CyLR

Forensic collector

A tool that collects and preserves forensic artifacts from NTFS file systems without impacting the host system.

CyLR - Live Response Collection Tool

GitHub

645 stars
32 watching
88 forks
Language: C#
last commit: over 2 years ago
Linked from 3 awesome lists


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
orlikoski/cdqr A tool for analyzing forensic data from various devices and platforms 334
ownsecurity/fastir_artifacts A tool for collecting forensic artifacts from live hosts across multiple operating systems. 160
op7ic/unix_collector A tool for collecting forensic data from various UNIX-like systems 32
sekoialab/fastir_collector A tool for collecting and analyzing Windows system artefacts on live systems 506
orlikoski/skadi A comprehensive collection of tools and platforms for digital forensics, threat analysis, and incident response 491
forensicanalysis/artifactcollector A tool to extract forensic artifacts from various operating systems 270
omenscan/achoirx A Go-based forensic collection and analysis tool designed for cross-platform use. 35
omenscan/achoir A scripting framework to simplify the process of gathering forensic artifacts from Windows devices. 183
vitaly-kamluk/bitscout A customizable tool for creating bootable disk images for remote system analysis and forensic investigations. 462
msuhanov/dfir_ntfs A digital forensics tool for parsing and analyzing NTFS/FAT file systems. 191
securityjoes/forensicminer Automates evidence collection and analysis from Windows machines using PowerShell. 148
abdulrhmanalfaifi/fennec Tool for collecting artifacts from *nix systems during incident response 192
nccgroup/scrying A tool for collecting screenshots of remote desktops and web applications in one place 451
awslabs/flowgger A fast data collector written in Rust to process log entries from various protocols and formats. 834
sekoialab/fastir_collector_linux A tool for gathering and recording information from live Linux systems for forensic analysis 173