Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):

- brain/        LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
                dispatch, A51 channels, and the OSINT cluster
- knowledge/    LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
                MITRE ATT&CK data
- reference/    defensive threat-reference (C3, shhbruh doc) + AdaYaml parser

License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.

Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.

https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
2026-06-10 06:53:01 +00:00

162 lines
5.6 KiB
Python

#!/usr/bin/env python3
"""Agent for YARA rule development and testing.
Creates YARA rules from malware samples by extracting unique strings
and byte patterns, validates rules for performance, tests against
sample sets, and generates detection coverage reports.
"""
import json
import sys
import os
import hashlib
import re
from datetime import datetime
from pathlib import Path
try:
import yara
HAS_YARA = True
except ImportError:
HAS_YARA = False
class YaraRuleDeveloper:
"""Develops, validates, and tests YARA rules."""
def __init__(self, output_dir="./yara_rules"):
self.output_dir = Path(output_dir)
self.output_dir.mkdir(parents=True, exist_ok=True)
self.rules = []
def extract_strings(self, sample_path, min_length=8, max_strings=30):
"""Extract unique strings from a binary sample for rule creation."""
with open(sample_path, "rb") as f:
data = f.read()
ascii_strings = re.findall(rb'[\x20-\x7E]{%d,}' % min_length, data)
wide_strings = re.findall(
rb'(?:[\x20-\x7E]\x00){%d,}' % min_length, data)
unique_ascii = list(set(s.decode("ascii", errors="ignore")
for s in ascii_strings))
unique_wide = list(set(s.decode("utf-16-le", errors="ignore")
for s in wide_strings))
scored = []
generic_terms = {"http", "https", "www", "com", "dll", "exe",
"the", "this", "that", "error", "warning"}
for s in unique_ascii:
score = len(s)
if any(g in s.lower() for g in generic_terms):
score -= 5
if re.search(r'[A-Z][a-z]+[A-Z]', s):
score += 3
if "/" in s or "\\" in s:
score += 2
scored.append({"string": s, "type": "ascii", "score": score})
for s in unique_wide:
scored.append({"string": s, "type": "wide", "score": len(s) - 2})
scored.sort(key=lambda x: x["score"], reverse=True)
return scored[:max_strings]
def generate_rule(self, rule_name, sample_path, description="",
tags=None, author="auto"):
"""Generate a YARA rule from a malware sample."""
strings = self.extract_strings(sample_path)
sha256 = hashlib.sha256(Path(sample_path).read_bytes()).hexdigest()
rule_strings = []
for i, s in enumerate(strings[:15]):
if s["type"] == "ascii":
rule_strings.append(f' $s{i} = "{s["string"]}"')
else:
rule_strings.append(f' $s{i} = "{s["string"]}" wide')
tags_str = " : " + " ".join(tags) if tags else ""
rule_text = f"""rule {rule_name}{tags_str}
{{
meta:
description = "{description}"
author = "{author}"
date = "{datetime.utcnow().strftime('%Y-%m-%d')}"
hash = "{sha256}"
strings:
{chr(10).join(rule_strings)}
condition:
uint16(0) == 0x5A4D and filesize < 10MB and 5 of ($s*)
}}
"""
rule_path = self.output_dir / f"{rule_name}.yar"
rule_path.write_text(rule_text)
self.rules.append({"name": rule_name, "path": str(rule_path),
"strings_count": len(rule_strings)})
return {"rule_name": rule_name, "path": str(rule_path),
"strings": len(rule_strings), "hash": sha256}
def validate_rule(self, rule_path):
"""Compile and validate a YARA rule for syntax and performance."""
if not HAS_YARA:
return {"error": "yara-python not installed"}
try:
yara.compile(filepath=rule_path)
return {"valid": True, "path": rule_path}
except yara.SyntaxError as exc:
return {"valid": False, "error": str(exc)}
def test_rule(self, rule_path, sample_dir):
"""Test a YARA rule against a directory of samples."""
if not HAS_YARA:
return {"error": "yara-python not installed"}
try:
compiled = yara.compile(filepath=rule_path)
except yara.SyntaxError as exc:
return {"error": str(exc)}
results = {"matches": [], "no_match": [], "errors": []}
for root, dirs, files in os.walk(sample_dir):
for fname in files:
fpath = os.path.join(root, fname)
try:
matches = compiled.match(fpath, timeout=30)
if matches:
results["matches"].append({
"file": fpath, "rules": [m.rule for m in matches]})
else:
results["no_match"].append(fpath)
except yara.Error as exc:
results["errors"].append({"file": fpath, "error": str(exc)})
return results
def generate_report(self):
report = {
"report_date": datetime.utcnow().isoformat(),
"rules_created": len(self.rules),
"rules": self.rules,
}
print(json.dumps(report, indent=2))
return report
def main():
if len(sys.argv) < 3:
print("Usage: agent.py <rule_name> <sample_path> [test_dir]")
sys.exit(1)
agent = YaraRuleDeveloper()
rule_name = sys.argv[1]
sample = sys.argv[2]
result = agent.generate_rule(rule_name, sample)
validation = agent.validate_rule(result["path"])
print(json.dumps({"rule": result, "validation": validation}, indent=2))
if len(sys.argv) > 3:
test_results = agent.test_rule(result["path"], sys.argv[3])
print(json.dumps(test_results, indent=2))
if __name__ == "__main__":
main()