wifilyzer 5.1.0

Complete WiFi 4/5/6/7 packet analysis platform

WiFi Feature Detector

Complete WiFi 4/5/6/7 Analysis Platform - Comprehensive packet analysis with 24 detection categories including security threats, beamforming, RRM features, QoS, power management, bandwidth analysis, and more.

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Table of Contents

• Quick Start
• What's New in v5.1
• Installation
• Usage
• Analysis Capabilities
• Use Cases
• Wireshark Filters
• Architecture
• Sample Output
• Performance
• Troubleshooting
• Contributing

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Quick Start

# Install dependencies
pip install scapy>=2.5.0

# Analyze a PCAP file
python wifilyzer.py capture.pcap

# View the report
cat capture_analysis_YYYYMMDD_HHMMSS.txt

Output:

• Text report: 700+ lines with 24 comprehensive sections
• JSON report: Complete structured data for programmatic access

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What's New in v5.1

🆕 NEW: Bandwidth & Throughput Analysis (Section 24)

Per-Client Analysis:

• Total data volume (bytes/KB/MB) per WiFi client
• TX/RX bandwidth (uplink/downlink separation)
• Average throughput (Kbps/Mbps) per client
• Data rate distribution (min/max/avg)
• MCS (Modulation and Coding Scheme) values
• Packet size statistics
• Associated APs tracking

Per-AP Analysis:

• Total bandwidth per Access Point
• TX/RX traffic separation
• Connected client count and list
• SSID and channel identification
• Average throughput metrics
• Data rate statistics

Application/Protocol Traffic Identification:

• Video Streaming: YouTube, Netflix, Hulu, Amazon Prime, Disney+, HBO, Twitch, TikTok
• Social Media: Facebook, Instagram, Twitter, Snapchat, WhatsApp, Telegram
• VoIP/Conferencing: Zoom, Skype, Teams, WebEx, Google Meet, Discord, Slack
• Voice: SIP, RTP, RTSP protocols
• Gaming: Xbox Live, PlayStation Network
• File Transfer: FTP, SFTP, SMB
• Email: SMTP, POP3, IMAP
• Port-based identification (HTTP/HTTPS, DNS, DHCP, etc.)
• TLS SNI (Server Name Indication) domain extraction
• QUIC protocol detection

Traffic Direction Analysis:

• Uplink traffic (Client → AP)
• Downlink traffic (AP → Client)
• Peer-to-peer/WDS traffic
• Percentage distribution by bytes and packets

Protocol Distribution:

• TCP, UDP, ICMP, ARP, DNS, DHCP, EAPOL breakdown
• Bandwidth consumption per protocol
• Packet count per protocol

Multicast/Broadcast Traffic Analysis:

• Multicast group detection and tracking
• IGMP (Internet Group Management Protocol) activity monitoring
• Per-client multicast bandwidth and throughput
• Video streaming multicast identification (RTP/UDP)
• Multicast group membership (joins/leaves)
• Broadcast traffic measurement
• Per-group statistics (clients, throughput, data volume)
• Streaming group identification and analysis

Use Cases:

• Identify bandwidth-heavy clients
• Detect which applications consume most bandwidth
• Monitor per-AP load and throughput
• Analyze traffic patterns for capacity planning
• Identify streaming vs. background traffic
• QoS troubleshooting and optimization
• Monitor IPTV and multicast video delivery
• Track multicast group membership
• Measure per-client multicast streaming performance
• Identify multicast bandwidth consumption

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🎯 8 New Advanced Detection Modules (v5.0)

Medium Priority Features:

1. Beamforming Analysis - NDPA/NDP frames, MU-MIMO grouping, sounding frequency
2. Spatial Reuse (BSS Coloring) - WiFi 6 color detection, OBSS PD, collision detection
3. Channel Interference - Co-channel, hidden nodes, retry analysis, noise floor
4. Client Capabilities - WiFi generation, vendor ID (40+ OUIs), capability mismatches

High Priority Features: 5. Security Analysis - Deauth attacks, rogue APs, evil twins, weak encryption, KRACK indicators 6. RRM Features (802.11k/v/r) - Radio management, BSS transition, fast roaming 7. QoS & WMM - Traffic prioritization, EDCA, frame aggregation, AC distribution 8. Power Save - Legacy PS, U-APSD, TWT (WiFi 6), power management tracking

🏗️ Key Improvements

• ✅ 23 analysis sections
• ✅ Modular architecture with 5 external detection modules
• ✅ 748-line reports with detailed insights
• ✅ Complete security threat detection suite
• ✅ RRM optimization analysis (802.11k/v/r)
• ✅ Power management analysis (including WiFi 6 TWT)

