An AFL-based fuzzy test mutation method and apparatus

A fuzzing and mutation technology, applied in software testing/debugging, error detection/correction, instruments, etc., can solve problems such as increased resource consumption, achieve the effect of low consumption, improve efficiency, and reduce blindness

Active Publication Date: 2018-12-28
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0011] In view of this, the present invention provides an AFL-based fuzzing mutation method and device, which can improve the efficiency

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  • An AFL-based fuzzy test mutation method and apparatus
  • An AFL-based fuzzy test mutation method and apparatus

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[0049] Therefore, the present invention utilizes the bitfip stage of the deterministic mutation stage to collect valid bytes. In this stage, all the bytes of the test case i are flipped one by one to generate the test case i', and if the test case i' triggers a new path, the flipped byte is considered to be a valid byte. Traditional AFL discards valid bytes after using them in the deterministic mutation stage. The additional operation required by the present invention is: to count valid bytes and maintain them in the valid byte table. In this way, valid bytes can be identified using the valid byte table during subsequent mutation operations.

[0050] However, in some special cases, the above operations will not be performed: if the input file is less than 128 bytes, all bytes are directly considered to be valid bytes. Or, when it is determined that the proportion of valid bytes in a test case exceeds a certain value (for example, 90%), then all the bytes in the test case are ...

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Abstract

The invention discloses an AFL-based fuzzy test mutation method and an apparatus. The effective byte of a test case is determined in the deterministic mutation stage of the AFL. In the deterministic mutation stage, the mutation byte is determined according to the information of the effective byte, and all invalid bytes are not mutated; in the destructive mutation stage, the mutation is guided according to the information of the effective byte, and if the current randomly selected byte is an effective byte, the mutation is certain; otherwise, a small probability of mutation is given. The invention can improve the efficiency of the AFL, and can solve the problem of increasing resource consumption caused by the prior symbol execution and stain analysis technology.

Description

technical field [0001] The invention relates to the technical field of fuzz testing, in particular to an AFL-based fuzz testing variation method and device. Background technique [0002] With the advent of the information age, all kinds of software emerge in an endless stream, but the quality of software cannot be guaranteed. How to efficiently and quickly find the loopholes in related software has become a key problem to be overcome and researched by the industry and academia. As a mainstream technology of vulnerability mining, fuzz testing has attracted much attention due to its simple use, high vulnerability mining efficiency, and strong environmental adaptability. [0003] The fuzzer AFL is an open source fuzz testing tool developed by Google security engineer Michal Zalewski in 2013. AFL is an abbreviation of American Fuzzy Lop. It has low performance consumption and can efficiently mine possible security vulnerabilities. [0004] The core technology of AFL lies in th...

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Application Information

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IPC IPC(8): G06F11/36
CPCG06F11/3684G06F11/3688
Inventor 马锐王夏菁李斌斌薛静锋田东海
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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