noisedestroyers
5c2cb1a4ed
Major Features: - Complete modern TUI interface with three focused views - Enhanced multi-column layout: Source | Proto | Destination | Extended | Frame Type | Metrics - Simplified navigation with 1/2/3 hotkeys instead of F1/F2/F3 - Protocol hierarchy: Transport (TCP/UDP) → Extended (CH10/PTP) → Frame Types - Classic TUI preserved with --classic flag Views Implemented: 1. Flow Analysis View: Enhanced multi-column flow overview with protocol detection 2. Packet Decoder View: Three-panel deep inspection (Flows | Frames | Fields) 3. Statistical Analysis View: Four analysis modes with timing and quality metrics Technical Improvements: - Left-aligned text columns with IP:port precision - Transport protocol separation from extended protocols - Frame type identification (CH10-Data, TMATS, PTP Sync) - Cross-view communication with persistent flow selection - Context-sensitive help and status bars - Comprehensive error handling with console fallback
368 lines
15 KiB
Python
368 lines
15 KiB
Python
"""
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Main entry point for the Ethernet Traffic Analyzer
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"""
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import sys
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import time
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import threading
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import argparse
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import curses
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from .analysis import EthernetAnalyzer
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from .tui import TUIInterface
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from .tui.modern_interface import ModernTUIInterface
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from .utils import PCAPLoader, LiveCapture
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def main():
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"""Main entry point"""
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parser = argparse.ArgumentParser(description='Ethernet Traffic Analyzer')
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parser.add_argument('--pcap', '-p', help='PCAP file to analyze')
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parser.add_argument('--live', '-l', action='store_true', help='Start live capture')
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parser.add_argument('--interface', '-i', help='Network interface for live capture')
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parser.add_argument('--filter', '-f', help='BPF filter for live capture')
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parser.add_argument('--no-tui', action='store_true', help='Disable TUI, print to console')
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parser.add_argument('--info', action='store_true', help='Show PCAP file information only')
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parser.add_argument('--outlier-threshold', type=float, default=3.0,
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help='Outlier detection threshold in standard deviations (default: 3.0)')
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parser.add_argument('--report', action='store_true',
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help='Generate comprehensive outlier report and exit (no TUI)')
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parser.add_argument('--gui', action='store_true',
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help='Launch GUI mode (requires PySide6)')
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parser.add_argument('--classic', action='store_true',
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help='Use classic TUI interface')
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args = parser.parse_args()
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# Handle GUI mode
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if args.gui:
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launch_gui(args)
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return
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if not args.pcap and not args.live:
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print("Error: Must specify either --pcap file or --live capture")
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sys.exit(1)
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# Create analyzer - enable real-time stats for live capture
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enable_realtime = args.live
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analyzer = EthernetAnalyzer(enable_realtime=enable_realtime, outlier_threshold_sigma=args.outlier_threshold)
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# Handle PCAP info mode
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if args.info and args.pcap:
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print("Analyzing PCAP file information...")
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info = PCAPLoader.get_file_info(args.pcap)
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if 'error' in info:
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print(f"Error: {info['error']}")
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sys.exit(1)
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print(f"\n=== PCAP FILE INFORMATION ===")
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print(f"File: {info['file_path']}")
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print(f"Packets: {info['packet_count']:,}")
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print(f"Total bytes: {info['total_bytes']:,}")
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print(f"Duration: {info['duration_seconds']:.2f} seconds")
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print(f"Average packet rate: {info['avg_packet_rate']:.1f} packets/sec")
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if info['first_timestamp']:
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import datetime
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first_time = datetime.datetime.fromtimestamp(info['first_timestamp'])
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last_time = datetime.datetime.fromtimestamp(info['last_timestamp'])
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print(f"First packet: {first_time}")
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print(f"Last packet: {last_time}")
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return
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# Load PCAP file
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if args.pcap:
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try:
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loader = PCAPLoader(args.pcap)
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if not loader.validate_file():
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print(f"Error: Invalid or inaccessible PCAP file: {args.pcap}")
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sys.exit(1)
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packets = loader.load_all()
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analyzer.all_packets = packets
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print(f"Loaded {len(packets)} packets")
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# Process packets
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for i, packet in enumerate(packets, 1):
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analyzer._process_single_packet(packet, i)
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analyzer.calculate_statistics()
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except Exception as e:
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print(f"Error loading PCAP file: {e}")
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sys.exit(1)
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# Handle console output mode
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if args.no_tui:
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print_console_results(analyzer)
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return
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# Handle report mode
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if args.report:
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generate_outlier_report(analyzer, args.outlier_threshold)
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return
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# TUI mode - choose between classic and modern interface
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if args.classic:
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tui = TUIInterface(analyzer)
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else:
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tui = ModernTUIInterface(analyzer)
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if args.live:
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# Start live capture
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capture = LiveCapture(args.interface, args.filter)
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def packet_handler(packet, frame_num):
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analyzer.all_packets.append(packet)
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analyzer._process_single_packet(packet, frame_num)
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capture.add_packet_handler(packet_handler)
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try:
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capture.start_capture(threaded=True)
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analyzer.is_live = True
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print("Starting live capture with real-time statistics enabled...")