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Installation

Requirements

• Python 3.13 or higher
• Scapy 2.5.0 or higher
• WiFi adapter with monitor mode support (for captures)

Setup

# Clone the repository
git clone <repository-url>
cd wifi-scripts

# Install Scapy
pip install scapy>=2.5.0

# Verify installation
python wifilyzer.py --help

Capturing WiFi Traffic

Linux (with monitor mode):

# Enable monitor mode
sudo airmon-ng start wlan0

# Capture packets
sudo tshark -i wlan0mon -w capture.pcap

# Analyze
python wifilyzer.py capture.pcap

Windows (with compatible adapter):

# Capture with tshark (Wireshark)
tshark -i "Wi-Fi" -w capture.pcap

# Analyze
python wifi6_feature_detector.py capture.pcap

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Usage

Basic Analysis

python wifilyzer.py capture.pcap

Advanced Capture Filtering

# Security monitoring (management frames only)
tshark -i wlan0 -f "wlan type mgt" -w security.pcap

# Beamforming analysis (control frames)
tshark -i wlan0 -f "wlan type ctl" -w beamform.pcap

# QoS analysis (data frames)
tshark -i wlan0 -f "wlan type data" -w qos.pcap

# RRM features (action frames)
tshark -i wlan0 -f "wlan type mgt subtype action" -w rrm.pcap

Automated Testing Script

#!/bin/bash
INTERFACE="wlan0mon"
DURATION=60
OUTPUT="test_$(date +%Y%m%d_%H%M%S).pcap"

# Capture WiFi traffic
timeout $DURATION tshark -i $INTERFACE -w $OUTPUT

# Run analysis
python wifilyzer.py $OUTPUT

# Check for security issues
grep -E "ATTACK|WEAK|ROGUE" ${OUTPUT%.pcap}_analysis_*.txt

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Analysis Capabilities

Complete Feature Set (24 Sections)

Core Analysis (Sections 1-15)

1. File Information - PCAP metadata, packet counts, duration
2. WiFi Generation Detection - WiFi 4/5/6/7 identification
3. WiFi 6 Features - HE capabilities, BSS Color, TWT, OFDMA
4. Channel & PHY Layer - Channel usage, widths, frequency
5. Data Rates & Throughput - MCS rates, throughput calculation
6. Spatial Streams (MIMO) - MIMO configuration, stream counts
7. Network Topology - APs and clients identification
8. Management Frames - Beacons, probes, auth, assoc
9. Security Configuration - Encryption types, authentication
10. WiFi 7 Features - EHT capabilities, MLO, 320MHz channels
11. Roaming Analysis - Handoff detection, reassociation
12. DFS Channels - Radar detection, DFS compliance
13. Auto Channel Selection - Channel switching, optimization
14. Airtime Fairness - Client airtime distribution
15. Issues & Recommendations - Problems detected, suggestions

⭐ Advanced Features (Sections 16-24)

16. Beamforming Analysis

• Explicit/Implicit beamforming detection
• NDPA (Null Data Packet Announcement) frame analysis
• NDP (Null Data Packet) detection
• MU-MIMO grouping indicators
• Sounding frequency calculation
• SU/MU beamformer capabilities (VHT/HE)

17. Spatial Reuse (BSS Coloring)

• BSS Color detection (WiFi 6 feature)
• Spatial Reuse Parameter Set analysis
• OBSS PD (Overlapping BSS Packet Detect) thresholds
• Color collision identification
• Per-AP color tracking

18. Channel Interference

• Co-channel interference detection (multiple APs, same channel)
• Adjacent channel conflicts (±1, ±5 channel overlap)
• Hidden node detection (RTS/CTS frame ratio analysis)
• Noise floor measurement (from RadioTap)
• Retry rate analysis per client

19. Client Capabilities

• WiFi generation per client (WiFi 4/5/6/7)
• OUI-based vendor identification (40+ vendors: Apple, Intel, Cisco, Samsung, etc.)
• Capability mismatch detection (WiFi 6 client on WiFi 7 AP)
• PHY rate distribution analysis
• HT/VHT/HE/EHT capability parsing

20. 🔒 Security Analysis

• Attack Detection:
  • Deauthentication attacks (threshold: ≥10 frames)
  • Disassociation attacks
  • KRACK vulnerability indicators (EAPOL replay)
• Rogue Device Detection:
  • Rogue AP identification (multiple BSSIDs per SSID)
  • Evil twin detection (same SSID, different encryption/BSSID)
• Encryption Analysis:
  • WEP network detection (critical vulnerability)
  • Weak encryption alerts (WPA1)
  • Open network identification
  • RSN IE and WPA IE parsing

21. 🔄 RRM Features (802.11k/v/r)

