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Parse YARA rules.

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Parse YARA rules into a dictionary representation.

Plyara is a script and library that lexes and parses a file consisting of one more YARA rules into a python dictionary representation. The goal of this tool is to make it easier to perform bulk operations or transformations of large sets of YARA rules, such as extracting indicators, updating attributes, and analyzing a corpus. Other applications include linters and dependency checkers.

Plyara leverages the Python module PLY for lexing YARA rules.

This is a community-maintained fork of the original plyara by 8u1a. The “plyara” trademark is used with permission.


Plyara requires Python 3.6+.

Install with pip:

pip3 install plyara


Use the plyara Python library in your own applications:

>>> import plyara
>>> parser = plyara.Plyara()
>>> mylist = parser.parse_string('rule MyRule { strings: $a="1" \n condition: false }')
>>> import pprint
>>> pprint.pprint(mylist)
[{'condition_terms': ['false'],
  'raw_condition': 'condition: false ',
  'raw_strings': 'strings: $a="1" \n ',
  'rule_name': 'MyRule',
  'start_line': 1,
  'stop_line': 2,
  'strings': [{'name': '$a', 'type': 'text', 'value': '1'}]}]

Or, use the included plyara script from the command line:

$ plyara -h
usage: plyara [-h] [--log] FILE

Parse YARA rules into a dictionary representation.

positional arguments:
  FILE        File containing YARA rules to parse.

optional arguments:
  -h, --help  show this help message and exit
  --log       Enable debug logging to the console.

The command-line tool will print valid JSON output when parsing rules:

$ cat example.yar
rule silent_banker : banker
        description = "This is just an example"
        thread_level = 3
        in_the_wild = true
        $a = {6A 40 68 00 30 00 00 6A 14 8D 91}
        $b = {8D 4D B0 2B C1 83 C0 27 99 6A 4E 59 F7 F9}
        $a or $b or $c

$ plyara example.yar
        "condition_terms": [
        "metadata": [
                "description": "This is just an example"
                "thread_level": 3
                "in_the_wild": true
        "raw_condition": "condition:\n        $a or $b or $c\n",
        "raw_meta": "meta:\n        description = \"This is just an example\"\n        thread_level = 3\n        in_the_wild = true\n    ",
        "raw_strings": "strings:\n        $a = {6A 40 68 00 30 00 00 6A 14 8D 91}\n        $b = {8D 4D B0 2B C1 83 C0 27 99 6A 4E 59 F7 F9}\n        $c = \"UVODFRYSIHLNWPEJXQZAKCBGMT\"\n    ",
        "rule_name": "silent_banker",
        "start_line": 1,
        "stop_line": 13,
        "strings": [
                "name": "$a",
                "type": "byte",
                "value": "{6A 40 68 00 30 00 00 6A 14 8D 91}"
                "name": "$b",
                "type": "byte",
                "value": "{8D 4D B0 2B C1 83 C0 27 99 6A 4E 59 F7 F9}"
                "name": "$c",
                "type": "text",
                "value": "UVODFRYSIHLNWPEJXQZAKCBGMT"
        "tags": [

Reusing The Parser

If you want to reuse a single instance of the parser object for efficiency when parsing large quantities of rule or rulesets, the new clear() method must be used.

rules = list()
parser = plyara.Plyara()

for file in files:
    with open(file, 'r') as fh:
        yararules = parser.parse_string(
        rules += yararules


If you used an older version of plyara, and want to migrate to this version, there will be some changes required. Most importantly, the parser object instantiation has changed. It was:

# Old style - don't do this!
import plyara.interp as interp
rules_list = interp.parseString(open('myfile.yar').read())

But is now:

# New style - do this instead!
import plyara
parser = plyara.Plyara()
rules_list = parser.parse_string(open('myfile.yar').read())

The existing parsed keys have stayed the same, and new ones have been added.

When reusing a parser for multiple rules and/or files, be aware that imports are now shared across all rules - if one rule has an import, that import will be added to all rules in your parser object.


  • If you find a bug, or would like to see a new feature, Pull Requests and Issues are always welcome.

  • By submitting changes, you agree to release those changes under the terms of the LICENSE.

  • Writing passing unit tests for your changes, while not required, is highly encouraged and appreciated.

  • Please run all code contributions through each of the linters that we use for this project: pycodestyle, pydocstyle, and pyflakes. See the .travis.yml file for exact use. For more information on these linters, please refer to the Python Code Quality Authority:


  • You may join our IRC channel on #plyara

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