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

165 lines
5.6 KiB
Python

#!/usr/bin/env python3
"""Supply chain malware artifact analysis agent.
Analyzes software supply chain compromise indicators including package
integrity, build pipeline artifacts, dependency confusion, and trojanized updates.
"""
import os
import sys
import json
import hashlib
import re
import subprocess
from datetime import datetime
try:
import requests
HAS_REQUESTS = True
except ImportError:
HAS_REQUESTS = False
def compute_hash(filepath):
hashes = {}
for algo in ("md5", "sha1", "sha256"):
h = hashlib.new(algo)
with open(filepath, "rb") as f:
for chunk in iter(lambda: f.read(65536), b""):
h.update(chunk)
hashes[algo] = h.hexdigest()
return hashes
def check_npm_package(package_name):
if not HAS_REQUESTS:
return {"error": "requests not installed"}
url = f"https://registry.npmjs.org/{package_name}"
try:
resp = requests.get(url, timeout=15)
resp.raise_for_status()
data = resp.json()
latest = data.get("dist-tags", {}).get("latest", "")
versions = list(data.get("versions", {}).keys())
maintainers = data.get("maintainers", [])
return {
"name": package_name, "latest": latest,
"version_count": len(versions),
"maintainers": [m.get("name") for m in maintainers],
}
except requests.RequestException as e:
return {"error": str(e)}
def check_pypi_package(package_name):
if not HAS_REQUESTS:
return {"error": "requests not installed"}
url = f"https://pypi.org/pypi/{package_name}/json"
try:
resp = requests.get(url, timeout=15)
resp.raise_for_status()
data = resp.json()
info = data.get("info", {})
return {
"name": info.get("name"), "version": info.get("version"),
"author": info.get("author"),
"release_count": len(data.get("releases", {})),
}
except requests.RequestException as e:
return {"error": str(e)}
def detect_typosquat_packages(target_name):
permutations = set()
for i in range(len(target_name)):
permutations.add(target_name[:i] + target_name[i+1:])
for i in range(len(target_name) - 1):
swapped = list(target_name)
swapped[i], swapped[i+1] = swapped[i+1], swapped[i]
permutations.add("".join(swapped))
permutations.add(target_name.replace("-", "_"))
permutations.add(target_name.replace("_", "-"))
permutations.discard(target_name)
return sorted(permutations)
def analyze_package_scripts(package_json_path):
with open(package_json_path, "r") as f:
pkg = json.load(f)
findings = []
scripts = pkg.get("scripts", {})
for hook in ["preinstall", "postinstall", "preuninstall"]:
if hook in scripts:
cmd = scripts[hook]
findings.append({
"type": "install_hook", "hook": hook, "command": cmd[:200],
"severity": "HIGH" if any(s in cmd.lower() for s in
["curl", "wget", "eval", "exec", "base64"]) else "MEDIUM",
})
deps = {**pkg.get("dependencies", {}), **pkg.get("devDependencies", {})}
for dep, ver in deps.items():
if ver.startswith("http") or ver.startswith("git"):
findings.append({
"type": "url_dependency", "package": dep,
"source": ver[:200], "severity": "HIGH",
})
return {"name": pkg.get("name"), "findings": findings}
def analyze_python_setup(setup_py_path):
with open(setup_py_path, "r") as f:
content = f.read()
findings = []
patterns = [
(r"os\.system\(", "os.system() execution"),
(r"subprocess\.", "subprocess execution"),
(r"exec\(", "exec() code execution"),
(r"eval\(", "eval() code execution"),
(r"base64\.b64decode", "Base64 decoding"),
(r"socket\.", "Network socket usage"),
]
for pattern, description in patterns:
if re.search(pattern, content):
findings.append({
"type": "suspicious_setup_code",
"pattern": description, "severity": "HIGH",
})
return {"file": setup_py_path, "findings": findings}
if __name__ == "__main__":
print("=" * 60)
print("Supply Chain Malware Artifact Analysis Agent")
print("Package integrity, typosquat detection, install hook analysis")
print("=" * 60)
target = sys.argv[1] if len(sys.argv) > 1 else None
if not target:
print("\n[DEMO] Usage:")
print(" python agent.py <package.json> # Analyze npm package")
print(" python agent.py npm:<package_name> # Check npm registry")
print(" python agent.py pypi:<package_name> # Check PyPI registry")
sys.exit(0)
if target.startswith("npm:"):
pkg_name = target[4:]
print(f"\n[*] Checking npm: {pkg_name}")
info = check_npm_package(pkg_name)
typos = detect_typosquat_packages(pkg_name)
print(json.dumps(info, indent=2))
print(f"\n Potential typosquats: {typos[:10]}")
elif target.startswith("pypi:"):
pkg_name = target[5:]
print(f"\n[*] Checking PyPI: {pkg_name}")
info = check_pypi_package(pkg_name)
print(json.dumps(info, indent=2))
elif os.path.exists(target):
basename = os.path.basename(target)
if basename == "package.json":
result = analyze_package_scripts(target)
elif basename == "setup.py":
result = analyze_python_setup(target)
else:
result = {"file": target, "hashes": compute_hash(target)}
print(json.dumps(result, indent=2))