• 802.11k (Radio Resource Management):
  • RRM Enabled Capabilities IE detection
  • Neighbor Report Request/Response
  • Beacon Report Request/Response
  • Radio Measurement action frames
• 802.11v (BSS Transition Management):
  • Extended Capabilities IE parsing
  • WNM action frames detection
  • BSS Transition Management Request/Response
• 802.11r (Fast Transition):
  • Mobility Domain IE detection
  • Fast BSS Transition IE parsing
  • FT Authentication (algorithm 2)
  • FT Reassociation tracking
• Client Steering: AP-directed client movement
• Load Balancing: Client distribution optimization

22. ⚡QoS & WMM Analysis

• QoS Detection:
  • QoS Data frame identification (type=2, QoS bit)
  • WMM/QoS capability parsing
• Access Category Distribution:
  • VO (Voice): TID 6,7 - Highest priority
  • VI (Video): TID 4,5 - High priority
  • BE (Best Effort): TID 0,3 - Normal priority
  • BK (Background): TID 1,2 - Lowest priority
• EDCA Parameters:
  • AIFSN (Arbitration Inter-Frame Space Number)
  • CWmin/CWmax (Contention Window)
  • TXOP (Transmission Opportunity)
• TSPEC: Traffic specification detection
• Frame Aggregation:
  • A-MPDU (Aggregated MAC Protocol Data Unit)
  • A-MSDU (Aggregated MAC Service Data Unit)
• Retry Analysis: Per-AC retry rates

23. 🔋Power Save Features

• Legacy Power Save:
  • PS-Poll frames (type=1, subtype=0x0a)
  • TIM IE (Traffic Indication Map, ID 5)
  • DTIM (Delivery TIM) broadcast tracking
• U-APSD (Unscheduled APSD):
  • WMM Info Element detection
  • U-APSD bit parsing
  • Trigger-enabled ACs
• TWT (Target Wake Time - WiFi 6):
  • TWT IE detection (ID 255, Ext 216)
  • TWT agreements tracking
  • Protected HE action frames (category 22)
  • Individual/Broadcast TWT sessions
• Power Management:
  • Power Management bit tracking (FCfield & 0x10)
  • Clients in power save mode
  • Power efficiency calculation

24. 📊 Bandwidth & Throughput Analysis

• Per-Client Metrics:
  • Total data volume (bytes/KB/MB)
  • TX/RX bandwidth separation (uplink/downlink)
  • Average throughput (Kbps/Mbps)
  • Data rate distribution (min/max/avg)
  • MCS values and packet size statistics
  • Associated APs tracking
• Per-AP Metrics:
  • Total bandwidth per Access Point
  • TX/RX traffic analysis
  • Connected client count and identification
  • SSID, channel, and throughput metrics
• Application/Protocol Identification:
  • Video Streaming (YouTube, Netflix, etc.)
  • Social Media (Facebook, Instagram, etc.)
  • VoIP/Conferencing (Zoom, Teams, etc.)
  • Gaming, File Transfer, Email protocols
  • Port-based and TLS SNI domain analysis
  • QUIC and RTP stream detection
• Traffic Analysis:
  • Uplink/Downlink/P2P separation
  • Protocol distribution (TCP/UDP/etc.)
  • Top bandwidth consumers
  • Application-level traffic breakdown
• Multicast/Broadcast Analysis:
  • Multicast group detection and tracking
  • IGMP membership monitoring (joins/leaves/queries)
  • Per-client multicast bandwidth and throughput
  • Video streaming multicast identification
  • Per-group statistics (clients, throughput, sources)
  • Broadcast traffic measurement
  • Streaming group analysis with client counts
  • Average throughput (Kbps/Mbps)
  • Data rate distribution (min/max/avg)
  • MCS values and packet size statistics
  • Associated APs tracking
• Per-AP Metrics:
  • Total bandwidth per Access Point
  • TX/RX traffic analysis
  • Connected client count and identification
  • SSID, channel, and throughput metrics
• Application/Protocol Identification:
  • Video Streaming (YouTube, Netflix, etc.)
  • Social Media (Facebook, Instagram, etc.)
  • VoIP/Conferencing (Zoom, Teams, etc.)
  • Gaming, File Transfer, Email protocols
  • Port-based and TLS SNI domain analysis
  • QUIC and RTP stream detection
• Traffic Analysis:
  • Uplink/Downlink/P2P separation
  • Protocol distribution (TCP/UDP/etc.)
  • Top bandwidth consumers
  • Application-level traffic breakdown

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Use Cases

1. 🔒Security Audit

Command:

python wifilyzer.py audit.pcap
# Check Section 20: Security Analysis

Detects:

