109 Repositories
Python kernel-fuzzing Libraries
FirmWire is a full-system baseband firmware emulation platform for fuzzing, debugging, and root-cause analysis of smartphone baseband firmwares
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A symbolic-model-guided fuzzer for TLS
tlspuffin TLS Protocol Under FuzzINg A symbolic-model-guided fuzzer for TLS Master Thesis | Thesis Presentation | Documentation Disclaimer: The term "
codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"
Eigenlearning This repo contains code for replicating the experiments of the paper A Theory of the Inductive Bias and Generalization of Kernel Regress
Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration 🚃
This repository provides a library for efficient training of masked language models (MLM), built with fairseq. We fork fairseq to give researchers mor
Official implementation of Unfolded Deep Kernel Estimation for Blind Image Super-resolution.
Unfolded Deep Kernel Estimation for Blind Image Super-resolution Hongyi Zheng, Hongwei Yong, Lei Zhang, "Unfolded Deep Kernel Estimation for Blind Ima
Map Ookla server locations as a Kernel Density Estimation (KDE) geographic map plot.
Ookla Server KDE Plotting This notebook was created to map Ookla server locations as a Kernel Density Estimation (KDE) geographic map plot. Currently,
This program presents convolutional kernel density estimation, a method used to detect intercritical epilpetic spikes (IEDs)
Description This program presents convolutional kernel density estimation, a method used to detect intercritical epilpetic spikes (IEDs) in [Gardy et
A Python Jupyter Kernel in Slack. Just send Python code as a message.
Slack IPython bot 🤯 One Slack bot to rule them all. PyBot. Just send Python code as a message. Install pip install slack-ipython To start the bot, si
On the adaptation of recurrent neural networks for system identification
On the adaptation of recurrent neural networks for system identification This repository contains the Python code to reproduce the results of the pape
Snek-test - An operating system kernel made in python and assembly
pythonOS An operating system kernel made in python and assembly Wait what? It us
JavaScript Raider is a coverage-guided JavaScript fuzzing framework designed for the v8 JavaScript engine
JavaScript Raider is a coverage-guided JavaScript fuzzing framework designed for the v8 JavaScript engine
TheTimeMachine - Weaponizing WaybackUrls for Recon, BugBounties , OSINT, Sensitive Endpoints and what not
The Time Machine - Weaponizing WaybackUrls for Recon, BugBounties , OSINT, Sensi
Fuzzware is a project for automated, self-configuring fuzzing of firmware images
Fuzzware Fuzzware is a project for automated, self-configuring fuzzing of firmware images. The idea of this project is to configure the memory ranges
Proof of concept of CVE-2022-21907 Double Free in http.sys driver, triggering a kernel crash on IIS servers
CVE-2022-21907 - Double Free in http.sys driver Summary An unauthenticated attacker can send an HTTP request with an "Accept-Encoding" HTTP request he
Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)
Time-aware Large Kernel (TaLK) Convolutions (Lioutas et al., 2020) This repository contains the source code, pre-trained models, as well as instructio
Tzer: TVM Implementation of "Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation (OOPSLA'22)“.
Artifact • Reproduce Bugs • Quick Start • Installation • Extend Tzer Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation This is the s
A Haskell kernel for IPython.
IHaskell You can now try IHaskell directly in your browser at CoCalc or mybinder.org. Alternatively, watch a talk and demo showing off IHaskell featur
🎃 Core identification module of AI powerful point reading system platform.
ppReader-Kernel Intro Core identification module of AI powerful point reading system platform. Usage 硬件: Windows10、GPU:nvdia GTX 1060 、普通RBG相机 软件: con
ClusterFuzz is a scalable fuzzing infrastructure that finds security and stability issues in software.
ClusterFuzz ClusterFuzz is a scalable fuzzing infrastructure that finds security and stability issues in software. Google uses ClusterFuzz to fuzz all
An analysis tool for Python that blurs the line between testing and type systems.
CrossHair An analysis tool for Python that blurs the line between testing and type systems. THE LATEST NEWS: Check out the new crosshair cover command
Awesome Graph Classification - A collection of important graph embedding, classification and representation learning papers with implementations.
