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

119 lines
4.7 KiB
Python

#!/usr/bin/env python3
"""
Suspicious Scheduled Task Detection Script
Analyzes Windows event logs for malicious scheduled task creation,
modification, and execution patterns.
"""
import json
import csv
import argparse
import datetime
import re
from pathlib import Path
SUSPICIOUS_ACTION_PATTERNS = [
(r"(?i)powershell", "powershell_execution", "HIGH"),
(r"(?i)(cmd\.exe|cmd\s/c)", "command_shell", "HIGH"),
(r"(?i)(wscript|cscript)", "script_execution", "HIGH"),
(r"(?i)(mshta|rundll32|regsvr32)", "lolbin_execution", "CRITICAL"),
(r"(?i)(http|https)://", "network_download", "CRITICAL"),
(r"(?i)(\\temp\\|\\appdata\\|\\downloads\\)", "user_writable_path", "HIGH"),
(r"(?i)(-enc\s|-encodedcommand)", "encoded_command", "CRITICAL"),
(r"(?i)(base64|frombase64)", "base64_content", "HIGH"),
]
LEGITIMATE_TASK_PATHS = [
r"(?i)\\Microsoft\\",
r"(?i)\\Windows\\",
r"(?i)\\Adobe\\",
r"(?i)\\Google\\",
]
def parse_events(input_path: str) -> list[dict]:
path = Path(input_path)
events = []
if path.suffix == ".json":
with open(path, "r", encoding="utf-8") as f:
data = json.load(f)
events = data if isinstance(data, list) else data.get("events", [])
elif path.suffix == ".csv":
with open(path, "r", encoding="utf-8-sig") as f:
events = [dict(row) for row in csv.DictReader(f)]
return events
def detect_suspicious_tasks(events: list[dict]) -> list[dict]:
findings = []
for event in events:
event_code = str(event.get("EventCode", event.get("EventID", "")))
computer = event.get("Computer", event.get("host", ""))
timestamp = event.get("TimeCreated", event.get("_time", ""))
user = event.get("SubjectUserName", event.get("user", ""))
if event_code == "4698":
task_name = event.get("TaskName", "")
task_content = event.get("TaskContent", "")
if any(re.search(p, task_name) for p in LEGITIMATE_TASK_PATHS):
continue
cmd_match = re.search(r"<Command>([^<]+)</Command>", task_content)
args_match = re.search(r"<Arguments>([^<]+)</Arguments>", task_content)
command = cmd_match.group(1) if cmd_match else ""
arguments = args_match.group(1) if args_match else ""
full_action = f"{command} {arguments}"
for pattern, category, severity in SUSPICIOUS_ACTION_PATTERNS:
if re.search(pattern, full_action):
findings.append({
"timestamp": timestamp, "computer": computer, "user": user,
"task_name": task_name, "command": command,
"arguments": arguments, "category": category,
"severity": severity, "technique": "T1053.005",
})
break
elif event_code == "1":
image = event.get("Image", "")
cmdline = event.get("CommandLine", "")
if "schtasks.exe" in image.lower() and "/create" in cmdline.lower():
for pattern, category, severity in SUSPICIOUS_ACTION_PATTERNS:
if re.search(pattern, cmdline):
findings.append({
"timestamp": timestamp, "computer": computer, "user": user,
"task_name": "via_schtasks",
"command": image, "arguments": cmdline,
"category": f"schtasks_{category}",
"severity": severity, "technique": "T1053.005",
})
break
return sorted(findings, key=lambda x: {"CRITICAL": 0, "HIGH": 1, "MEDIUM": 2}.get(x["severity"], 3))
def run_hunt(input_path: str, output_dir: str) -> None:
print(f"[*] Scheduled Task Hunt - {datetime.datetime.now().isoformat()}")
events = parse_events(input_path)
findings = detect_suspicious_tasks(events)
print(f"[!] Suspicious task detections: {len(findings)}")
output_path = Path(output_dir)
output_path.mkdir(parents=True, exist_ok=True)
with open(output_path / "schtask_findings.json", "w", encoding="utf-8") as f:
json.dump({"hunt_id": f"TH-SCHTASK-{datetime.date.today().isoformat()}",
"findings": findings}, f, indent=2)
print(f"[+] Results written to {output_dir}")
def main():
parser = argparse.ArgumentParser(description="Suspicious Scheduled Task Detection")
parser.add_argument("--input", "-i", required=True)
parser.add_argument("--output", "-o", default="./schtask_hunt_output")
args = parser.parse_args()
run_hunt(args.input, args.output)
if __name__ == "__main__":
main()