• ✅ Deauthentication attacks (≥10 frames = attack)
• ✅ Rogue access points (multiple BSSIDs per SSID)
• ✅ Evil twin networks (same SSID, different encryption)
• ✅ WEP networks (critical vulnerability)
• ✅ Weak encryption (WPA1)
• ✅ Open networks (no encryption)
• ✅ KRACK indicators (EAPOL replay attacks)

Sample Output:

⚠ DEAUTH ATTACK DETECTED!
  Total Deauth Frames: 45
  Attacker: 06:90:4c:00:00:00 (15 frames)

⚠ WEAK ENCRYPTION DETECTED!
  [Critical] NetworkName: WEP

⚠ ROGUE AP INDICATORS!
  SSID 'CoffeeShop': 3 different BSSIDs

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2. WiFi 6/7 Validation

Command:

python wifilyzer.py wifi6_test.pcap
# Check Sections 3, 4, 10, 16, 17, 23

Validates:

• ✅ HE capabilities (WiFi 6)
• ✅ EHT capabilities (WiFi 7)
• ✅ BSS Color implementation
• ✅ TWT (Target Wake Time) support
• ✅ Beamforming capabilities
• ✅ Spatial Reuse parameters
• ✅ OFDMA usage
• ✅ Multi-Link Operation (MLO)

Sample Output:

✓ WiFi 6 Detected: 7,763 packets
  HE Capabilities: Present
  BSS Color: 52
  TWT Agreements: 3
  Beamforming: Detected (7,769 occurrences)
  Spatial Reuse: Enabled

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3. Performance Troubleshooting

Command:

python wifilyzer.py performance.pcap
# Check Sections 18, 22 for interference and QoS

Analyzes:

• ✅ Channel interference (co-channel, adjacent)
• ✅ Hidden nodes (RTS/CTS ratio)
• ✅ Retry rates (per client and AC)
• ✅ QoS/WMM configuration
• ✅ Frame aggregation efficiency
• ✅ Noise floor levels

Sample Output:

⚠ Co-Channel Interference: 9 APs on channel 36
⚠ Hidden Nodes Detected: RTS/CTS ratio 0.98
⚠ High Retry Rate: 44.87%
✓ QoS Detected: WMM enabled
  VO: 120 frames (35%)
  VI: 80 frames (23%)

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4. Roaming Optimization

Command:

python wifilyzer.py roaming.pcap
# Check Sections 11, 21 for roaming and RRM

Evaluates:

• ✅ 802.11k (Radio Resource Management)
• ✅ 802.11v (BSS Transition Management)
• ✅ 802.11r (Fast Transition/Fast Roaming)
• ✅ Client steering events
• ✅ Roaming behavior patterns
• ✅ Handoff timing

Sample Output:

✓ 802.11k Detected
  Neighbor Reports: 12
✓ 802.11v Detected
  BSS Transition Events: 7,764
✓ 802.11r Detected
  FT Authentication: 8
  Fast Roaming: Enabled

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5. Client Device Profiling

Command:

python wifilyzer.py clients.pcap
# Check Section 19: Client Capabilities

Profiles:

• ✅ WiFi generation per device (4/5/6/7)
• ✅ Vendor identification (Apple, Intel, Samsung, etc.)
• ✅ Capability mismatches (WiFi 6 client on WiFi 7 AP)
• ✅ PHY rate distribution
• ✅ Device compatibility issues

Sample Output:

Client Capabilities:
  WiFi 6: 127 clients
  WiFi 5: 18 clients

Vendor Distribution:
  Apple: 45 clients
  Intel: 32 clients
  Samsung: 28 clients

⚠ Capability Mismatches: 16 detected
  Client aa:bb:cc:dd:ee:ff: WiFi 6 on WiFi 7 AP
  Impact: Cannot utilize advanced features

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6. Power Management Analysis

Command:

python wifi6_feature_detector.py power.pcap
# Check Section 23: Power Save Features

Analyzes:

• ✅ Legacy Power Save (PS-Poll, TIM)
• ✅ U-APSD deployment
• ✅ TWT agreements (WiFi 6)
• ✅ Clients in power save mode
• ✅ Power efficiency metrics

Sample Output:

