Papers by Keyword: Fuzzing

Abstract: In order to detect Internet Explorer browser vulnerabilities, the miner distributed with test method based on the DOM tree are designed and implemented, it also implemented dynamic selection of the test case execution, experiment results found 50 IE vulnerabilities.

Abstract: Nowadays, fuzzing is one of the most effective ways to identify software security vulnerabilities, especially when we want to discover vulnerabilities about documents. According to the principles and ideas of Fuzzing, a vulnerability discovery system named WFuzzer is developed. This system can overcome the disadvantage of old ways; it also effectively improves the detection of potential unknown security vulnerabilities. This system is more automated and performs better in finding new security vulnerabilities.

Abstract: Traditional Fuzzing is simple and easy to deploy but inefficient due to different inputs usually execute the redundant path. In this paper, we put forward a binary-oriented Fuzzing technique based on input format analysis and dynamic taint analysis, which can detect vulnerability more efficient than traditional Fuzzing method. We implemented a prototype system called Smart and Directed Fuzz (SDFuzz), which first searches the locations where interested functions are called, then uses dynamic taint analysis technique to classify input data into safety-related data and safety-unrelated data, finally mutates safety-related data to direct the test procedure. The evaluation shows that our method can be used to detect vulnerabilities in binary software efficiently.

Abstract: Developed a new system model of software vulnerability discovering, which was based on fuzzing, feature matching of API sequences and data mining. Overcame the disadvantages of old techniques, this new method effectively improves the detection of potential unknown security vulnerabilities in software. Besides, this method is more automated and performs better in finding new security vulnerabilities.

Abstract: The morphology and dimension of wool fibers were compared from the usually processed in the wool applications to investigate the relationships between shape and dimensions of wool and fuzzing and pilling of knitted fabrics. The frictional coefficients of wool fibers were measured by capstan method. The surface morphology were observed by scanning electron microscopy (SEM), and the cuticle scale edge height (CSH) were measured to verify the relationship between CSH and the differential friction effect (DFE). The hairiness and tensile properties of yarn were also reported. The pilling comparative experiments of the corresponding knitted fabrics were conducted with the ICI pilling box according to GBT 4802.3-2008. The pilling grades were estimated by numbers of pills. Experimental results showed that the CSH increased with the slenderness of wool fiber when the length is approximately equivalent. Specifically, the DFE increased distinctly as the CSH increased. The pills weight of wool knitted fabric was in good agreement with the CSH, DFE.