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

189 lines
6.7 KiB
Python

#!/usr/bin/env python3
"""Network packet analysis agent using Scapy for pcap parsing and anomaly detection."""
import json
import math
import argparse
from collections import defaultdict, Counter
from datetime import datetime
from scapy.all import rdpcap, IP, TCP, UDP, DNS, DNSQR, ICMP
def load_pcap(filepath):
"""Load packets from a pcap/pcapng file."""
packets = rdpcap(filepath)
print(f"[+] Loaded {len(packets)} packets from {filepath}")
return packets
def extract_packet_info(packets):
"""Extract structured info from each packet with IP layer."""
records = []
for pkt in packets:
if not pkt.haslayer(IP):
continue
info = {
"src_ip": pkt[IP].src,
"dst_ip": pkt[IP].dst,
"proto": pkt[IP].proto,
"ttl": pkt[IP].ttl,
"length": len(pkt),
"flags": str(pkt[IP].flags),
"timestamp": float(pkt.time),
}
if pkt.haslayer(TCP):
info["src_port"] = pkt[TCP].sport
info["dst_port"] = pkt[TCP].dport
info["tcp_flags"] = str(pkt[TCP].flags)
info["protocol"] = "TCP"
elif pkt.haslayer(UDP):
info["src_port"] = pkt[UDP].sport
info["dst_port"] = pkt[UDP].dport
info["protocol"] = "UDP"
elif pkt.haslayer(ICMP):
info["icmp_type"] = pkt[ICMP].type
info["icmp_code"] = pkt[ICMP].code
info["protocol"] = "ICMP"
else:
info["protocol"] = str(pkt[IP].proto)
if pkt.haslayer(DNS) and pkt.haslayer(DNSQR):
info["dns_query"] = pkt[DNSQR].qname.decode("utf-8", errors="ignore").rstrip(".")
info["dns_type"] = pkt[DNSQR].qtype
records.append(info)
return records
def compute_traffic_stats(records):
"""Compute overall traffic statistics."""
src_ips = Counter(r["src_ip"] for r in records)
dst_ips = Counter(r["dst_ip"] for r in records)
protocols = Counter(r["protocol"] for r in records)
dst_ports = Counter(r.get("dst_port", 0) for r in records if r.get("dst_port"))
total_bytes = sum(r["length"] for r in records)
return {
"total_packets": len(records),
"total_bytes": total_bytes,
"unique_src_ips": len(src_ips),
"unique_dst_ips": len(dst_ips),
"top_src_ips": src_ips.most_common(10),
"top_dst_ips": dst_ips.most_common(10),
"protocol_distribution": dict(protocols),
"top_dst_ports": dst_ports.most_common(10),
}
def detect_syn_flood(records, threshold=100):
"""Detect SYN flood by counting SYN-only packets per destination IP."""
syn_counts = defaultdict(int)
synack_counts = defaultdict(int)
for r in records:
if r.get("tcp_flags") == "S":
syn_counts[r["dst_ip"]] += 1
elif r.get("tcp_flags") == "SA":
synack_counts[r["dst_ip"]] += 1
alerts = []
for ip, count in syn_counts.items():
ack_count = synack_counts.get(ip, 0)
ratio = ack_count / count if count > 0 else 1.0
if count >= threshold and ratio < 0.3:
alerts.append({
"detection": "SYN Flood",
"target_ip": ip,
"syn_count": count,
"synack_count": ack_count,
"synack_ratio": round(ratio, 4),
"severity": "critical",
})
return alerts
def calculate_entropy(data):
"""Calculate Shannon entropy of a string."""
if not data:
return 0.0
freq = Counter(data)
length = len(data)
return -sum((c / length) * math.log2(c / length) for c in freq.values())
def detect_dns_tunneling(records, length_threshold=50, entropy_threshold=3.5):
"""Detect DNS tunneling via long/high-entropy query names."""
alerts = []
for r in records:
query = r.get("dns_query", "")
if not query:
continue
subdomain = query.split(".")[0] if "." in query else query
if len(subdomain) >= length_threshold or calculate_entropy(subdomain) >= entropy_threshold:
alerts.append({
"detection": "DNS Tunneling Indicator",
"query": query,
"subdomain_length": len(subdomain),
"entropy": round(calculate_entropy(subdomain), 4),
"src_ip": r["src_ip"],
"severity": "high",
})
return alerts
def detect_port_scan(records, threshold=20):
"""Detect port scanning by counting unique destination ports per source IP."""
src_ports = defaultdict(set)
for r in records:
if r.get("tcp_flags") == "S" and r.get("dst_port"):
src_ports[r["src_ip"]].add(r["dst_port"])
alerts = []
for ip, ports in src_ports.items():
if len(ports) >= threshold:
alerts.append({
"detection": "Port Scan",
"source_ip": ip,
"unique_ports_probed": len(ports),
"sample_ports": sorted(list(ports))[:20],
"severity": "high",
})
return alerts
def main():
parser = argparse.ArgumentParser(description="Network Packet Analysis Agent (Scapy)")
parser.add_argument("--pcap", required=True, help="Path to pcap/pcapng file")
parser.add_argument("--syn-threshold", type=int, default=100, help="SYN flood detection threshold")
parser.add_argument("--dns-length", type=int, default=50, help="DNS tunneling subdomain length threshold")
parser.add_argument("--scan-threshold", type=int, default=20, help="Port scan unique ports threshold")
parser.add_argument("--output", default="packet_analysis_report.json", help="Output report path")
args = parser.parse_args()
packets = load_pcap(args.pcap)
records = extract_packet_info(packets)
print(f"[+] Extracted {len(records)} IP-layer records")
stats = compute_traffic_stats(records)
syn_alerts = detect_syn_flood(records, args.syn_threshold)
dns_alerts = detect_dns_tunneling(records, args.dns_length)
scan_alerts = detect_port_scan(records, args.scan_threshold)
report = {
"analysis_time": datetime.utcnow().isoformat() + "Z",
"pcap_file": args.pcap,
"traffic_stats": stats,
"anomalies": {
"syn_flood": syn_alerts,
"dns_tunneling": dns_alerts,
"port_scan": scan_alerts,
},
"total_anomalies": len(syn_alerts) + len(dns_alerts) + len(scan_alerts),
}
with open(args.output, "w") as f:
json.dump(report, f, indent=2, default=str)
print(f"[+] SYN flood alerts: {len(syn_alerts)}")
print(f"[+] DNS tunneling indicators: {len(dns_alerts)}")
print(f"[+] Port scan detections: {len(scan_alerts)}")
print(f"[+] Report saved to {args.output}")
if __name__ == "__main__":
main()