fettay / DeePDF

Related projects ⓘ

Alternatives and complementary repositories for DeePDF

• kartik2309 / Malicious_pdf_detection
  This project aims to detect if a pdf file is clean or malicious using Machine Leaning Techniques
  ☆18Updated 2 years ago
• Aurore54F / syntactic-jsdetector
  (AST-based + variables' name info) malicious JavaScript detection system, concept from Zozzle
  ☆16Updated 5 years ago
• PowerLZY / MalGAN
  主题为”基于GAN的恶意软件对抗样本生成“。首先介绍了恶意软件发展现状，引出基于模式匹配、特征空间和问题空间三种方式去检测恶意软件。然后介绍了如何生成对抗样本攻击恶意软件检测器，详细介绍了基于GAN的恶意软件对抗样本的MalGAN框架，并对实验结果进行了对比。最后总结了结构…
  ☆31Updated 3 years ago
• xvshiting / MFC-CNN
  A malware family classification model based on CNN
  ☆23Updated 2 years ago
• evandowning / deepreflect
  Discovering Malicious Functionality through Binary Reconstruction
  ☆51Updated 3 years ago
• shreyansh26 / ELF-Miner
  An implementation of the paper "ELF-Miner: Using Structural Knowledge and Data Mining Methods To Detect New (Linux) Malicious Executables…
  ☆13Updated 5 years ago
• yuxiaorun / MalConv-Adversarial
  Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf
  ☆17Updated 6 years ago
• danielgibert / mlw_classification_hydra
  ☆27Updated 4 years ago
• DroidEvolver / DroidEvolver
  ☆21Updated 4 years ago
• csmutz / pdfrate
  ☆11Updated 2 months ago
• ucsb-seclab / Neurlux
  Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering
  ☆12Updated 3 years ago
• annamalai-nr / csbd
  The repository contains the python implementation of the Android Malware Detection paper: "Empirical assessment of machine learning-based…
  ☆24Updated 7 years ago
• IanWE / mamadroid
  revised
  ☆20Updated 4 years ago
• ALFA-group / robust-adv-malware-detection
  [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…
  ☆102Updated 3 months ago
• pwwl / enhanced-binary-diversification
  Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"
  ☆47Updated 5 months ago
• kericwy1337 / Datacon2019-Malicious-Code-DataSet-Stage2
  ☆11Updated 5 years ago
• Bowen-n / MCBG
  Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)
  ☆18Updated 2 years ago
• j40903272 / MalConv-keras
  This is the implementation of MalConv proposed in [Malware Detection by Eating a Whole EXE](https://arxiv.org/abs/1710.09435) and its adv…
  ☆81Updated 6 years ago
• pratikpv / malware_classification
  Transfer Learning for Image-Based Malware Classification
  ☆47Updated 2 years ago
• friendllcc / Malware-Detection-API-Sequence-Intrinsic-Features
  ☆27Updated 2 years ago
• CyberScienceLab / Our-Datasets
  ☆33Updated 3 months ago
• riak16 / Malware-Detection-using-Deep-Learning
  Firstly, we generate images from benign and malware executable files. Secondly, by using deep learning, we train a model to detect malwar…
  ☆73Updated 5 years ago
• annamalai-nr / drebin
  Drebin - NDSS 2014 Re-implementation
  ☆103Updated 6 years ago
• fabriciojoc / brazilian-malware-dataset
  Dataset containing thousands of malware and goodware collected in the Brazilian cyberspace over years.
  ☆18Updated 3 years ago
• FutureComputing4AI / MalConv2
  Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
  ☆59Updated 3 years ago
• xjtu1025 / FalDroid
  ☆9Updated 7 years ago
• MHunt-er / Benchmarking-Malware-Family-Classification
  ☆14Updated 3 years ago
• danielgibert / pe_parser
  ☆10Updated 2 years ago
• ManSoSec / Microsoft-Malware-Challenge
  ☆47Updated 8 years ago
• lzylucy / Malware-GAN-attack
  We implement MalGAN to attack several PDF classifiers and evaluate the robustness of those models.
  ☆23Updated 2 years ago