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print("TUI will update every 0.5 seconds with running averages and outlier detection")
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# Give capture a moment to start
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time.sleep(1)
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# Run TUI with error handling
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try:
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curses.wrapper(tui.run)
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except curses.error as e:
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print(f"\nTUI error: {e}")
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print("Falling back to console mode...")
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print_console_results(analyzer)
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except KeyboardInterrupt:
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print("\nCapture interrupted by user")
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finally:
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capture.stop_capture()
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else:
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# PCAP analysis mode
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try:
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try:
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curses.wrapper(tui.run)
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except curses.error as e:
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print(f"\nTUI error: {e}")
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print("Terminal doesn't support curses. Falling back to console mode...")
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print_console_results(analyzer)
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except KeyboardInterrupt:
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print("\nAnalysis interrupted by user")
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def print_console_results(analyzer: EthernetAnalyzer):
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"""Print analysis results to console"""
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summary = analyzer.get_summary()
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print(f"\n=== ETHERNET TRAFFIC ANALYSIS RESULTS ===")
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print(f"Total Packets: {summary['total_packets']}")
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print(f"Unique IP Flows: {summary['unique_flows']}")
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print(f"Unique IP Addresses: {summary['unique_ips']}")
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# Show summary statistics
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stats = analyzer.get_summary_statistics()
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if stats:
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print(f"\n=== SUMMARY STATISTICS ===")
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print(f"Overall Avg Inter-arrival: {stats.get('overall_avg_inter_arrival', 0):.6f}s")
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print(f"Overall Std Deviation: {stats.get('overall_std_inter_arrival', 0):.6f}s")
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print(f"Total Outliers: {stats.get('total_outliers', 0)}")
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print(f"Outlier Percentage: {stats.get('outlier_percentage', 0):.2f}%")
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# Show real-time statistics if enabled
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if analyzer.statistics_engine.enable_realtime:
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rt_stats = analyzer.statistics_engine.get_realtime_summary()
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if rt_stats:
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print(f"\n=== REAL-TIME STATISTICS ===")
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print(f"Real-time Mode: {rt_stats.get('realtime_enabled', False)}")
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print(f"Tracked Flows: {rt_stats.get('tracked_flows', 0)}")
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print(f"Update Frequency: {rt_stats.get('update_frequency', 'N/A')}")
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print(f"\n=== FLOW STATISTICS ===")
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flows_sorted = sorted(summary['flows'].values(), key=lambda x: (
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analyzer.statistics_engine.get_max_sigma_deviation(x),
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x.frame_count
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), reverse=True)
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for flow in flows_sorted:
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max_sigma = analyzer.statistics_engine.get_max_sigma_deviation(flow)
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print(f"\nFlow: {flow.src_ip} -> {flow.dst_ip}")
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print(f" Packets: {flow.frame_count}")
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print(f" Total Bytes: {flow.total_bytes:,}")
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print(f" Max Sigma Deviation: {max_sigma:.2f}σ")
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print(f" Protocols: {', '.join(flow.protocols)}")
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if flow.detected_protocol_types:
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print(f" Enhanced Protocols: {', '.join(flow.detected_protocol_types)}")
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if flow.avg_inter_arrival > 0:
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print(f" Avg Inter-arrival: {flow.avg_inter_arrival:.6f}s")
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print(f" Std Deviation: {flow.std_inter_arrival:.6f}s")
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if flow.outlier_frames:
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print(f" Outlier Frames: {flow.outlier_frames}")
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# Show frame type breakdown
