Alternatives and similar repositories for MalDICT

Users that are interested in MalDICT are comparing it to the libraries listed below

• FutureComputing4AI / MalConv2
  Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
  ☆70Updated 4 years ago
• pralab / secml_malware
  Create adversarial attacks against machine learning Windows malware detectors
  ☆234Updated 3 months ago
• FutureComputing4AI / AutoYara
  Automated Yara Rule generation using Biclustering
  ☆71Updated 4 years ago
• ucsb-seclab / packware
  Effects of packers on machine-learning-based malware classifiers that use only static analysis
  ☆87Updated last year
• bfilar / malware_rl
  Malware Bypass Research using Reinforcement Learning
  ☆106Updated last year
• FutureComputing4AI / ClarAVy
  ☆36Updated 3 months ago
• whyisyoung / BODMAS
  Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon …
  ☆85Updated last year
• avast / avast-ctu-cape-dataset
  ☆38Updated last year
• iosifache / DikeDataset
  Dataset with labeled benign and malicious files 🗃️
  ☆133Updated 2 years ago
• danielgibert / pe_parser
  ☆10Updated 3 years ago
• endgameinc / malware_evasion_competition
  ☆79Updated 5 years ago
• dtrizna / nebula
  Transformer Neural Network from Dynamic Malware Detection
  ☆35Updated last year
• dtrizna / quo.vadis
  Hybrid Machine Learning Model for Malware Detection based on Windows Kernel Emulation
  ☆41Updated 2 years ago
• pralab / toucanstrike
  Command line tool for launching attacks against Machine Learning Malware detectors.
  ☆18Updated 2 years ago
• pratikpv / malware_detect2
  Malware Classification using Machine learning
  ☆72Updated 10 months ago
• boozallen / MOTIF
  ☆154Updated 2 years ago
• pwwl / enhanced-binary-diversification
  Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"
  ☆54Updated last year
• bormaa / Benign-NET
  Benign .NET files
  ☆36Updated last year
• CyberScienceLab / Our-Datasets
  ☆37Updated last year
• sophos / yaraml_rules
  Security ML models encoded as Yara rules
  ☆213Updated 2 years ago
• Azure / 2020-machine-learning-security-evasion-competition
  2020 Machine Learning Security Evasion Competition
  ☆49Updated 5 years ago
• CyFI-Lab-Public / Forecast
  Forecasting Malware Capabilities From Cyber Attack Memory Images
  ☆33Updated 2 years ago
• mbrengel / yarix
  ☆60Updated 4 years ago
• mpasco / MalbehavD-V1
  Public datasets of malware and benign executable files (Windows EXE files). The dataset can be used by cybersecurity researchers focusing…
  ☆23Updated 2 years ago
• jaketae / deep-malware-detection
  A neural approach to malware detection in portable executables
  ☆79Updated 2 years ago
• eurecom-s3 / tangled_iot
  The Tangled Genealogy of IoT Malware
  ☆12Updated 4 years ago
• evandowning / deepreflect
  Discovering Malicious Functionality through Binary Reconstruction
  ☆58Updated 4 years ago
• czs108 / Microsoft-Malware-Classification
  🔍 "2015 Microsoft Malware Classification Challenge" - Using machine learning to classify malware into different families based on Window…
  ☆29Updated last year
• aptresearch / datasets
  ☆25Updated 4 years ago
• EQuiw / 2020-evasion-competition
  Defense from the 2020 Microsoft Evasion Competition
  ☆17Updated 4 years ago