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Feat: Added analyze logsource command line
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Original file line number | Diff line number | Diff line change |
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import copy | ||
from typing import Dict, List | ||
from sigma.rule import SigmaRule, SigmaLevel | ||
from sigma.collection import SigmaCollection | ||
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rule_level_mapping = { | ||
None: "None", | ||
SigmaLevel.INFORMATIONAL: "Informational", | ||
SigmaLevel.LOW: "Low", | ||
SigmaLevel.MEDIUM: "Medium", | ||
SigmaLevel.HIGH: "High", | ||
SigmaLevel.CRITICAL: "Critical", | ||
} | ||
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template_stat_detail = { | ||
"Overall": 0, | ||
"Critical": 0, | ||
"High": 0, | ||
"Medium": 0, | ||
"Low": 0, | ||
"Informational": 0, | ||
"None": 0, | ||
} | ||
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def format_row(row: str, column_widths: List) -> str: | ||
"""Format rows for table.""" | ||
return " | ".join( | ||
f"{str(item).ljust(width)}" for item, width in zip(row, column_widths) | ||
) | ||
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def get_rulelevel_mapping(rule: SigmaRule) -> int: | ||
"""Calculate rule score according to rule_level_scores.""" | ||
return rule_level_mapping[rule.level] | ||
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def create_logsourcestats(rules: SigmaCollection) -> Dict[str, int]: | ||
""" | ||
Iterate through all the rules and count SigmaLevel grouped by | ||
Logsource Category Name. | ||
""" | ||
stats = {} | ||
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for rule in rules: | ||
if hasattr(rule, "logsource"): | ||
# Create stats key for logsource category. | ||
if not rule.logsource.category in stats: | ||
stats[rule.logsource.category] = copy.deepcopy(template_stat_detail) | ||
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stats[rule.logsource.category]["Overall"] += 1 | ||
stats[rule.logsource.category][get_rulelevel_mapping(rule)] += 1 | ||
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return stats |
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