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if flow.frame_types:
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print(f" Frame Types:")
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for frame_type, ft_stats in flow.frame_types.items():
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avg_str = f"{ft_stats.avg_inter_arrival:.3f}s" if ft_stats.avg_inter_arrival > 0 else "N/A"
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print(f" {frame_type}: {ft_stats.count} packets, avg {avg_str}")
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# Show high jitter flows
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high_jitter = analyzer.get_high_jitter_flows()
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if high_jitter:
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print(f"\n=== HIGH JITTER FLOWS ===")
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for flow in high_jitter[:5]: # Show top 5
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cv = flow.std_inter_arrival / flow.avg_inter_arrival if flow.avg_inter_arrival > 0 else 0
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print(f"{flow.src_ip} -> {flow.dst_ip}: CV = {cv:.3f}")
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def generate_outlier_report(analyzer: EthernetAnalyzer, threshold_sigma: float):
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"""Generate comprehensive outlier report without TUI"""
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summary = analyzer.get_summary()
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print("=" * 80)
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print("COMPREHENSIVE OUTLIER ANALYSIS REPORT")
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print("=" * 80)
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# Analysis parameters
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print(f"Outlier Detection Threshold: {threshold_sigma}σ (sigma)")
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print(f"Total Packets Analyzed: {summary['total_packets']:,}")
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print(f"Unique IP Flows: {summary['unique_flows']}")
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print(f"Unique IP Addresses: {summary['unique_ips']}")
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# Overall statistics
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stats = analyzer.get_summary_statistics()
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if stats:
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print(f"\nOVERALL TIMING STATISTICS:")
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print(f" Average Inter-arrival Time: {stats.get('overall_avg_inter_arrival', 0):.6f}s")
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print(f" Standard Deviation: {stats.get('overall_std_inter_arrival', 0):.6f}s")
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print(f" Total Outlier Frames: {stats.get('total_outliers', 0)}")
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print(f" Outlier Percentage: {stats.get('outlier_percentage', 0):.2f}%")
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print("\n" + "=" * 80)
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print("DETAILED FLOW ANALYSIS")
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print("=" * 80)
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flows_sorted = sorted(summary['flows'].values(), key=lambda x: (
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analyzer.statistics_engine.get_max_sigma_deviation(x),
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x.frame_count
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), reverse=True)
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for flow_idx, flow in enumerate(flows_sorted, 1):
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max_sigma = analyzer.statistics_engine.get_max_sigma_deviation(flow)
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print(f"\n[FLOW {flow_idx}] {flow.src_ip} -> {flow.dst_ip}")
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print("-" * 60)
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# Flow summary
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print(f"Total Packets: {flow.frame_count:,}")
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print(f"Total Bytes: {flow.total_bytes:,}")
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print(f"Max Sigma Deviation: {max_sigma:.2f}σ")
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print(f"Protocols: {', '.join(flow.protocols)}")
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if flow.detected_protocol_types:
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print(f"Enhanced Protocols: {', '.join(flow.detected_protocol_types)}")
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# Flow timing statistics
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if flow.avg_inter_arrival > 0:
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print(f"Flow Timing:")
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print(f" Average Inter-arrival: {flow.avg_inter_arrival:.6f}s")
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print(f" Standard Deviation: {flow.std_inter_arrival:.6f}s")
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print(f" Outlier Threshold: {flow.avg_inter_arrival + (threshold_sigma * flow.std_inter_arrival):.6f}s")
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print(f" Flow-level Outliers: {len(flow.outlier_details)}")
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# Frame type analysis
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if flow.frame_types:
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print(f"\nFrame Type Breakdown:")
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print(f" {'Type':<15} {'Count':<8} {'Avg ΔT':<12} {'Std Dev':<12} {'Out':<6} {'Out %':<8}")
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print(f" {'-' * 15} {'-' * 8} {'-' * 12} {'-' * 12} {'-' * 6} {'-' * 8}")
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sorted_frame_types = sorted(flow.frame_types.items(),
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key=lambda x: x[1].count, reverse=True)