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers
Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
Semi-supervised Deep Kernel Learning This is the code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data
A Bot to Track Kernel Upstreams from kernel.org and Post it on Telegram Channel
Channel Kernel Tracker is the channel where the bot will be sending the updates in. Introduction This is a Telegram Bot to Track Kernel Upstreams kern
pythonOS: An operating system kernel made in python and assembly
pythonOS An operating system kernel made in python and assembly Wait what? It uses a custom compiler called snek that implements a part of python3.9 (
Python Jupyter kernel using Poetry for reproducible notebooks
Poetry Kernel Use per-directory Poetry environments to run Jupyter kernels. No need to install a Jupyter kernel per Python virtual environment! The id
open detection and scanning tool for discovering and fuzzing for Log4J RCE CVE-2021-44228 vulnerability
CVE-2021-44228-log4jVulnScanner-metasploit open detection and scanning tool for discovering and fuzzing for Log4J RCE CVE-2021-44228 vulnerability pre
Hypothesis strategies for generating Python programs, something like CSmith
hypothesmith Hypothesis strategies for generating Python programs, something like CSmith. This is definitely pre-alpha, but if you want to play with i
nettrace is a powerful tool to trace network packet and diagnose network problem inside kernel.
nettrace nettrace is is a powerful tool to trace network packet and diagnose network problem inside kernel on TencentOS. It make use of eBPF and BCC.
FFPuppet is a Python module that automates browser process related tasks to aid in fuzzing
FFPuppet FFPuppet is a Python module that automates browser process related tasks to aid in fuzzing. Happy bug hunting! Are you fuzzing the browser? G
Fastshap: A fast, approximate shap kernel
fastshap: A fast, approximate shap kernel fastshap was designed to be: Fast Calculating shap values can take an extremely long time. fastshap utilizes
The source code for Adaptive Kernel Graph Neural Network at AAAI2022
AKGNN The source code for Adaptive Kernel Graph Neural Network at AAAI2022. Please cite our paper if you think our work is helpful to you: @inproceedi
Generate a wordlist to fuzz amounts or any other numerical values.
Generate a wordlist to fuzz amounts or any other numerical values. Based on Common Security Issues in Financially-Oriented Web Applications.
An echo kernel for JupyterLite
jupyterlite-echo-kernel An echo kernel for JupyterLite. Requirements JupyterLite = 0.1.0a10 Install To install the extension, execute: pip install ju
IDA Pro Python plugin to analyze and annotate Linux kernel alternatives
About This is an IDA Pro (Interactive Disassembler) plugin allowing to automatically analyze and annotate Linux kernel alternatives (content of .altin
Self-Supervised Learning with Kernel Dependence Maximization
Self-Supervised Learning with Kernel Dependence Maximization This is the code for SSL-HSIC, a self-supervised learning loss proposed in the paper Self
Python tool for enumerating directories and for fuzzing
Python tool for enumerating directories and for fuzzing
Code base for NeurIPS 2021 publication titled Kernel Functional Optimisation (KFO)
KernelFunctionalOptimisation Code base for NeurIPS 2021 publication titled Kernel Functional Optimisation (KFO) We have conducted all our experiments
A iot Bike sytem based on RaspberryPi, Ardiuino
Cyclic 's Kernel ---- A iot Bike sytem based on RaspberryPi, Ardiuino, etc 0x1 What is This? Cyclic 's Kernel is an independent System With self-produ
A benchmark for stateful fuzzing of network protocols
A benchmark for stateful fuzzing of network protocols
Accompanying code for the paper "A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment".
