Packet Analysis

class PacketList:
    """
    List container for network packets with analysis methods.
    """
    def __init__(self, res: list = None, name: str = "PacketList"):
        """
        Initialize packet list.
        
        Parameters:
        - res: List of packets
        - name: Name for the packet list
        """
    
    def summary(self, prn: callable = None, lfilter: callable = None) -> None:
        """
        Display summary of packets in the list.
        
        Parameters:
        - prn: Function to generate custom summary for each packet
        - lfilter: Function to filter packets for summary
        """
    
    def show(self, *args, **kwargs) -> None:
        """
        Display detailed information for all packets.
        
        Parameters:
        - *args: Arguments passed to packet.show()
        - **kwargs: Keyword arguments passed to packet.show()
        """
    
    def filter(self, func: callable) -> 'PacketList':
        """
        Filter packets using a custom function.
        
        Parameters:
        - func: Function that takes a packet and returns bool
        
        Returns:
        PacketList: New list with filtered packets
        """
    
    def split(self, func: callable) -> list['PacketList']:
        """
        Split packet list into multiple lists based on a function.
        
        Parameters:
        - func: Function that returns a key for grouping
        
        Returns:
        list[PacketList]: List of packet lists
        """
    
    def plot(self, f: callable = None, lfilter: callable = None, **kwargs):
        """
        Plot packet data using matplotlib.
        
        Parameters:
        - f: Function to extract plot data from packets
        - lfilter: Function to filter packets for plotting
        - **kwargs: Additional plotting arguments
        """
    
    def make_table(self, *args, **kwargs) -> str:
        """
        Create a formatted table from packet data.
        
        Parameters:
        - *args: Column functions or field names
        - **kwargs: Formatting options
        
        Returns:
        str: Formatted table string
        """
    
    def conversations(self, getsrcdst: callable = None) -> dict:
        """
        Extract network conversations from packet list.
        
        Parameters:
        - getsrcdst: Function to extract source/destination from packets
        
        Returns:
        dict: Dictionary of conversations with statistics
        """
    
    def replace(self, *args, **kwargs) -> 'PacketList':
        """
        Replace packet fields with new values.
        
        Parameters:
        - *args: Field replacement specifications
        - **kwargs: Keyword field replacements
        
        Returns:
        PacketList: New list with replaced fields
        """

class SndRcvList(PacketList):
    """
    List of sent/received packet pairs from sr() operations.
    """
    def __init__(self, res: list = None, name: str = "Results"):
        """
        Initialize send/receive list.
        
        Parameters:
        - res: List of (sent, received) packet tuples
        - name: Name for the list
        """
    
    def make_table(self, *args, **kwargs) -> str:
        """
        Create table showing sent vs received packet pairs.
        
        Parameters:
        - *args: Column functions for sent/received packets
        - **kwargs: Formatting options
        
        Returns:
        str: Formatted table string
        """

class QueryAnswer(SndRcvList):
    """
    Query/answer packet pairs with additional analysis methods.
    """

def rdpcap(filename: str, count: int = -1) -> PacketList:
    """
    Read packets from a pcap file.
    
    Parameters:
    - filename: Path to pcap file
    - count: Maximum number of packets to read (-1 for all)
    
    Returns:
    PacketList: Packets read from file
    """

def wrpcap(filename: str, pkt: PacketList, linktype: int = None, 
           gz: bool = False, endianness: str = "=", append: bool = False,
           sync: bool = False) -> None:
    """
    Write packets to a pcap file.
    
    Parameters:
    - filename: Output file path
    - pkt: Packets to write
    - linktype: Data link type for pcap header
    - gz: Compress with gzip
    - endianness: Byte order ("=" native, "<" little, ">" big)
    - append: Append to existing file
    - sync: Sync to disk after each packet
    """

def rdpcapng(filename: str) -> PacketList:
    """
    Read packets from a pcapng file.
    
    Parameters:
    - filename: Path to pcapng file
    
    Returns:
    PacketList: Packets read from file
    """

def wrpcapng(filename: str, pkt: PacketList, **kwargs) -> None:
    """
    Write packets to a pcapng file.
    
    Parameters:
    - filename: Output file path
    - pkt: Packets to write
    - **kwargs: Additional options
    """

class PcapReader:
    """
    Iterator for reading large pcap files efficiently.
    """
    def __init__(self, filename: str):
        """
        Initialize pcap reader.
        