✓ Legacy Power Save Detected
  PS-Poll Frames: 10
  TIM Broadcasts: 7,564

✓ TWT (WiFi 6) Detected
  TWT Agreements: 5
  Clients Using TWT: 23

Clients in Power Save: 201
Power Management Frames: 1,422

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Wireshark Filters

Security Analysis

# Deauthentication frames
wlan.fc.type_subtype == 0x0c

# Disassociation frames
wlan.fc.type_subtype == 0x0a

# WEP encrypted frames
wlan.wep.key

# WPA2/WPA3 (RSN IE)
wlan.rsn.version == 1

# EAPOL (4-way handshake)
eapol

# Open networks (no privacy bit)
wlan.fc.type_subtype == 0x08 && wlan.fixed.capabilities.privacy == 0

WiFi 6/7 Features

# HE Capabilities (WiFi 6)
wlan.ext_tag.number == 35

# HE Operation (BSS Color)
wlan.ext_tag.number == 36

# EHT Capabilities (WiFi 7)
wlan.ext_tag.number == 108

# TWT IE (WiFi 6)
wlan.ext_tag.number == 216

Beamforming

# NDPA frames (control subtype 5)
wlan.fc.type_subtype == 0x15

# VHT SU beamformer capability
wlan.vht.capabilities.beamformercap == 1

# VHT MU beamformer capability
wlan.vht.capabilities.mubeamformer == 1

Spatial Reuse (BSS Color)

# HE Operation IE (contains BSS Color)
wlan.ext_tag.number == 36

# Spatial Reuse Parameter Set
wlan.ext_tag.number == 39

RRM (802.11k/v/r)

# RRM Enabled Capabilities IE
wlan.tag.number == 70

# Radio Measurement action frames (802.11k)
wlan.fixed.category_code == 5

# WNM action frames (802.11v)
wlan.fixed.category_code == 10

# Mobility Domain IE (802.11r)
wlan.tag.number == 54

# Fast BSS Transition IE (802.11r)
wlan.tag.number == 55

# FT Authentication
wlan.auth.alg == 2

QoS/WMM

# QoS Data frames
wlan.fc.type_subtype == 0x28

# Voice traffic (TID 6,7)
wlan.qos.priority == 6 || wlan.qos.priority == 7

# Video traffic (TID 4,5)
wlan.qos.priority == 4 || wlan.qos.priority == 5

# Best Effort (TID 0,3)
wlan.qos.priority == 0 || wlan.qos.priority == 3

# Background (TID 1,2)
wlan.qos.priority == 1 || wlan.qos.priority == 2

# WMM Parameter Element
wlan.wfa.ie.type == 2

Power Save

# PS-Poll frames
wlan.fc.type_subtype == 0x1a

# Power Management bit set
wlan.fc.pwrmgt == 1

# TIM IE (Traffic Indication Map)
wlan.tag.number == 5

# TWT IE (WiFi 6)
wlan.ext_tag.number == 216

# U-APSD (check WMM Info Element)
wlan.wfa.ie.type == 0

Channel Interference

# RTS frames (hidden node detection)
wlan.fc.type_subtype == 0x1b

# CTS frames
wlan.fc.type_subtype == 0x1c

# Retry bit set
wlan.fc.retry == 1

# Filter by specific channel
wlan_radio.channel == 36

Frame Type Filters

# Management frames
wlan.fc.type == 0

# Control frames
wlan.fc.type == 1

# Data frames
wlan.fc.type == 2

# Beacons
wlan.fc.type_subtype == 0x08

# Probe Request
wlan.fc.type_subtype == 0x04

# Probe Response
wlan.fc.type_subtype == 0x05

# Authentication
wlan.fc.type_subtype == 0x0b

# Association Request
wlan.fc.type_subtype == 0x00

# Association Response
wlan.fc.type_subtype == 0x01

# Reassociation Request
wlan.fc.type_subtype == 0x02

# Action frames
wlan.fc.type_subtype == 0x0d

---

Architecture

Main Tool

wifilyzer.py (3,200+ lines)
├── Core detection (Sections 1-15)
├── Inline detection (beamforming, spatial reuse, interference)
├── Module integration (5 external modules)
├── Report generation (23 sections)
└── JSON/Text export

Modular Design

detection_modules/
├── __init__.py                     # Module initialization
├── client_capabilities.py  (220 lines)
│   ├── OUI database (40+ vendors)
│   ├── WiFi generation detection
│   ├── Capability mismatch analysis
│   └── PHY rate distribution
│
├── security_analysis.py    (190 lines)
│   ├── Deauth/disassoc attack detection
│   ├── Rogue AP identification
│   ├── Evil twin detection
│   ├── Weak encryption alerts
│   └── KRACK indicators
│
├── rrm_features.py         (150 lines)
│   ├── 802.11k detection
│   ├── 802.11v detection
│   ├── 802.11r detection
│   └── Client steering
│
├── qos_analysis.py         (145 lines)
│   ├── WMM/QoS frame detection
│   ├── EDCA parameter extraction
│   ├── AC distribution
│   ├── Frame aggregation
│   └── Retry analysis
│
└── power_save.py           (120 lines)
    ├── Legacy PS (PS-Poll, TIM)
    ├── U-APSD detection
    ├── TWT (WiFi 6) detection
    └── Power management tracking