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for frame_type, ft_stats in sorted_frame_types:
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outlier_count = len(ft_stats.outlier_details)
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outlier_pct = (outlier_count / ft_stats.count * 100) if ft_stats.count > 0 else 0
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avg_str = f"{ft_stats.avg_inter_arrival:.6f}s" if ft_stats.avg_inter_arrival > 0 else "N/A"
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std_str = f"{ft_stats.std_inter_arrival:.6f}s" if ft_stats.std_inter_arrival > 0 else "N/A"
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print(f" {frame_type:<15} {ft_stats.count:<8} {avg_str:<12} {std_str:<12} {outlier_count:<6} {outlier_pct:<7.1f}%")
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# Detailed outlier frames
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has_outliers = any(ft_stats.outlier_details for ft_stats in flow.frame_types.values())
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if has_outliers:
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print(f"\nOutlier Frame Details:")
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for frame_type, ft_stats in flow.frame_types.items():
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if ft_stats.outlier_details:
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print(f"\n {frame_type} Outliers ({len(ft_stats.outlier_details)} frames):")
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if ft_stats.avg_inter_arrival > 0:
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threshold = ft_stats.avg_inter_arrival + (threshold_sigma * ft_stats.std_inter_arrival)
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print(f" Threshold: {threshold:.6f}s (>{threshold_sigma}σ from mean {ft_stats.avg_inter_arrival:.6f}s)")
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print(f" {'Frame#':<10} {'Inter-arrival':<15} {'Deviation':<12}")
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print(f" {'-' * 10} {'-' * 15} {'-' * 12}")
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for frame_num, inter_arrival_time in ft_stats.outlier_details:
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if ft_stats.avg_inter_arrival > 0:
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deviation = inter_arrival_time - ft_stats.avg_inter_arrival
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sigma_dev = deviation / ft_stats.std_inter_arrival if ft_stats.std_inter_arrival > 0 else 0
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dev_str = f"+{sigma_dev:.1f}σ"
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else:
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dev_str = "N/A"
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print(f" {frame_num:<10} {inter_arrival_time:.6f}s{'':<3} {dev_str:<12}")
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# High jitter flows summary
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high_jitter = analyzer.get_high_jitter_flows()
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if high_jitter:
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print(f"\n" + "=" * 80)
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print("HIGH JITTER FLOWS (Coefficient of Variation > 0.1)")
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print("=" * 80)
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for flow in high_jitter[:10]: # Show top 10
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cv = flow.std_inter_arrival / flow.avg_inter_arrival if flow.avg_inter_arrival > 0 else 0
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print(f"{flow.src_ip} -> {flow.dst_ip}: CV = {cv:.3f}")
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print(f"\n" + "=" * 80)
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print("REPORT COMPLETE")
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print("=" * 80)
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def launch_gui(args):
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"""Launch GUI mode"""
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try:
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from .gui import GUI_AVAILABLE, StreamLensMainWindow
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from PySide6.QtWidgets import QApplication
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if not GUI_AVAILABLE:
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print("Error: PySide6 not available. Please install with: pip install PySide6")
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sys.exit(1)
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# Create QApplication
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app = QApplication(sys.argv)
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app.setApplicationName("StreamLens")
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app.setApplicationDisplayName("StreamLens - Ethernet Traffic Analyzer")
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# Create main window
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window = StreamLensMainWindow()
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window.show()
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# If a PCAP file was specified, load it
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if args.pcap:
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window.load_pcap_file(args.pcap)
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# Start event loop
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sys.exit(app.exec())
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except ImportError as e:
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print(f"Error: GUI dependencies not available: {e}")
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print("Please install PySide6: pip install PySide6")
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sys.exit(1)
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except Exception as e:
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print(f"Error launching GUI: {e}")
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sys.exit(1)
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if __name__ == "__main__":
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main() |