urwithajit9

urwithajit9's Stars

• FallibleInc/security-guide-for-developers

  Security Guide for Developers (实用性开发人员安全须知)

  20.9k1.1k01.6k

• vxunderground/MalwareSourceCode

  Collection of malware source code for a variety of platforms in an array of different programming languages.

  Language:Assembly15.9k734651.8k

• dask/dask

  Parallel computing with task scheduling

  Language:Python12.6k2135.2k1.7k

• SeldonIO/alibi

  Algorithms for explaining machine learning models

  Language:Python2.4k57363252

• Endermanch/MalwareDatabase

  One of a few malware collections on the GitHub.

  Language:Python2.4k111281540

• salesforce/jarm

  Language:Python1.2k2710143

• corkami/mitra

  A generator of weird files (binary polyglots, near polyglots, polymocks...)

  Language:Python1.1k261577

• mitre/advmlthreatmatrix

  Adversarial Threat Landscape for AI Systems

  1.1k1074103

• Stream-AD/MIDAS

  Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

  Language:C++762301893

• sophos/SOREL-20M

  Sophos-ReversingLabs 20 million sample dataset

  Language:Python6383223132

• jstrosch/learning-malware-analysis

  This repository contains sample programs that mimick behavior found in real-world malware. The goal is to provide source code that can be compiled and used for learning purposes, without having to worry about handling live malware.

  Language:C60519173

• MBCProject/mbc-markdown

  MBC content in markdown

  375242545

• Neo23x0/BlueLedger

  A list of my personal projects

  1671609

• cocaman/malware-bazaar

  Python scripts for Malware Bazaar

  Language:Python14613442

• jordan-wright/ossmalware

  Language:Go93895

• AdamGreenhill/VirusShare-Search

  Downloads VirusShare hashes (https://virusshare.com/hashes.4n6) and searches them for specified MD5 hashes

  Language:Python707714

• Arun152k/Malware-Detection-using-N-Gram-Frequency

  An attempt to detect malware using Opcodes and Hexadecimal Instructions.

  Language:Python30104

• cocaman/analysis_scripts

  Collection of scripts used to analyse malware or emails

  Language:Python19413

• fabriciojoc/malware-machinelearning

  Malware - Machine Learning

  Language:Python92011

• Tina-Rezaei/A-learning-model-to-detect-maliciousness-of-portable-executable-using-integrated-feature-set

  Language:Python70

• hayesall/MaliciousPortableExecutableDetection

  Determining whether a portable executable file (.exe) is malicious or benign with comparative results for multiple ML algorithms: AdaBoost, DT, GNB, GradientBoosting, KNN, RF.

  Language:Python6100

• hweecat/api_scraping_nea_datasets

  Scraping Meteorological Data from Data.gov.sg APIs

  Language:Python5201

• korniichuk/workflow

  Workflow management platforms comparison

  Language:Python4302

• marcusbotacin/malware-data

  Malware Samples and Analysis Logs

  430

• AviusX/bulk-binary-downloader

  Downloads binaries in bulk using Selenium from en.freedownloadmanager.org

  Language:Python3200

• andrewJYjang/learningtogether

  Language:C++1

• ashalaginov/CMATLiS

  Testing laboratory created for the purpose of behavioural dynamic automated analysis of Android APK (malware and goodware files)

  Language:PHP1201

• ashalaginov/Windows-PE32-malware-dynamic-analysis

  A set of scripts for automated dynamic MS Windows PE32 malware analysis using sandbox virtual environemnt

  Language:PHP1202

• Tina-Rezaei/Malware-Detection-1

  Deep Learning Based Android Malware Detection Framework

  Language:Python10

• urwithajit9/SOREL-20M

  Sophos-ReversingLabs 20 million sample dataset

  Language:Python110