Double happiness | Open source network security SFuzz won the first place in Google FuzzBench and obtained CWE international certification

Recently, the "grey box code fuzz testing system" launched by the open source network security fuzz testing platform SFuzz in the first half of the year, after several months of continuous optimization, stood out in Google's FuzzBench benchmark test and topped the list. In addition, SFuzz has successfully obtained CWE international compatibility certification, further consolidating its outstanding position in the field of network security.

FuzzBench is a benchmark service open sourced by Google for evaluating the performance of various fuzz testing tools. It aims to provide users with a convenient but rigorous performance evaluation environment. In-depth analysis of target tools and generation of reports comparing target tool performance to other tools under test based on real-world benchmarks and various experiments.

SFuzz won the first place with its excellent "grey box code obfuscation capabilities". This achievement not only proves SFuzz’s leadership in the field of fuzz testing, but also demonstrates its superior performance in discovering and fixing software vulnerabilities.

/  SFuzz product team stated  /

“We are very proud of SFuzz’s excellent performance in the FuzzBench benchmark. This achievement is the result of our team’s unremitting efforts and focus on continuous innovation. At the same time, obtaining the CWE international compatibility certification is also a sign of our continued efforts to provide users with high-quality, Our commitment to highly secure solutions. We will continue to work hard to help government and enterprise users protect their critical assets and ensure their network security is impeccable."

The open source network security fuzz testing platform (SFuzz) is a black-box security detection product independently developed based on fuzz testing technology. It focuses on fuzz testing of file formats and network protocols. By inputting test cases intelligently generated based on models into the target program, it can detect efficiently Detect unknown vulnerabilities in various software and hardware systems.


Guess you like

Origin blog.csdn.net/weixin_55163056/article/details/132964563