binaryalert

Malware scanner

Real-time malware detection and alert system for AWS S3 files

BinaryAlert: Serverless, Real-time & Retroactive Malware Detection.

GitHub

1k stars
73 watching
187 forks
Language: Python
last commit: 11 months ago
Linked from 4 awesome lists

awslambdamalware-detectionsecurityserverlessterraformyara

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
airbnb/streamalert An automated log analysis and alerting system for real-time threat detection and incident response. 2,861
airbus-cert/dnyara A .Net wrapper library for the native Yara library to quickly identify and classify malware samples. 38
abhinavbom/clara Scans S3 buckets for malware using ClamAV and Yara signatures in real-time 32
neo23x0/rules A centralized repository of Yara rules for detecting malware and other malicious activities. 10
maaaaz/androwarn Analyze Android app malice and detect malicious behaviors 484
cert-ee/cuckoo3 Automated malware analysis tool that tests suspicious files or links in a sandboxed environment 639
stellarbear/yarasharp A C# wrapper around the Yara pattern matching library for detecting malware and analyzing binaries 36
hestat/lw-yara A Yara ruleset and scanner tool for detecting webserver malware on Linux servers. 102
13o-bbr-bbq/machine_learning_security This project explores the intersection of machine learning and security, focusing on developing tools and techniques to improve vulnerability detection and penetration testing in web applications. 1,979
nbeede/boombox A tool for creating and deploying a virtual malware analysis environment using Cuckoo Sandbox and Windows 10. 234
dissectmalware/yaradbg-frontend A web application for analyzing Yara rules and inspecting malware files 37
darryllane/bluto Tools for gathering information about and exploiting vulnerabilities in domains 619
kevthehermit/yararules A collection of Yara rules for detecting malware and other malicious patterns 52
h3x2b/yara-rules Rules and patterns used to identify malicious software 23
bfilar/malware_rl Enabling research into malware bypass using reinforcement learning environments 102