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 3.10+.
Install with pip:
pip install plyaraUse 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:
rule silent_banker : banker
{
meta:
description = "This is just an example"
threat_level = 3
in_the_wild = true
strings:
$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}
$c = "UVODFRYSIHLNWPEJXQZAKCBGMT"
condition:
$a or $b or $c
}Command-line tool:
plyara example.yarJSON Output:
[
{
"condition_terms": [
"$a",
"or",
"$b",
"or",
"$c"
],
"metadata": [
{
"description": "This is just an example"
},
{
"threat_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 threat_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": [
"banker"
]
}
]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(fh.read())
rules += yararules
parser.clear()Imports are available to be used in a rule even if not used in a condition. Also, any module which is imported at all is used in processing all files scanned using the ruleset regardless if the import is used anywhere. Some users require that all rules affected by a particular import include that import in the dictionary output of plyara. At the same time, many users expect that a particular rule not include an import if that import is not used in the rule.
A new class constructor parameter called import_effects has been added to the parser. This parameter defaults to False which is a breaking change. Users who wish to retain the behavior from versions before 2.2, will need to set this parameter to True like so:
parser = plyara.Plyara(import_effects=True)When reusing a parser for multiple rules and/or files and import_effects is enabled, 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.
Logic hashes now prepend a version number as well as the algorithm used to the hash itself. This will make future changes and revisions easier for uses to track. The old behavior is accessed using the legacy parameter on the utils.generate_hash() utility function.
rules = Plyara().parse_string(input_string)
rulehash = generate_hash(rules[0], legacy=True)If the output of a particular rule looks incorrect after parsing by Plyara, you may be able to mitigate the problem by using YARA-X's fmt command for pre-processing. If you do notice a problem that requires pre-processing, please also open an issue.
yr fmt foo.yar- 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
- pyflakes
- For more information on these linters, please refer to the Python Code Quality Authority
python -m unittest discovercoverage run -m unittest discover
coverage report -mTo properly clone this repository including the git submodule for PLY, use the following command:
git clone --recursive https://github.com/plyara/plyara.git