For info on exporting SVG images, HTML, etc., see Example Output (https://github.com/michelcrypt4d4mus/yaralyzer#example-output). Configuration If you place a filed called .yaralyzer in your home directory or the current working directory then environment variables specified in that .yaralyzer file will be added to the environment each time yaralyzer is invoked. This provides a mechanism for permanently configuring various command line options so you can avoid typing them over and over. See the example file .yaralyzer.example to see which options can be configured this way. Only one .yaralyzer file will be loaded and the working directory's .yaralyzer takes precedence over the home directory's .yaralyzer. As A Library Yaralyzer is the main class. It has a variety of constructors supporting: Precompiled YARA rules Creating a YARA rule from a string Loading YARA rules from files Loading YARA rules from all .yara file in a directory Scanning bytes Scanning a file Should you want to iterate over the BytesMatch (like a re.Match object for a YARA match) and BytesDecoder (tracks decoding attempt stats) objects returned by The Yaralyzer, you can do so like this: from yaralyzer.yaralyzer import Yaralyzer

yaralyzer = Yaralyzer.for_rules_files(['/secret/rule.yara'], 'lacan_buys_the_dip.pdf')

for bytes_match, bytes_decoder in yaralyzer.match_iterator():
do_stuff() Example Output The Yaralyzer can export visualizations to HTML, ANSI colored text, and SVG vector images using the file export functionality that comes with Rich (https://github.com/Textualize/rich). SVGs can be turned into png format images with a tool like Inkscape (https://inkscape.org/) or cairosvg. In our experience they both work though we've seen some glitchiness with cairosvg. PyPi Users: If you are reading this document on PyPi (https://pypi.org/project/yaralyzer/) be aware that it renders a lot better over on GitHub (https://github.com/michelcrypt4d4mus/yaralyzer). Pretty pictures, footnotes that work, etc. Raw YARA match result:

Display hex, raw python string, and various attempted decodings of both the match and the bytes before and after the match (configurable):

Bonus: see what chardet.detect() thinks about the likelihood your bytes are in a given encoding/language:

TODO highlight decodes done at chardets behest deal with repetitive matches

Download Yaralyzer (https://github.com/michelcrypt4d4mus/yaralyzer)

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