        Parameters:
        - filename: Path to pcap file
        """
    
    def __iter__(self):
        """Return iterator."""
    
    def __next__(self) -> Packet:
        """Get next packet from file."""
    
    def close(self) -> None:
        """Close the file."""

class PcapWriter:
    """
    Writer for creating pcap files incrementally.
    """
    def __init__(self, filename: str, append: bool = False, sync: bool = False):
        """
        Initialize pcap writer.
        
        Parameters:
        - filename: Output file path
        - append: Append to existing file
        - sync: Sync after each write
        """
    
    def write(self, pkt: Packet) -> None:
        """
        Write a packet to the file.
        
        Parameters:
        - pkt: Packet to write
        """
    
    def close(self) -> None:
        """Close the file."""

def traceroute(target: str, dport: int = 80, minttl: int = 1, maxttl: int = 30,
               timeout: float = 2, verbose: int = None, **kwargs) -> TracerouteResult:
    """
    Perform traceroute to a target.
    
    Parameters:
    - target: Target IP address or hostname
    - dport: Destination port
    - minttl: Minimum TTL value
    - maxttl: Maximum TTL value
    - timeout: Timeout per hop
    - verbose: Verbosity level
    - **kwargs: Additional arguments
    
    Returns:
    TracerouteResult: Traceroute results with hop information
    """

class TracerouteResult:
    """
    Container for traceroute results with analysis methods.
    """
    def show(self) -> None:
        """Display traceroute results."""
    
    def graph(self, **kwargs):
        """Generate graph visualization of the route."""
    
    def world_trace(self) -> None:
        """Show route on world map."""

def arping(net: str, timeout: float = 2, cache: bool = 0, verbose: int = None,
           **kwargs) -> tuple[SndRcvList, PacketList]:
    """
    Send ARP requests to discover hosts on network.
    
    Parameters:
    - net: Network address (e.g., "192.168.1.0/24")
    - timeout: Timeout for responses
    - cache: Use ARP cache
    - verbose: Verbosity level
    - **kwargs: Additional arguments
    
    Returns:
    tuple: (answered_requests, unanswered_requests)
    """

def arpcachepoison(target: str, victim: str, interval: float = 60) -> None:
    """
    Perform ARP cache poisoning attack.
    
    Parameters:
    - target: Target IP address
    - victim: Victim IP address  
    - interval: Poisoning interval in seconds
    """

class DefaultSession:
    """
    Default session for basic packet processing.
    """
    def on_packet_received(self, pkt: Packet) -> Packet:
        """Process received packet."""

class TCPSession:
    """
    TCP session reconstruction and stream following.
    """
    def __init__(self):
        """Initialize TCP session tracker."""
    
    def process(self, pkt: Packet) -> None:
        """Process a packet for session reconstruction."""
    
    def get_sessions(self) -> dict:
        """Get reconstructed TCP sessions."""

class IPSession:
    """
    IP-level session management and defragmentation.
    """
    def __init__(self):
        """Initialize IP session tracker."""

def conversations(pkts: PacketList, getsrcdst: callable = None) -> dict:
    """
    Extract conversations from packet list.
    
    Parameters:  
    - pkts: Packet list to analyze
    - getsrcdst: Function to extract source/destination
    
    Returns:
    dict: Conversation statistics
    """

def sessions(pkts: PacketList) -> dict:
    """
    Extract session information from packets.
    
    Parameters:
    - pkts: Packet list to analyze
    
    Returns:
    dict: Session statistics
    """

def protocols(pkts: PacketList) -> dict:
    """
    Analyze protocol distribution in packet list.
    
    Parameters:
    - pkts: Packet list to analyze
    
    Returns:
    dict: Protocol statistics
    """

# Common filter functions for packet analysis
lambda_filters = {
    "tcp": lambda pkt: pkt.haslayer(TCP),
    "udp": lambda pkt: pkt.haslayer(UDP), 
    "icmp": lambda pkt: pkt.haslayer(ICMP),
    "dns": lambda pkt: pkt.haslayer(DNS),
    "http": lambda pkt: pkt.haslayer(TCP) and (pkt[TCP].dport == 80 or pkt[TCP].sport == 80),
    "https": lambda pkt: pkt.haslayer(TCP) and (pkt[TCP].dport == 443 or pkt[TCP].sport == 443),
}

from scapy.all import *

# Read packets from file
packets = rdpcap("capture.pcap")
print(f"Loaded {len(packets)} packets")

# Display packet summaries
packets.summary()

# Filter for TCP packets only
tcp_packets = packets.filter(lambda pkt: pkt.haslayer(TCP))
print(f"Found {len(tcp_packets)} TCP packets")

