Malware Analysis for Machine Learning
Tools and techniques for analyzing, reverse-engineering, and understanding malicious software. Task: Machine Learning
Explore 6 curated tools and resources
RELATED TASKS
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InfoSecHired
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
Commercial
Resources
Checkmarx SCA
A software composition analysis tool that identifies vulnerabilities, malicious code, and license risks in open source dependencies throughout the software development lifecycle.
Commercial
Application Security
Check Point CloudGuard WAF
A cloud-native web application and API security solution that uses contextual AI to protect against known and zero-day threats without signature-based detection.
Commercial
Application Security
Orca Security
A cloud-native application protection platform that provides agentless security monitoring, vulnerability management, and compliance capabilities across multi-cloud environments.
Commercial
Cloud Security
DryRun
A GitHub application that performs automated security code reviews by analyzing contextual security aspects of code changes during pull requests.
Commercial
Application Security
Wiz
Wiz Cloud Security Platform is a cloud-native security platform that enables security, dev, and devops to work together in a self-service model, detecting and preventing cloud security threats in real-time.
Commercial
Cloud Security
LATEST ADDITIONS
A cutting-edge AI-based IT security platform that identifies malware and cyber-attacks within seconds
A tool that recovers passwords from pixelized screenshots
A project providing open-source YARA rules for malware and malicious file detection
A tool that generates Yara rules from training data using logistic regression and random forest classifiers.
Java code implementing the AutoYara algorithm for automatic Yara rule generation from input samples.
Automatic analysis of malware behavior using machine learning.