Method, device and system for optimizing test samples in fuzzy test

A technology for test cases and tests, applied in software testing/debugging, computer security devices, error detection/correction, etc., can solve problems such as poor efficiency and attacks, achieve the effect of optimizing test cases and improving vulnerability detection efficiency

Active Publication Date: 2014-04-02
SIEMENS AG
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Since software today has at least rudimentary mechanisms for checking the validity of input, overly specific "obfuscated" data that differs significantly from legitimate input will be easily detected and dis

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  • Method, device and system for optimizing test samples in fuzzy test
  • Method, device and system for optimizing test samples in fuzzy test
  • Method, device and system for optimizing test samples in fuzzy test

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Embodiment Construction

[0033] This application will be described with respect to particular embodiments and with reference to certain drawings, but the application is not limited thereto, but only by the claims. The drawings described are only schematic and not limiting. In the drawings, the size of some of the elements may be exaggerated and not drawn on scale for convenience of illustration. Where an indefinite or definite article is used when referring to a singular noun eg "a", "an" and "the", this includes a plural of that noun unless expressly stated otherwise.

[0034] In previous studies on random fuzzing, two scales were most often used to evaluate the effectiveness of a collection of test cases, one scale is the probability of detecting at least one vulnerability (called the PF scale), and the other is the expected The number of detected vulnerabilities (called the EF scale). Although these two scales are very popular, they still have many shortcomings. For example, for the EF scale, a ...

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Abstract

The invention provides a method, a device and a system for ranking test samples. The method comprises the following steps that the following steps are executed for one turn or several turns; each test samples in a plurality of test samples is used for testing a test object according to the ranging sequence of the test samples in an initial test sample set, the attacking effect of each test sample is monitored, and in addition, the priority of each test sample is determined according to the attacking effect corresponding to each test sample; the test samples in the initial test sample set are re-ordered again according to the determined priority of each test sample; the re-ordered test sample set obtained in the current turn can be used as the initial test sample set used in the execution process in the next turn.

Description

technical field [0001] The present invention generally relates to the technical field of software testing, and more specifically relates to optimizing test cases used in fuzz testing. Background technique [0002] Security testing of software (including application programs, communication software, etc.) is actually a detection in the software input space. The input space of software consists of all possible inputs to the software or combinations of all possible inputs. Exhaustive enumeration is the most extreme method to verify the correctness of software behavior. However, exhaustive enumeration is not feasible for most cases, because the input space of software programs is usually very large, and may even be infinite. [0003] Compared with the exhaustive method, fuzz testing (Fuzz Testing), as a random sample method, is a more feasible black-box testing method. Fuzz testing works by automatically providing random or semi-valid inputs (ie, test cases) to test objects (i...

Claims

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Application Information

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IPC IPC(8): G06F11/36
CPCG06F21/552G06F21/577G06F11/3688
Inventor 刘玉恒
Owner SIEMENS AG
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