Digital Forensics
Tools and methodologies for investigating digital incidents and gathering electronic evidence.
Explore 209 curated tools and resources
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A tool to quickly gather forensic artifacts from disk images or a live system into a lightweight container, aiding in digital forensic triage.
Web interface for the Volatility Memory Forensics Framework
CyLR is a Live Response Collection tool for quickly and securely collecting forensic artifacts from hosts with NTFS file systems.
Windows event log fast forensics timeline generator and threat hunting tool.
A digital artifact extraction framework for extracting data from volatile memory (RAM) samples, providing visibility into the runtime state of a system.
Collects and organizes Linux OS data for detailed analysis and incident response.
A tool for creating compact Linux memory dumps compatible with popular debugging tools.
Zenduty's platform provides real-time operational health monitoring and incident response orchestration to improve incident response times and build a solid on-call culture.
A forensic tool to find hidden processes and TCP/UDP ports by rootkits or other hidden techniques.
Open source Python library for NTFS analysis
Yara pattern matching tool for forensic investigations with predefined rules for magic headers in files and raw images.
A library to access FileVault Drive Encryption (FVDE) encrypted volumes on Mac OS X systems.
Modern digital forensics and incident response platform with comprehensive tools.
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Fabric Platform by BlackStork
Fabric Platform is a cybersecurity reporting solution that automates and standardizes report generation, offering a private-cloud platform, open-source tools, and community-supported templates.
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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.
Adversa AI
Adversa AI is a cybersecurity company that provides solutions for securing and hardening machine learning, artificial intelligence, and large language models against adversarial attacks, privacy issues, and safety incidents across various industries.