A fuzzy testing framework based on AFL

The invention discloses a fuzzy test framework based on AFL, which comprises a test case preprocessing module and an AFL processing module. In the AFL processing module, the test case selection sub-module sequentially selects the next test case to be mutated from the test case queue; before selection, according to the historical variation of test cases, those test cases with greater probability tofind new paths are identified as privileged test cases, and are selected as test cases to be mutated first. The test case mutation quantity determining sub-module adjusts the energy allocated to eachtest case according to the historical mutation of the test case, and then adjusts the mutation quantity of the test case to be mutated. The test case mutation sub-module determines the mutation byteaccording to the valid byte in the test case. The mutation is then performed according to the number of mutations and the mutation bytes. The invention solves the blindness problem of the current AFLtool in the test case genera