining high detection efficiency.
Data Source
AI summary
A system and method for testing a computer program using a computer system includes a plurality of computer systems communicating using a network. An interface parser module defines at least one program interface in a program file of a specified program. A fuzzer module reads the program file and identifies the program interfaces. An attack data generator module attacks the program interfaces and communicates with the fuzzer, and the fuzzer determines vulnerabilities in the specified program. A recorder records the attacking procedure. A verifier verifies remedies for vulnerabilities by replaying the attacking procedure of the program interface and determining vulnerabilities. A service status detective module restarts the specified program when the specified program ceases to operate or crashes.