Jupyter Notebooks for Threat Hunting
Jupyter Notebooks are used to create capabilities around categories or stages of threats, allowing users to consume, enrich, and output data for gaining insights that may not be visible otherwise. The tool emphasizes the importance of continuously adding new methods, data sources, and expertise to enhance the hunting process.
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A sophisticated npm attack attributed to North Korean threat actors, targeting technology firms and their employees.
A tool designed to extract additional value from enterprise-wide AppCompat / AmCache data
A cybersecurity tool for managing data points and cyber threat indicators with a focus on neo4j data traversal.
Python-based client for IBM XForce Exchange with an improved version available.
A parsing tool for Yara Scan Service's JSON output file to help maximize benefits and automate parsing of Yara Scan Service results.
Provides indicators of compromise (IOCs) to combat malware with Yara and Snort rules.
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