Jager
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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Repository containing IoCs related to Volexity's threat intelligence blog posts and tools.
C# wrapper around Yara pattern matching library with Loki and Yara signature support.
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A minimalistic Java library for representing threat model data in a normalized way and automating threat intelligence extraction.
Check the reputation of an IP address to identify potential threats.
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