How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
The main features of crowdstrike/automactc are: Forensics and Incident Response, Incident Response Frameworks.
Projects with overlapping indexed features include: jpcertcc/logontracer — LogonTracer is a security auditing tool designed for logon analysis and forensic log auditing. It functions as a… davehull/kansa — A Powershell incident response framework. cyb3rward0g/helk — HELK is a containerized security information and event management environment and threat hunting platform. It provides… velocidex/velociraptor — Velociraptor is a digital forensics and incident response platform, endpoint detection and response system, and… activecm/beaker — Beacon Kibana Executable Report. Aggregates Sysmon Network Events With Elasticsearch and Kibana. 3coresec/automata — Automatic detection engineering technical state compliance.
LogonTracer is a security auditing tool designed for logon analysis and forensic log auditing. It functions as a dockerized security auditor that utilizes a security event graph database to map account names and network addresses, allowing for the visualization of complex system compromise patterns and authentication paths. The system features a Sigma detection engine that scans imported event logs against standardized rule sets to identify known malicious activity. It also includes an anomalous behavior detector that applies statistical analysis, graph algorithms, and hidden Markov models to
HELK is a containerized security information and event management environment and threat hunting platform. It provides a security-focused deployment of the ELK stack, combining Elasticsearch, Logstash, and Kibana into a specialized platform for investigating logs and discovering hidden patterns in network and system security data. The project functions as a security data science suite, integrating interactive computational notebooks and distributed processing tools to run machine learning and graph analytics on security logs. This allows for the identification of hidden attack patterns and an
Velociraptor is a digital forensics and incident response platform, endpoint detection and response system, and visibility tool. It provides a query engine and remote forensic collector used to hunt for indicators of compromise and perform triage across a fleet of hosts. The system is distinguished by its specialized query language for interrogating host state and parsing binary files. It features a notebook environment that combines markdown documentation with executable query cells to standardize investigative workflows and enable collaborative reporting. The platform covers a wide range o
