Files
Anthropic-Cybersecurity-Skills/skills/analyzing-network-packets-with-scapy/scripts/agent.py
T
mukul975 757f1c8eae Add 5 new cybersecurity skills with full implementations
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- performing-threat-intelligence-sharing-with-misp: PyMISP event creation, attribute management, sharing validation
- analyzing-cobaltstrike-malleable-c2-profiles: dissect.cobaltstrike C2Profile parsing, Suricata rule generation
- hunting-for-registry-run-key-persistence: Sysmon Event 13 analysis, T1547.001 detection, Sigma rule generation
2026-03-11 00:41:59 +01:00

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, Raw
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()