Integration Flow

1. Packet Loading → Scapy reads PCAP file
2. Core Detection → WiFi generation, channels, management frames
3. Inline Detection → Beamforming, spatial reuse, interference
4. Module Detection → 5 external modules process packets
5. Report Generation → 23 sections formatted and exported
6. JSON Export → Structured data for programmatic access

---

Sample Output

Report Structure

╔══════════════════════════════════════════════════════════════╗
║              SECTION 1: FILE INFORMATION                      ║
╚══════════════════════════════════════════════════════════════╝

  PCAP File: capture.pcap
  File Size: 2.5 MB
  Total Packets: 15,053
  Duration: 120 seconds
  Capture Date: 2024-11-28

╔══════════════════════════════════════════════════════════════╗
║         SECTION 16: BEAMFORMING ANALYSIS                      ║
╚══════════════════════════════════════════════════════════════╝

  ┌─ 16.1 Beamforming Detection
  │
  │   ✓ Explicit Beamforming: DETECTED
  │      Count: 7,769 occurrences
  │      Details:
  │        Packet #1: HE - SU:False, MU:True
  │        Packet #2: HE - SU:False, MU:True
  │
  │   ✗ NDPA Frames: NOT DETECTED
  │   ✓ MU-MIMO Grouping: 54,040 indicators

╔══════════════════════════════════════════════════════════════╗
║          SECTION 20: SECURITY ANALYSIS                        ║
╚══════════════════════════════════════════════════════════════╝

  ┌─ 20.1 Security Status
  │
  │   ⚠ DEAUTH ATTACK DETECTED!
  │      Total Deauth Frames: 45
  │        da:d8:e5:ff:ce:c2: 13 deauth frames
  │        06:90:4c:00:00:00: 15 deauth frames
  │
  │   ⚠ WEAK ENCRYPTION DETECTED!
  │      [Critical] ETIFFCECA-5G: WEP
  │
  │   ⚠ WEP Networks: 23
  │
  │   ⚠ POTENTIAL EVIL TWIN DETECTED!
  │      Suspicious networks: 0
  │
  │   ⚠ Rogue AP Indicators: 1
  │      SSID 'ETIFFCECA-5G': 2 BSSIDs

╔══════════════════════════════════════════════════════════════╗
║      SECTION 21: RRM FEATURES (802.11k/v/r)                   ║
╚══════════════════════════════════════════════════════════════╝

  ┌─ 21.1 802.11k (Radio Resource Management)
  │
  │   ✓ 802.11k Detected
  │      Neighbor Reports: 0
  │      Beacon Reports: 0
  │
  ┌─ 21.2 802.11v (BSS Transition Management)
  │
  │   ✓ 802.11v Detected
  │      BSS Transition Events: 7,764
  │
  ┌─ 21.3 802.11r (Fast Transition)
  │
  │   ✗ 802.11r: NOT DETECTED

╔══════════════════════════════════════════════════════════════╗
║        SECTION 22: QoS AND WMM ANALYSIS                       ║
╚══════════════════════════════════════════════════════════════╝

  ┌─ 22.1 WMM/QoS Detection
  │
  │   ✓ WMM/QoS Detected: 39 QoS frames
  │      Access Category Distribution:
  │        BE: 1 (2.6%)
  │
  │   ✓ EDCA Parameters: 3 detected
  │   ✓ Frame Aggregation (A-MPDU): 15,052
  │   Retry Rate: 6.36%

╔══════════════════════════════════════════════════════════════╗
║          SECTION 23: POWER SAVE FEATURES                      ║
╚══════════════════════════════════════════════════════════════╝

  ┌─ 23.1 Power Save Detection
  │
  │   ✓ Legacy Power Save Detected
  │      PS-Poll Frames: 10
  │      TIM Broadcasts: 7,564
  │
  │   ✗ U-APSD: NOT DETECTED
  │   ✗ TWT: NOT DETECTED
  │
  │   Clients in Power Save: 201
  │      Power Management Frames: 1,422

════════════════════════════════════════════════════════════════
                          END OF REPORT
════════════════════════════════════════════════════════════════

JSON Export Sample

{
  "file_info": {
    "filename": "capture.pcap",
    "total_packets": 15053,
    "duration": 120.5
  },
  "beamforming": {
    "explicit_beamforming": {
      "detected": true,
      "count": 7769
    },
    "mu_mimo_grouping": {
      "detected": true,
      "count": 54040
    }
  },
  "security_analysis": {
    "deauth_attacks": {
      "detected": true,
      "total_deauth": 45,
      "by_ap": {
        "06:90:4c:00:00:00": 15
      }
    },
    "weak_encryption": {
      "detected": true,
      "networks": [
        {
          "ssid": "NetworkName",
          "encryption": "WEP",
          "severity": "Critical"
        }
      ]
    }
  },
  "rrm_features": {
    "802.11k": {
      "detected": true,
      "neighbor_reports": 0
    },
    "802.11v": {
      "detected": true,
      "bss_transition": 7764
    }
  }
}

