avast / avast-ctu-cape-datasetLinks
☆38Updated last year
Alternatives and similar repositories for avast-ctu-cape-dataset
Users that are interested in avast-ctu-cape-dataset are comparing it to the libraries listed below
Sorting:
- Automated Yara Rule generation using Biclustering☆71Updated 4 years ago
- Public datasets of malware and benign executable files (Windows EXE files). The dataset can be used by cybersecurity researchers focusing…☆24Updated 2 years ago
- This repository contains relevant samples and data related to the ELF Malware Analysis 101 articles☆48Updated 3 years ago
- AVCLASS++: Yet Another Massive Malware Labeling Tool☆14Updated 5 years ago
- ☆60Updated 4 years ago
- Community modules for CAPE Sandbox☆103Updated 3 weeks ago
- Robust Automated Malware Unpacker☆85Updated 2 years ago
- Maco - Malware config extractor framework☆39Updated last week
- Code for Benchmarking two ML Approaches performing Authorship Attribution☆39Updated 3 years ago
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆87Updated last year
- capemon: CAPE's monitor☆126Updated this week
- Security ML models encoded as Yara rules☆213Updated 2 years ago
- A curated dataset of malware and benign Windows executable samples for malware researchers☆49Updated 11 months ago
- Automatic Malware Signature Generation Tool☆16Updated 3 years ago
- Defense from the 2020 Microsoft Evasion Competition☆17Updated 4 years ago
- Python scripts for Malware Bazaar☆154Updated last year
- Automatic YARA rule generation for Malpedia☆161Updated 3 years ago
- The MinHash-based Code Relationship & Investigation Toolkit (MCRIT) is a framework created to simplify the application of the MinHash alg…☆94Updated last week
- Code for the paper "EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis"☆31Updated last year
- Malware Sandboxes & Malware Source☆101Updated 8 years ago
- Symbol hash for ELF files☆112Updated 3 years ago
- This repository contains dynamic and static tools for IoT malware analysis☆21Updated 3 years ago
- This project fully automates the process of analyzing and exploiting IoT malware to find live CnC servers.☆43Updated last year
- Parsing of YARA rules into AST and building new rulesets in C++.☆127Updated last week
- 🔍 "2015 Microsoft Malware Classification Challenge" - Using machine learning to classify malware into different families based on Window…☆29Updated last year
- YARA Language Server☆73Updated this week
- SEMA is based on angr, a symbolic execution engine used to extract API calls. Especially, we extend ANGR with strategies to create repr…☆116Updated 6 months ago
- Create adversarial attacks against machine learning Windows malware detectors☆234Updated 3 months ago
- Code for BH21 talk: "Generating YARA Rules by Classifying Malicious Byte Sequences"☆17Updated 7 months ago
- Malware datasets tagged by behavior, platform, vulnerability, and packer☆25Updated last year