#backdoor-HSIC (bd_HSIC) Accompanying code for the paper "A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment". To generate
Kernel Point Convolutions
Created by Hugues THOMAS Introduction Update 27/04/2020: New PyTorch implementation available. With SemanticKitti, and Windows supported. This reposit
Paper: Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identification
Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identification T M Feroz Ali, Subhasis Chaudhuri, ICVGIP-20-21
Blinder is a tool that will help you simplify the exploitation of blind SQL injection
Blinder Have you found a blind SQL injection? Great! Now you need to export it, but are you too lazy to sort through the values? Most likely,
Machine Learning Framework for Operating Systems - Brings ML to Linux kernel
KML: A Machine Learning Framework for Operating Systems & Storage Systems Storage systems and their OS components are designed to accommodate a wide v
Lightweight and Modern kernel for VK Bots
This is the kernel for creating VK Bots written in Python 3.9
Learning kernels to maximize the power of MMD tests
Code for the paper "Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy" (arXiv:1611.04488; published at ICLR 2017), by Douga
Nyx-Net: Network Fuzzing with Incremental Snapshots
Nyx-Net: Network Fuzzing with Incremental Snapshots Nyx-Net is fast full-VM snapshot fuzzer for complex network based targets. It's built upon kAFL, R
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
ROCKET + MINIROCKET ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels. Data Mining and Knowledge D
Data and code for the paper "Importance of Kernel Bandwidth in Quantum Machine Learning"
Reproducibility materials for "Importance of Kernel Bandwidth in Quantum Machine Learning" Repo structure: code contains Python scripts used to genera
Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel
Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel This repository is the official PyTorch implementation of BSRDM w
Code for our EMNLP 2021 paper "Learning Kernel-Smoothed Machine Translation with Retrieved Examples"
KSTER Code for our EMNLP 2021 paper "Learning Kernel-Smoothed Machine Translation with Retrieved Examples" [paper]. Usage Download the processed datas
Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data based on Pytorch Framework
VFedPCA+VFedAKPCA This is the official source code for the Paper: Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)
Skyformer This repository is the official implementation of Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr"om Method (NeurIPS 2021).
Public implementation of the Convolutional Motif Kernel Network (CMKN) architecture
CMKN Implementation of the convolutional motif kernel network (CMKN) introduced in Ditz et al., "Convolutional Motif Kernel Network", 2021. Testing Yo
A python tool capable of creating HUGE wordlists. Has the ability to add custom words for concatenation in any way you see fit.
A python tool capable of creating HUGE wordlists. Has the ability to add custom words for concatenation in any way you see fit.
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)
Skyformer This repository is the official implementation of Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr"om Method (NeurIPS 2021).
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily Abstract Graph Neural Networks (GNNs) are widely used on a
Simple tool, to update linux kernel on ubuntu
Kerbswap Simple tool, to update linux kernel on ubuntu Information At the moment, this tool only supports "Ubuntu" distributions, but will be expanded
Driver Buddy Reloaded is an IDA Pro Python plugin that helps automate some tedious Windows Kernel Drivers reverse engineering tasks.
Driver Buddy Reloaded Quickstart Table of Contents Installation Usage About Driver Buddy Reloaded Finding DispatchDeviceControl Labelling WDM & WDF St
This is the fuzzer I made to fuzz Preview on macOS and iOS like 8years back when I just started fuzzing things.
Fuzzing PDFs like its 1990s This is the fuzzer I made to fuzz Preview on macOS and iOS like 8years back when I just started fuzzing things. Some discl
cairo_kernel is a simple Jupyter kernel for Cairo a smart contract programing language for STARKs.
cairo_kernel cairo_kernel is a simple Jupyter kernel for Cairo a smart contract programing language for STARKs. Installation Install virtualenv virtua
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes This repository contains the source code accompanying the paper: FlexConv: C
boofuzz: Network Protocol Fuzzing for Humans
boofuzz: Network Protocol Fuzzing for Humans Boofuzz is a fork of and the successor to the venerable Sulley fuzzing framework. Besides numerous bug fi
Sound and Cost-effective Fuzzing of Stripped Binaries by Incremental and Stochastic Rewriting
StochFuzz: A New Solution for Binary-only Fuzzing StochFuzz is a (probabilistically) sound and cost-effective fuzzing technique for stripped binaries.
