InvestigationPlaybookSpec
by Foundstone
InvestigationPlaybookSpec
AI summary
Investigation playbook spec
Provides a specification for structuring investigation playbooks in Markdown format to facilitate reuse and management.
- stars
- 72
- forks
- 16
- watching
- 17
Similar projects
Found by comparing what the projects do, not just their names.
Investigation templates
Structured investigation guides and playbooks for documenting and managing threat hunting and incident response processes.
Incident response templates
A collection of customizable templates for responding to common AWS security incidents
Regex guide
A comprehensive resource providing regular expression patterns and explanations for common use cases.
Threat playbook library
Community-developed playbooks and custom functions for Splunk SOAR threat hunting and incident response
Playbook templates
A collection of customizable recipes for responding to cyber threats and attacks
Table specification
Defines and tests table storage specifications for a caching and proxy API
Forensics setup
A suite of tools and images for building and managing digital forensics environments on AWS
demisto/cops151
Incident response standard
Standardized framework for creating and sharing incident response processes in a shared language
Go coding standard
A guide to best practices and design patterns in the Go programming language
Incident response templates
A collection of incident response case templates for TheHive
Script repository
A community-driven repository of reusable automation and orchestration scripts for ThreatConnect's security platform.
Exploit research notes
A collection of technical writeups on kernel exploits and webkit vulnerabilities for various platforms
corkami/pocs1.5K
Hash vulnerability testing
Research and experimentation with potential vulnerabilities in data hashing algorithms.
TypeScript specs
A collection of official and unofficial specification documents for the TypeScript programming language.
Investigation automator
An automation platform for investigating production issues with automated playbooks and observability integrations.