Files
Anthropic-Cybersecurity-Skills/skills/building-detection-rules-with-sigma/scripts/agent.py
T
mukul975 c47eed6a64 Production hardening: security fixes, code quality, 724 skills complete
- Fix 25 shell=True subprocess calls with list-based commands
- Fix 49 verify=False in defensive skills (env-var override)
- Add timeout to 231 HTTP/subprocess/socket calls
- Fix 6 SQL injection patterns with whitelist validation
- Replace 8 __import__() with standard imports
- Remove 701 unused imports across 442 files
- Add authorized-testing disclaimers to all offensive skills
- Complete 11 incomplete skill directories
- Expand 10 stub SKILL.md files with full content
- Fix 2 YAML parse errors in frontmatter
- Fix 5 pre-existing syntax errors
- Convert 22 hardcoded paths/ports to environment variables
- Back up 21 redundant skill pairs to .bak
- Fix 2 global declaration errors
- 724/724 skills with full folder anatomy (SKILL.md + agent.py + api-reference.md + LICENSE)
- 0 compile errors across all 724 agent.py files
2026-03-19 13:26:49 +01:00

174 lines
6.3 KiB
Python

#!/usr/bin/env python3
"""Agent for building and converting Sigma detection rules."""
import json
import argparse
from datetime import datetime
from pathlib import Path
from sigma.rule import SigmaRule
from sigma.backends.splunk import SplunkBackend
from sigma.pipelines.splunk import splunk_windows_pipeline
def load_sigma_rule(rule_path):
"""Load a Sigma rule from a YAML file."""
with open(rule_path) as f:
return SigmaRule.from_yaml(f.read())
def load_sigma_directory(directory):
"""Load all Sigma rules from a directory."""
rules = []
for path in Path(directory).rglob("*.yml"):
try:
rule = load_sigma_rule(str(path))
rules.append({"path": str(path), "rule": rule})
except Exception as e:
print(f" Warning: Failed to parse {path}: {e}")
return rules
def convert_to_splunk(rule):
"""Convert a Sigma rule to Splunk SPL query."""
pipeline = splunk_windows_pipeline()
backend = SplunkBackend(pipeline)
queries = backend.convert_rule(rule)
return queries
def convert_to_splunk_savedsearch(rule):
"""Convert a Sigma rule to Splunk saved search format."""
pipeline = splunk_windows_pipeline()
backend = SplunkBackend(pipeline)
return backend.convert_rule(rule, output_format="savedsearches")
def validate_sigma_rule(rule_path):
"""Validate a Sigma rule for syntax and best practices."""
issues = []
try:
rule = load_sigma_rule(rule_path)
if not rule.title:
issues.append("Missing title")
if not rule.id:
issues.append("Missing rule ID")
if not rule.level:
issues.append("Missing severity level")
if not rule.tags:
issues.append("Missing ATT&CK tags")
if not rule.description:
issues.append("Missing description")
if not rule.logsource:
issues.append("Missing logsource definition")
return {"valid": len(issues) == 0, "issues": issues, "title": str(rule.title)}
except Exception as e:
return {"valid": False, "issues": [str(e)]}
def extract_attack_techniques(rules):
"""Extract MITRE ATT&CK technique IDs from Sigma rules."""
techniques = {}
for entry in rules:
rule = entry["rule"]
for tag in rule.tags:
tag_str = str(tag)
if tag_str.startswith("attack.t"):
technique_id = tag_str.replace("attack.", "").upper()
if technique_id not in techniques:
techniques[technique_id] = []
techniques[technique_id].append(str(rule.title))
return techniques
def generate_attack_navigator_layer(techniques, layer_name="Sigma Detection Coverage"):
"""Generate a MITRE ATT&CK Navigator layer JSON from extracted techniques."""
layer = {
"name": layer_name,
"versions": {"attack": "14", "navigator": "4.9", "layer": "4.5"},
"domain": "enterprise-attack",
"techniques": [],
}
for tid, rule_names in techniques.items():
layer["techniques"].append({
"techniqueID": tid,
"color": "#31a354",
"score": len(rule_names),
"comment": "; ".join(rule_names[:3]),
})
return layer
def batch_convert(directory, backend_name="splunk"):
"""Batch convert all Sigma rules in a directory to target backend."""
rules = load_sigma_directory(directory)
converted = []
for entry in rules:
try:
if backend_name == "splunk":
queries = convert_to_splunk(entry["rule"])
converted.append({
"file": entry["path"],
"title": str(entry["rule"].title),
"level": str(entry["rule"].level),
"queries": [str(q) for q in queries],
})
except Exception as e:
converted.append({"file": entry["path"], "error": str(e)})
return converted
def main():
parser = argparse.ArgumentParser(description="Sigma Detection Rule Builder Agent")
parser.add_argument("--rule", help="Path to a single Sigma rule YAML file")
parser.add_argument("--directory", help="Directory of Sigma rules")
parser.add_argument("--backend", choices=["splunk"], default="splunk")
parser.add_argument("--output", default="sigma_output.json")
parser.add_argument("--action", choices=[
"validate", "convert", "batch_convert", "coverage", "full_pipeline"
], default="full_pipeline")
args = parser.parse_args()
report = {"generated_at": datetime.utcnow().isoformat()}
if args.action == "validate" and args.rule:
result = validate_sigma_rule(args.rule)
print(f"[+] Validation: {'PASS' if result['valid'] else 'FAIL'}")
if result["issues"]:
for issue in result["issues"]:
print(f" - {issue}")
report["validation"] = result
if args.action == "convert" and args.rule:
rule = load_sigma_rule(args.rule)
queries = convert_to_splunk(rule)
print(f"[+] Converted '{rule.title}' to Splunk SPL:")
for q in queries:
print(f" {q}")
report["conversion"] = {"title": str(rule.title), "queries": [str(q) for q in queries]}
if args.action in ("batch_convert", "full_pipeline") and args.directory:
converted = batch_convert(args.directory, args.backend)
success = sum(1 for c in converted if "queries" in c)
print(f"[+] Batch converted {success}/{len(converted)} rules to {args.backend}")
report["batch_conversion"] = converted
if args.action in ("coverage", "full_pipeline") and args.directory:
rules = load_sigma_directory(args.directory)
techniques = extract_attack_techniques(rules)
layer = generate_attack_navigator_layer(techniques)
layer_path = args.output.replace(".json", "_layer.json")
with open(layer_path, "w") as f:
json.dump(layer, f, indent=2)
print(f"[+] ATT&CK coverage: {len(techniques)} techniques from {len(rules)} rules")
print(f"[+] Navigator layer saved to {layer_path}")
report["coverage"] = {"techniques": len(techniques), "rules": len(rules)}
with open(args.output, "w") as f:
json.dump(report, f, indent=2, default=str)
print(f"[+] Output saved to {args.output}")
if __name__ == "__main__":
main()