AFL binary instrumentation
E9AFL --- Binary AFL E9AFL inserts American Fuzzy Lop (AFL) instrumentation into x86_64 Linux binaries. This allows binaries to be fuzzed without the
A library for performing coverage guided fuzzing of neural networks
TensorFuzz: Coverage Guided Fuzzing for Neural Networks This repository contains a library for performing coverage guided fuzzing of neural networks,
[ICSE2020] MemLock: Memory Usage Guided Fuzzing
MemLock: Memory Usage Guided Fuzzing This repository provides the tool and the evaluation subjects for the paper "MemLock: Memory Usage Guided Fuzzing
Directed Greybox Fuzzing with AFL
AFLGo: Directed Greybox Fuzzing AFLGo is an extension of American Fuzzy Lop (AFL). Given a set of target locations (e.g., folder/file.c:582), AFLGo ge
Ankou: Guiding Grey-box Fuzzing towards Combinatorial Difference
Ankou Ankou is a source-based grey-box fuzzer. It intends to use a more rich fitness function by going beyond simple branch coverage and considering t
ParmeSan: Sanitizer-guided Greybox Fuzzing
ParmeSan: Sanitizer-guided Greybox Fuzzing ParmeSan is a sanitizer-guided greybox fuzzer based on Angora. Published Work USENIX Security 2020: ParmeSa
Fuzzing JavaScript Engines with Aspect-preserving Mutation
DIE Repository for "Fuzzing JavaScript Engines with Aspect-preserving Mutation" (in S&P'20). You can check the paper for technical details. Environmen
PolyGlot, a fuzzing framework for language processors
PolyGlot, a fuzzing framework for language processors Build We tested PolyGlot on Ubuntu 18.04. Get the source code: git clone https://github.com/s3te
Fuzzing tool (TFuzz): a fuzzing tool based on program transformation
T-Fuzz T-Fuzz consists of 2 components: Fuzzing tool (TFuzz): a fuzzing tool based on program transformation Crash Analyzer (CrashAnalyzer): a tool th
Angora is a mutation-based fuzzer. The main goal of Angora is to increase branch coverage by solving path constraints without symbolic execution.
Angora Angora is a mutation-based coverage guided fuzzer. The main goal of Angora is to increase branch coverage by solving path constraints without s
QSYM: A Practical Concolic Execution Engine Tailored for Hybrid Fuzzing
QSYM: A Practical Concolic Execution Engine Tailored for Hybrid Fuzzing Environment Tested on Ubuntu 14.04 64bit and 16.04 64bit Installation # disabl
Inferred Model-based Fuzzer
IMF: Inferred Model-based Fuzzer IMF is a kernel API fuzzer that leverages an automated API model inferrence techinque proposed in our paper at CCS. I
Fuzzer for Linux Kernel Drivers
difuze: Fuzzer for Linux Kernel Drivers This repo contains all the sources (including setup scripts), you need to get difuze up and running. Tested on
Code for the USENIX 2017 paper: kAFL: Hardware-Assisted Feedback Fuzzing for OS Kernels
kAFL: Hardware-Assisted Feedback Fuzzing for OS Kernels Blazing fast x86-64 VM kernel fuzzing framework with performant VM reloads for Linux, MacOS an
Repo for FUZE project. I will also publish some Linux kernel LPE exploits for various real world kernel vulnerabilities here. the samples are uploaded for education purposes for red and blue teams.
