实验: In 24 hours, AFLFast exposes 3 previously unreported CVEs that are not exposed by AFL and exposes 6 previously unreported CVEs 7x faster than AFL. AFLFast produces at least an order of magnitude more unique crashes than AFL. https://github.com/mboehme/aflfast...
方法: 它将多连接信息multiple-connection information嵌入到单个输入中 它使用消息变异算法来刺激协议状态转换,而不需要协议规范 使用一个新的 desockmulti 模块将网络消息馈送到被测程序中。desockmulti 类似于社区广泛使用的工具 desock (Preeny),但它是专为 fuzzing 而设计的,速度提高了 10 倍 实验: 数据集:Ec...
Before getting into how we use code coverage for fuzzing, I should briefly define the terms. If you are well versed in these concepts, feel free to skip to “Using Coverage for Better Fuzzing.” Code coverage is a measure of how well a set of code is exercised based on a set of test...
Welcome to the third part of our blog post series on UEFI security, fuzzing, and exploitation. InPart Oneof the series, we merely reviewed existing tools and techniques to dump SPI flash memory to disk and extract the binaries which make up a UEFI firmware. InPart Two, we...
control flow using Intel Processor Trace (IPT) technology. Previously, IPT has been scrutinized for severe underperformance due to issues with capture systems and inefficient trace analyses. My winter internship focused on working through these challenges to make IPT-based fuzzi...
Also, although many kernel fuzzers like Syzkaller apply QEMU-based fuzzing, deploying OSes, especially embedded OSes that supporting dozens of architectures on emulators, there may be certain hardware emulation like peripheral devices that is not supported on some architectures. In this case, QEMU ...
Supports several (more than any other coverage-based feedback-driven fuzzer) hardware-based (CPU: branch/instruction counting, Intel BTS, Intel PT) and software-based feedback-driven fuzzing modes. Also, see the new qemu mode for blackbox binary fuzzing. Works (at least) under GNU/Linux, Fr...
Algorithm 1: Generation-Based Fuzzing Input: G: input model specified by format specification Input: P: program under test Output: C : seeds that crash or hang the program P 1 C ← ∅ 2 SM = EXTRACTDATAMODEL(G) // Data Model Set 3 while true do 4 M ← CHOOSE(SM) 5 Chunks ...
Abstract 本文:CocoFuzzing Task: test ML Models, test code processing models 方法:10 mutators to automatically generate validly and semantically preserving source code test cases + neuron coverage-based 实验: 对象:NeuralCodeSum, Code2Seq, Code2Vec ...
Github:https://github.com/maybeLee/COMET Bug Type: Crash, NaN, inconsistency between the TensorFlow library and the ONNXRuntime library Task: fuzzing API of DL Libraries Method: designs a set of mutation operators and a coverage-based search algorithm to diversify layer inputs, layer parameter...