WireStrike v2

AI-Powered Wireless Attack Framework

WireStrike is a next-generation wireless security auditing framework written in Rust, replacing legacy Python-based tools with high-performance, multi-threaded operations. It integrates Ollama AI for intelligent target prioritization, OPSEC-aware attack planning, and autonomous decision-making during wireless engagements.

Disclaimer: This tool is intended for authorized security testing and wireless audits only. Unauthorized access to wireless networks is illegal in most jurisdictions.

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Features

• Multi-Protocol Support

  • WPA2-PSK / WPA2-Enterprise (EAP)
  • WPA3-SAE / WPA3-Transition
  • WiFi 7 / MLO (Multi-Link Operation)
  • WPS (Push Button & PIN)
  • WEP (legacy support)

• AI Integration (Ollama)

  • Intelligent target prioritization based on signal, client count, and protocol
  • OPSEC-aware attack recommendations
  • Automated handshake quality analysis
  • Smart wordlist and mask generation

• Attack Modules

  • Scanner: Passive & active discovery, hidden SSID detection
  • Attacker: Deauth, PMKID capture, handshake capture
  • Cracker: WPA/WPA2 cracking with GPU-optimized wordlists
  • Evil Twin: Captive portal, karma attack, certificate injection
  • OPSEC: MAC randomization, timing jitter, noise floor analysis

• Dual-Radio Support

  • Simultaneous scan + attack with two wireless interfaces
  • Evil twin on one radio while capturing on another

• Performance

  • Rust + Tokio async runtime for high concurrency
  • Sub-second scan cycles with channel hopping
  • Optimized for ARM (Raspberry Pi) and x86_64

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Architecture

┌─────────────┐    ┌─────────────┐    ┌─────────────┐    ┌─────────────┐
│   Scanner   │───▶│   Attacker  │───▶│   Cracker   │───▶│  Evil Twin  │
│   (scan)    │    │  (attack)   │    │  (crack)    │    │   (twin)    │
└─────────────┘    └─────────────┘    └─────────────┘    └─────────────┘
       │                   │                  │
       ▼                   ▼                  ▼
┌─────────────────────────────────────────────────────────────────────┐
│                         AI Module (Ollama)                           │
│  Target Ranking • OPSEC Advice • Wordlist Gen • Handshake Analysis   │
└─────────────────────────────────────────────────────────────────────┘
                              │
                              ▼
                        ┌──────────┐
                        │   OPSEC  │
                        │  Engine  │
                        └──────────┘

Module	Purpose
scanner.rs	WiFi scanning, SSID discovery, client enumeration, hidden SSID detection
attacker.rs	Deauthentication, PMKID capture, 4-way handshake capture
cracker.rs	WPA/WPA2 offline cracking, wordlist & mask attacks
evil_twin.rs	Rogue AP creation, captive portal, certificate injection
ai.rs	Ollama integration for intelligent decision-making
models.rs	Data structures for APs, clients, handshakes, scan results
opsec.rs	MAC randomization, timing obfuscation, noise analysis
main.rs	CLI entry point with clap

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Installation

From Source

git clone https://github.com/hamzazakakhan/wirestrike.git
cd wirestrike
cargo build --release

The binary will be available at target/release/wirestrike.

Prerequisites

• Rust 1.75+ (curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh)
• Wireless interface in monitor mode (airmon-ng start wlan0)
• Ollama (optional, for AI features)

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Usage

Passive Scan (no transmission)

sudo ./target/release/wirestrike scan --interface wlan0mon --duration 60

Active Attack (capture handshake)

sudo ./target/release/wirestrike attack --interface wlan0mon --target "MyNetwork" --channel 6

Crack Captured Handshake

sudo ./target/release/wirestrike crack --handshake capture.hccapx --wordlist rockyou.txt

Evil Twin Attack

sudo ./target/release/wirestrike evil-twin \
    --interface wlan0mon \
    --interface2 wlan1mon \
    --ssid "MyNetwork" \
    --channel 6 \
    --captive-portal

AI-Assisted Engagement

sudo ./target/release/wirestrike scan --interface wlan0mon --ai-model qwen2.5-coder:7b

Disable AI (Manual Mode)

sudo ./target/release/wirestrike scan --interface wlan0mon --no-ai

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Requirements

• Linux with wireless drivers supporting monitor mode
• libpcap-dev (for raw packet capture)
• Root privileges (for monitor mode and raw sockets)

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Training Data

• wifite_training.json — Historical wireless attack data for ML training
• wifite_v1_source.py — Reference implementation from wifite v1

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License

MIT License — See LICENSE for details.

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Author

Hamza Zaka Khan — github.com/hamzazakakhan