Fuzz testing method based on static detection

Abstract

The invention belongs to the technical field of network security, and relates to a fuzz testing method based on static detection. The method comprises source code static analysis and executable code fuzz testing. According to the method, firstly, target software is subjected to static analysis through source code static analysis related software, and fuzz testing is carried out to obtain a static analysis result, then, code segments considered to have problems through the static analysis are subjected to pile inserting marking, and finally, testing cases are subjected to variation on the basis of the pile inserting marking, so that the testing cases can cover all code segments with problems. The fuzz testing method has the advantages that the advantages of the static detection and the fuzz testing are combined, the static detection is verified through the fuzz testing, and the false alarm condition of the static detection is excluded; on the other hand, the fuzz testing is guided by the static detection result, so that random testing cases used by the fuzz testing have a higher pertinence, and the fuzz testing efficiency is improved. The defects of high false alarm rate, low detection efficiency and the like of the traditional method adopting the random testing cases for testing are overcome.

Description

technical field [0001] The invention belongs to the technical field of network security, and relates to a method for analyzing and testing software security, in particular to a fuzzy testing method based on static detection, which combines the advantages of static detection and fuzzy testing to analyze the security of software. Background technique [0002] With the rapid development of information technology, a large number of software appear in the industrial, commercial, military and people's daily lives. Software security has become a major issue affecting the national economy and people's livelihood. It is a huge security risk, opening the door for malicious intrusion by attackers, and becoming the entrance and way for malicious codes such as Trojan horses and viruses to spread wantonly. With the development of attack methods, software security issues have become increasingly prominent. In order to discover the security problems of software as early as possible, softwa...

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Problems solved by technology

[0004] Static detection results based on pure source code have the disadvantage of high false positive rate, and can only detect vulnerabilities of known vulnerability models. After the detection is completed, experienced personnel need to spend a lot of time analyzing the detection results

[0005] Fuzz testing needs to use random or artificial methods to construct test cases (a specific series of operation behaviors and input values ​​​​for testing). When an exception occurs, testers need to analyze the data packets that caused the exception to find software vulnerabilities. The test exists that the test time is too long, the test is not targeted, and the test efficiency

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