Anthropic-Cybersecurity-Skills/skills/analyzing-network-covert-channels-in-malware/scripts/agent.py

#!/usr/bin/env python3
"""Network covert channel detection agent for malware traffic analysis.

Detects DNS tunneling, ICMP covert channels, HTTP header steganography,
and protocol abuse in PCAP captures using scapy.
"""

import os
import sys
import json
import math
import hashlib
from collections import Counter, defaultdict

try:
    from scapy.all import rdpcap, DNS, DNSQR, DNSRR, ICMP, IP, TCP, UDP, Raw
    HAS_SCAPY = True
except ImportError:
    HAS_SCAPY = False


def shannon_entropy(data):
    """Calculate Shannon entropy of byte data."""
    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(packets, entropy_threshold=3.5, length_threshold=50):
    """Detect DNS tunneling by analyzing query name entropy and length."""
    findings = []
    dns_queries = defaultdict(list)
    for pkt in packets:
        if pkt.haslayer(DNSQR):
            qname = pkt[DNSQR].qname.decode("utf-8", errors="replace").rstrip(".")
            src = pkt[IP].src if pkt.haslayer(IP) else "?"
            labels = qname.split(".")
            subdomain = ".".join(labels[:-2]) if len(labels) > 2 else qname
            entropy = shannon_entropy(subdomain.encode())
            base_domain = ".".join(labels[-2:]) if len(labels) >= 2 else qname
            dns_queries[base_domain].append({
                "query": qname, "src": src, "entropy": round(entropy, 3),
                "subdomain_len": len(subdomain),
            })
            if entropy > entropy_threshold and len(subdomain) > length_threshold:
                findings.append({
                    "type": "dns_tunneling", "query": qname, "src": src,
                    "entropy": round(entropy, 3),
                    "subdomain_length": len(subdomain), "severity": "HIGH",
                })
    volume_findings = []
    for domain, queries in dns_queries.items():
        if len(queries) > 100:
            avg_entropy = sum(q["entropy"] for q in queries) / len(queries)
            if avg_entropy > 3.0:
                volume_findings.append({
                    "type": "dns_high_volume", "domain": domain,
                    "query_count": len(queries),
                    "avg_entropy": round(avg_entropy, 3), "severity": "HIGH",
                })
    return findings[:50], volume_findings


def detect_icmp_covert_channel(packets, payload_threshold=64):
    """Detect ICMP covert channels via payload analysis."""
    findings = []
    icmp_flows = defaultdict(list)
    for pkt in packets:
        if pkt.haslayer(ICMP) and pkt.haslayer(Raw):
            payload = bytes(pkt[Raw].load)
            src = pkt[IP].src if pkt.haslayer(IP) else "?"
            dst = pkt[IP].dst if pkt.haslayer(IP) else "?"
            entropy = shannon_entropy(payload)
            flow_key = f"{src}->{dst}"
            icmp_flows[flow_key].append(payload)
            if len(payload) > payload_threshold and entropy > 5.0:
                findings.append({
                    "type": "icmp_covert", "src": src, "dst": dst,
                    "icmp_type": pkt[ICMP].type,
                    "payload_size": len(payload),
                    "entropy": round(entropy, 3), "severity": "HIGH",
                })
    for flow, payloads in icmp_flows.items():
        total_bytes = sum(len(p) for p in payloads)
        if total_bytes > 10000:
            findings.append({
                "type": "icmp_exfiltration", "flow": flow,
                "total_bytes": total_bytes,
                "packet_count": len(payloads), "severity": "HIGH",
            })
    return findings[:50]


def detect_http_header_covert(packets):
    """Detect covert data in HTTP headers."""
    findings = []
    for pkt in packets:
        if pkt.haslayer(TCP) and pkt.haslayer(Raw):
            try:
                payload = bytes(pkt[Raw].load).decode("utf-8", errors="replace")
            except Exception:
                continue
            if not payload.startswith(("GET ", "POST ", "HTTP/")):
                continue
            for line in payload.split("\r\n"):
                if ":" not in line:
                    continue
                header, _, value = line.partition(":")
                value = value.strip()
                if header.lower() == "cookie" and len(value) > 500:
                    entropy = shannon_entropy(value.encode())
                    if entropy > 4.5:
                        findings.append({
                            "type": "http_cookie_exfil", "header": header,
                            "value_length": len(value),
                            "entropy": round(entropy, 3), "severity": "MEDIUM",
                        })
                if header.lower().startswith("x-") and len(value) > 100:
                    entropy = shannon_entropy(value.encode())
                    if entropy > 4.0:
                        findings.append({
                            "type": "http_custom_header", "header": header,
                            "value_length": len(value),
                            "entropy": round(entropy, 3), "severity": "MEDIUM",
                        })
    return findings[:50]


def detect_protocol_anomalies(packets):
    """Detect protocol-level anomalies indicating covert communication."""
    findings = []
    for pkt in packets:
        if pkt.haslayer(IP):
            proto = pkt[IP].proto
            if proto not in (1, 6, 17, 47, 50, 51):
                findings.append({
                    "type": "unusual_ip_proto", "protocol": proto,
                    "src": pkt[IP].src, "dst": pkt[IP].dst, "severity": "MEDIUM",
                })
    return findings[:50]


def generate_report(pcap_path, dns_f, dns_v, icmp_f, http_f, proto_f):
    """Generate covert channel analysis report."""
    total = len(dns_f) + len(icmp_f) + len(http_f) + len(proto_f)
    return {
        "pcap_file": pcap_path, "total_findings": total,
        "dns_tunneling": {"count": len(dns_f), "findings": dns_f[:10]},
        "dns_volume_anomalies": dns_v[:10],
        "icmp_covert": {"count": len(icmp_f), "findings": icmp_f[:10]},
        "http_header_covert": {"count": len(http_f), "findings": http_f[:10]},
        "protocol_anomalies": {"count": len(proto_f), "findings": proto_f[:10]},
        "risk_level": "HIGH" if total > 10 else "MEDIUM" if total > 3 else "LOW",
    }


if __name__ == "__main__":
    print("=" * 60)
    print("Network Covert Channel Detection Agent")
    print("DNS tunneling, ICMP covert, HTTP header, protocol abuse")
    print("=" * 60)

    pcap = sys.argv[1] if len(sys.argv) > 1 else None
    if not pcap or not os.path.exists(pcap):
        print("\n[DEMO] Usage: python agent.py <capture.pcap>")
        print(f"  scapy available: {HAS_SCAPY}")
        sys.exit(0)
    if not HAS_SCAPY:
        print("[!] Install scapy: pip install scapy")
        sys.exit(1)

    print(f"\n[*] Loading: {pcap}")
    packets = rdpcap(pcap)
    print(f"[*] Packets: {len(packets)}")

    dns_f, dns_v = detect_dns_tunneling(packets)
    icmp_f = detect_icmp_covert_channel(packets)
    http_f = detect_http_header_covert(packets)
    proto_f = detect_protocol_anomalies(packets)
    report = generate_report(pcap, dns_f, dns_v, icmp_f, http_f, proto_f)

    print(f"\n--- DNS Tunneling ({len(dns_f)}) ---")
    for f in dns_f[:5]:
        print(f"  {f['src']} | entropy={f['entropy']} | {f['query'][:60]}")
    print(f"\n--- ICMP Covert ({len(icmp_f)}) ---")
    for f in icmp_f[:5]:
        print(f"  {f.get('flow', f.get('src','?'))} | {f.get('payload_size', f.get('total_bytes','?'))}B")
    print(f"\n[*] Risk: {report['risk_level']}")
    print(json.dumps(report, indent=2, default=str))