Linux_kernel_exploits Some Linux kernel exploits for various real world kernel vulnerabilities here. More exploits are yet to come. This repo contains
A Kernel fuzzer focusing on race bugs
Razzer: Finding kernel race bugs through fuzzing Environment setup $ source scripts/envsetup.sh scripts/envsetup.sh sets up necessary environment var
Fuzzing the Kernel Using Unicornafl and AFL++
Unicorefuzz Fuzzing the Kernel using UnicornAFL and AFL++. For details, skim through the WOOT paper or watch this talk at CCCamp19. Is it any good? ye
Hydra: an Extensible Fuzzing Framework for Finding Semantic Bugs in File Systems
Hydra: An Extensible Fuzzing Framework for Finding Semantic Bugs in File Systems Paper Finding Semantic Bugs in File Systems with an Extensible Fuzzin
Fuzzification helps developers protect the released, binary-only software from attackers who are capable of applying state-of-the-art fuzzing techniques
About Fuzzification Fuzzification helps developers protect the released, binary-only software from attackers who are capable of applying state-of-the-
AntiFuzz: Impeding Fuzzing Audits of Binary Executables
AntiFuzz: Impeding Fuzzing Audits of Binary Executables Get the paper here: https://www.usenix.org/system/files/sec19-guler.pdf Usage: The python scri
A fuzzing framework for SMT solvers
yinyang A fuzzing framework for SMT solvers. Given a set of seed SMT formulas, yinyang generates mutant formulas to stress-test SMT solvers. yinyang c
Emulation and Feedback Fuzzing of Firmware with Memory Sanitization
BaseSAFE This repository contains the BaseSAFE Rust APIs, introduced by "BaseSAFE: Baseband SAnitized Fuzzing through Emulation". The example/ directo
ProFuzzBench - A Benchmark for Stateful Protocol Fuzzing
ProFuzzBench - A Benchmark for Stateful Protocol Fuzzing ProFuzzBench is a benchmark for stateful fuzzing of network protocols. It includes a suite of
InsTrim: Lightweight Instrumentation for Coverage-guided Fuzzing
InsTrim The paper: InsTrim: Lightweight Instrumentation for Coverage-guided Fuzzing Build Prerequisite llvm-8.0-dev clang-8.0 cmake = 3.2 Make git cl
Differential fuzzing for the masses!
NEZHA NEZHA is an efficient and domain-independent differential fuzzer developed at Columbia University. NEZHA exploits the behavioral asymmetries bet
The code for the NSDI'21 paper "BMC: Accelerating Memcached using Safe In-kernel Caching and Pre-stack Processing".
BMC The code for the NSDI'21 paper "BMC: Accelerating Memcached using Safe In-kernel Caching and Pre-stack Processing". BibTex entry available here. B
Keval allows you to call arbitrary Windows kernel-mode functions from user mode, even (and primarily) on another machine.
Keval Keval allows you to call arbitrary Windows kernel-mode functions from user mode, even (and primarily) on another machine. The user mode portion
[ICCV 2021] Official Tensorflow Implementation for "Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions"
KPAC: Kernel-Sharing Parallel Atrous Convolutional block This repository contains the official Tensorflow implementation of the following paper: Singl
vFuzzer is a tool developed for fuzzing buffer overflows, For now, It can be used for fuzzing plain vanilla stack based buffer overflows
vFuzzer vFuzzer is a tool developed for fuzzing buffer overflows, For now, It can be used for fuzzing plain vanilla stack based buffer overflows, The
Demonstrates how to divide a DL model into multiple IR model files (division) and introduce a simplest way to implement a custom layer works with OpenVINO IR models.
Demonstration of OpenVINO techniques - Model-division and a simplest-way to support custom layers Description: Model Optimizer in Intel(r) OpenVINO(tm
Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)
Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021) This repository is the official PyTorc
A curated list of resources for Image and Video Deblurring
A curated list of resources for Image and Video Deblurring
tinykernel - A minimal Python kernel so you can run Python in your Python
tinykernel - A minimal Python kernel so you can run Python in your Python
Exploring Image Deblurring via Blur Kernel Space (CVPR'21)
Exploring Image Deblurring via Encoded Blur Kernel Space About the project We introduce a method to encode the blur operators of an arbitrary dataset
RESTler is the first stateful REST API fuzzing tool for automatically testing cloud services through their REST APIs and finding security and reliability bugs in these services.
RESTler is the first stateful REST API fuzzing tool for automatically testing cloud services through their REST APIs and finding security and reliability bugs in these services.
A tool that automatically creates fuzzing harnesses based on a library
AutoHarness is a tool that automatically generates fuzzing harnesses for you. This idea stems from a concurrent problem in fuzzing codebases today: large codebases have thousands of functions and pieces of code that can be embedded fairly deep into the library. It is very hard or sometimes even impossible for smart fuzzers to reach that codepath. Even for large fuzzing projects such as oss-fuzz, there are still parts of the codebase that are not covered in fuzzing. Hence, this program tries to alleviate this problem in some capacity as well as provide a tool that security researchers can use to initially test a code base. This program only supports code bases which are coded in C and C++.