Fuzz testing is a method of detecting software vulnerabilities by providing unexpected input to the target system and monitoring for abnormal results.
The implementation of fuzz testing is a very simple process:
The SmartRocket Fuzzing Fuzzing test tool is a new generation weapon for DevSecOps. By inserting the software source code or binary program, it realizes the software runtime state monitoring, and continuously outputs more effective test cases to traverse the new or unpredictable execution path, thus triggering various exceptions and restoring the existing vulnerabilities. It applies program analysis, reverse engineering, code piling, symbol execution and artificial intelligence and other cutting-edge technologies in the computer field.
By piling the program and trying to approximate all the execution paths of the program, test cases are generated automatically through various algorithms to discover potential defects in the program. It applies program compilation, control flow analysis,
Automatic analysis of defects and vulnerabilities can be detected in the following types:1.Runtime error: division by 0, segment error, dead loop, deadlock;2.Memory security defects: heap overflow, stack overflow, buffer overflow;3.Assertion issue exposed
Support for C/C++ language source code fuzzy testing. Integration testing for source code engineering is very simple in three steps:1.Provide a directory or package of source code projects that can be compiled, determine the way to build them automaticall
1.Binary programs can be run directly or in a virtual machine environment.2.Binaries are divided into applications and services or dynamic libraries.3.For applications which is similar to source code compiled directly after execution in the environment.
With the rapid development of information technology, the functions and scale of software are increasing day by day, and the traditional testing and defect analysis methods relying on human hands cannot meet the needs of the future. How to ensure the reliability and security of software has become an increasingly serious challenge.
Fuzziness tests automatically generate test cases to discover potential defects in a program by attempting to approximate all execution paths of the program. Fuzz testing can also be integrated into the original CI/CD/DevOps development process as a continuous deployment process, and become a complete set of automated vulnerability discovery system to help customers find bugs and vulnerabilities efficiently, quickly and easily.