---

Performance

Processing Speed

Packet Count	Processing Time	Memory Usage	Report Size
10,000	~1 second	150 MB	~650 lines
50,000	~5 seconds	300 MB	~750 lines
100,000	~15 seconds	500 MB	~800 lines
500,000	~90 seconds	1.5 GB	~850 lines

Optimization Tips

# Capture only relevant frames
tshark -i wlan0 -f "wlan type mgt or wlan type ctl" -w capture.pcap

# Limit capture duration
timeout 60 tshark -i wlan0 -w capture.pcap

# Filter by time window
editcap -A "2024-11-28 10:00:00" -B "2024-11-28 10:05:00" \
  full.pcap filtered.pcap

# Process large files in chunks
split -l 50000 large.pcap chunk_
for f in chunk_*; do python wifi6_feature_detector.py "$f"; done

---

Troubleshooting

Module Import Errors

# Ensure detection_modules/ exists with all files
ls detection_modules/
# Should show: __init__.py, client_capabilities.py, security_analysis.py,
#              rrm_features.py, qos_analysis.py, power_save.py

# Check Python path
python -c "import sys; print(sys.path)"

Scapy Version Issues

# Upgrade to latest Scapy (2.5.0+)
pip install --upgrade scapy

# Verify version
python -c "import scapy; print(scapy.__version__)"

Empty Analysis Sections

Cause: PCAP doesn't contain relevant frame types Solution:

• Capture longer duration
• Use monitor mode for complete frame visibility
• Check JSON output to see raw detection counts
• Verify capture includes management/control frames

Permission Denied (Linux)

# Run with sudo for monitor mode
sudo python wifilyzer.py capture.pcap

# Or change permissions
sudo chmod +x wifilyzer.py

High Memory Usage

# Process in streaming mode for large files
# Split file first
tcpdump -r large.pcap -w chunk_ -C 100

# Process each chunk
for file in chunk_*; do
  python wifilyzer.py "$file"
done

Wireshark Filter Not Working

Problem: Filter syntax differs between Wireshark versions

Solution for Wireshark 4.2.0+:

• Use wlan_radio.* for RadioTap fields
• Use wlan.ext_tag.number for Extension IEs
• Check version: Help → About Wireshark

For older versions (3.x):

• Use radiotap.* for RadioTap fields
• Use wlan.tag.number for standard IEs

---

Contributing

Contributions welcome! Here's how to add new detection modules:

Adding a New Module

1. Create module file:

# detection_modules/new_feature.py
def detect_new_feature(packets):
    """Detect new WiFi feature"""
    results = {
        'detected': False,
        'count': 0,
        'details': []
    }

    for pkt in packets:
        # Your detection logic here
        if meets_criteria(pkt):
            results['detected'] = True
            results['count'] += 1

    return results

2. Add import to main file:

from detection_modules.new_feature import detect_new_feature

3. Add wrapper method:

def detect_new_feature_wrapper(self):
    """Wrapper for new feature detection"""
    return detect_new_feature(self.packets)

4. Update run_analysis():

print("[*] Detecting new feature...")
self.results['new_feature'] = self.detect_new_feature_wrapper()

5. Add report section:

def _print_new_feature_section(self):
    """Print Section XX: New Feature"""
    feature = self.results.get('new_feature', {})
    print("\n╔" + "=" * 98 + "╗")
    print("║" + " " * 30 + "SECTION XX: NEW FEATURE" + " " * 45 + "║")
    print("╚" + "=" * 98 + "╝\n")
    # Your formatting here

Development Guidelines

• Follow PEP 8 style guide
• Include docstrings for all functions
• Add type hints where appropriate
• Write tests for new features
• Update documentation
• Add Wireshark filters for new detections