# Show detailed view of first 5 packets
tcp_packets[:5].show()

# Analyze conversations in capture
conversations = packets.conversations()
for conv, stats in conversations.items():
    print(f"Conversation {conv}: {stats['packets']} packets, {stats['bytes']} bytes")

# Create summary table
table = packets.make_table(
    lambda pkt: pkt[IP].src if pkt.haslayer(IP) else "N/A",
    lambda pkt: pkt[IP].dst if pkt.haslayer(IP) else "N/A", 
    lambda pkt: pkt[IP].proto if pkt.haslayer(IP) else "N/A"
)
print(table)

# Plot packet sizes over time
packets.plot(lambda pkt: len(pkt), title="Packet Sizes Over Time")

# ARP scan of local network
answered, unanswered = arping("192.168.1.0/24")
print("Live hosts:")
for sent, received in answered:
    print(f"  {received.psrc} -> {received.hwsrc}")

# Traceroute to target
trace_result = traceroute("8.8.8.8")
trace_result.show()

# DNS enumeration
dns_queries = [IP(dst="8.8.8.8")/UDP(dport=53)/DNS(rd=1, qd=DNSQR(qname=f"{word}.example.com"))
               for word in ["www", "mail", "ftp", "admin", "test"]]
answered, unanswered = sr(dns_queries, timeout=2, verbose=0)

# Process large pcap files efficiently
with PcapReader("large_capture.pcap") as reader:
    tcp_count = 0
    udp_count = 0
    
    for packet in reader:
        if packet.haslayer(TCP):
            tcp_count += 1
        elif packet.haslayer(UDP):
            udp_count += 1
        
        if (tcp_count + udp_count) % 1000 == 0:
            print(f"Processed {tcp_count + udp_count} packets")

print(f"Final counts: TCP={tcp_count}, UDP={udp_count}")

# Create filtered capture file
web_traffic = packets.filter(lambda pkt: pkt.haslayer(TCP) and 
                            (pkt[TCP].dport in [80, 443] or pkt[TCP].sport in [80, 443]))
wrpcap("web_traffic.pcap", web_traffic)

# TCP session reconstruction
sessions = {}
for pkt in packets.filter(lambda p: p.haslayer(TCP)):
    if pkt.haslayer(IP):
        session_key = (pkt[IP].src, pkt[TCP].sport, pkt[IP].dst, pkt[TCP].dport)
        if session_key not in sessions:
            sessions[session_key] = []
        sessions[session_key].append(pkt)

# Analyze each session
for session_key, session_packets in sessions.items():
    src_ip, src_port, dst_ip, dst_port = session_key
    print(f"Session {src_ip}:{src_port} -> {dst_ip}:{dst_port}")
    print(f"  Packets: {len(session_packets)}")
    print(f"  Duration: {session_packets[-1].time - session_packets[0].time:.2f}s")

# Protocol distribution analysis
protocols = {}
for pkt in packets:
    if pkt.haslayer(IP):
        proto = pkt[IP].proto
        proto_name = {1: "ICMP", 6: "TCP", 17: "UDP"}.get(proto, f"Proto-{proto}")
        protocols[proto_name] = protocols.get(proto_name, 0) + 1

print("Protocol distribution:")
for proto, count in sorted(protocols.items(), key=lambda x: x[1], reverse=True):
    print(f"  {proto}: {count} packets")

# Plot traffic over time
import matplotlib.pyplot as plt

timestamps = [float(pkt.time) for pkt in packets]
start_time = min(timestamps)
relative_times = [(t - start_time) for t in timestamps]

plt.figure(figsize=(12, 6))
plt.hist(relative_times, bins=50, alpha=0.7)
plt.xlabel("Time (seconds)")
plt.ylabel("Packet count")
plt.title("Traffic Distribution Over Time")
plt.show()

# Generate traffic report
def generate_report(packets):
    report = []
    report.append(f"Traffic Analysis Report")
    report.append(f"=" * 30)
    report.append(f"Total packets: {len(packets)}")
    
    # Protocol breakdown
    proto_counts = {}
    for pkt in packets:
        if pkt.haslayer(IP):
            proto = {1: "ICMP", 6: "TCP", 17: "UDP"}.get(pkt[IP].proto, "Other")
            proto_counts[proto] = proto_counts.get(proto, 0) + 1
    
    report.append("\\nProtocol Distribution:")
    for proto, count in proto_counts.items():
        pct = (count / len(packets)) * 100
        report.append(f"  {proto}: {count} packets ({pct:.1f}%)")
    
    return "\\n".join(report)

print(generate_report(packets))