Jager is a tool for pulling useful IOCs (indicators of compromise) out of various input sources (PDFs for now, plain text really soon, webpages eventually) and putting them into an easy to manipulate JSON format. Short Comings: - Doesn't do OCR, so CrowdStrike's 'Images only' PDFs don't work well. - Text analysis feature is planned for OCR by hand. - Regex's need improvement for better performance. - Some manual work needed for group names or attribution. Use: To analyze a PDF: python jager.py -i foo.pdf -o bar.json To analyze a directory of PDFs: python jager.py -d ~/foo -o ~/bar Features for the Future: - New Analysis Modes - Webpages - Plain Text - New Indicator Types: URLs, File Paths, Registry Keys - More Useful Output
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An open source threat intelligence platform for storing and managing cyber threat intelligence knowledge.
A free and open-source OSINT framework for gathering and analyzing data from various sources
A threat intelligence platform that collects, analyzes, and operationalizes threat data from multiple sources to help organizations identify and respond to security threats.
Signature-based YARA rules for detecting and preventing threats within Linux, Windows, and macOS systems.
Converts OpenIOC v1.0 XML files into STIX Indicators, generating STIX v1.2 and CybOX v2.1 content.
A sophisticated npm attack attributed to North Korean threat actors, targeting technology firms and their employees.
Repository with projects for photo and video hashing, content moderation, and signal exchange.
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