---

Repository Structure

wifilyzer/
│
├── wifilyzer.py                       # Main analysis tool (3,200+ lines)
│
├── detection_modules/                  # External detection modules
│   ├── __init__.py
│   ├── client_capabilities.py         # 220 lines
│   ├── security_analysis.py           # 190 lines
│   ├── rrm_features.py                # 150 lines
│   ├── qos_analysis.py                # 145 lines
│   └── power_save.py                  # 120 lines
│
├── README.md                           # This file (comprehensive guide)
├── requirements.txt                    # Python dependencies
├── LICENSE                             # MIT License
├── .gitignore                          # Git exclusions
│
├── captures/                           # PCAP capture files
│   └── wifi61.pcap                    # Sample capture (15K packets)
│
├── reports/                            # Generated analysis reports
│   ├── wifi61_analysis_*.txt          # Text reports (748 lines)
│   └── wifi61_analysis_*.json         # JSON exports
│
├── Supporting Documentation/
│   ├── CODE_OF_CONDUCT.md             # Community guidelines
│   ├── CONTRIBUTING.md                # Contribution guide
│   ├── SECURITY.md                    # Security policy
│   ├── SUPPORT.md                     # Support information
│   ├── SCAPY_LIMITATIONS.md           # Known Scapy issues
│   └── PUBLISHING.md                  # PyPI publishing guide
│
└── archive/                            # Historical files
    ├── Old version docs
    ├── Legacy scripts
    └── Previous test files

---

License

MIT License - Free to use, modify, and distribute.

See LICENSE file for full details.

---

Resources

Standards & Specifications

• IEEE 802.11 Working Group - WiFi standards
• WiFi Alliance - WiFi certification and specs
• IEEE 802.11ax (WiFi 6)
• IEEE 802.11be (WiFi 7)

Tools & Software

• Wireshark - Network protocol analyzer
• Scapy - Packet manipulation library
• tshark - CLI packet analyzer
• aircrack-ng - WiFi security auditing

Related Projects

• kismet - Wireless network detector and IDS
• wifite - Automated WiFi auditing tool
• bettercap - Network attack and monitoring framework

---

Support

Documentation

• Check VERSION_5.0_FEATURES.md for detailed technical documentation
• Review Troubleshooting section above
• Examine JSON output for raw detection data

Testing

• Use included sample: wifi61.pcap (15K packets)
• Verify all 23 sections generate
• Check module imports are successful

Community

• Report issues on GitHub
• Share use cases and findings
• Contribute new detection modules

---

Quick Command Reference

# Basic analysis
python wifilyzer.py capture.pcap

# View text report
cat *_analysis_*.txt

# View JSON (pretty print)
python -m json.tool *_analysis_*.json | less

# Search for security issues
grep -E "⚠|ATTACK|WEAK|ROGUE" *_analysis_*.txt

# Find specific section
grep "SECTION 20" *_analysis_*.txt

# Count all detections
grep -c "✓.*DETECTED" *_analysis_*.txt

# Extract beamforming info
grep -A 10 "SECTION 16" *_analysis_*.txt

# List all warnings
grep "⚠" *_analysis_*.txt

# Show WiFi generations
grep "WiFi [4567]" *_analysis_*.txt

---

Version History

v1.0.0 (2024-11-28) ⭐ Current Release

Major Features:

• ✅ Added 8 new detection modules (beamforming, security, RRM, QoS, power save)
• ✅ Modular architecture with 5 external modules (825 lines)
• ✅ Complete security analysis suite (deauth, rogue AP, evil twin detection)
• ✅ RRM features (802.11k/v/r) for optimized roaming
• ✅ QoS/WMM comprehensive analysis with AC distribution
• ✅ Power save mechanism detection (Legacy PS, U-APSD, TWT)
• ✅ 23 total analysis sections (up from 15)
• ✅ 748-line reports (up from 592)
• ✅ Enhanced client profiling with vendor ID and capability mismatches

Technical Changes:

• Created detection_modules/ directory structure

• 5 new module files (~825 lines total)

• 8 new wrapper methods in main class

• Updated report generation with 8 new sections

• Enhanced JSON output structure

• Added 20+ Wireshark filters

• WiFi 6/7 generation detection

• Roaming behavior analysis

• DFS channel detection

• Auto channel selection

• Airtime fairness

• 15 analysis sections

---

Educational Use

Perfect for:

• 🎓 Network Engineers - WiFi troubleshooting, optimization, capacity planning
• 🔒 Security Professionals - WiFi security auditing, threat detection, compliance
• 📚 Students - Learning WiFi protocols, 802.11 standards, network analysis
• 🔬 Researchers - Analyzing WiFi behavior, performance studies, protocol research
• 💼 IT Departments - Validating deployments, troubleshooting user issues
• 🏢 Enterprise Networks - Large-scale WiFi health monitoring and optimization

---

Acknowledgments

Contributors:

• Niresh Shanmugam ([e-mail])

Built With:

• Scapy - Packet manipulation framework
• Python - Core language

Standards:

• IEEE 802.11 working group - WiFi standards
• WiFi Alliance - Certification specifications

Inspired By:

• Real-world WiFi troubleshooting challenges
• Enterprise network optimization needs
• Security auditing requirements

---

WiFi Feature Detector v5.0 - Your Complete WiFi Analysis Solution 🚀

Made with ❤️ for WiFi enthusiasts, network engineers, and security researchers

Last Updated: November 28, 2024