conducting-wireless-network-penetration-test

mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026

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$npx skills install mukul975/Anthropic-Cybersecurity-Skills/conducting-wireless-network-penetration-test
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summary

Conducts authorized wireless network penetration tests to assess the security of WiFi infrastructure by testing for weak encryption protocols, captive portal bypasses, evil twin attacks, WPA2/WPA3 handshake capture, rogue access point detection, and client-side attacks. The tester evaluates wireless authentication, network segmentation, and the effectiveness of wireless intrusion detection systems. Activates for requests involving wireless pentest, WiFi security assessment, WPA2/WPA3 testing, or rogue access point detection.

skill.md
name
conducting-wireless-network-penetration-test
description
'Conducts authorized wireless network penetration tests to assess the security of WiFi infrastructure by testing for weak encryption protocols, captive portal bypasses, evil twin attacks, WPA2/WPA3 handshake capture, rogue access point detection, and client-side attacks. The tester evaluates wireless authentication, network segmentation, and the effectiveness of wireless intrusion detection systems. Activates for requests involving wireless pentest, WiFi security assessment, WPA2/WPA3 testing, or rogue access point detection. '
domain
cybersecurity
subdomain
penetration-testing
tags
- wireless-pentest - WiFi-security - WPA2 - WPA3 - evil-twin
version
1.0.0
author
mahipal
license
Apache-2.0
nist_csf
- ID.RA-01 - ID.RA-06 - GV.OV-02 - DE.AE-07

Conducting Wireless Network Penetration Test

When to Use

  • Assessing the security of enterprise wireless networks including guest, corporate, and IoT WiFi segments
  • Testing whether attackers within physical proximity can compromise wireless authentication and access internal networks
  • Validating wireless intrusion detection/prevention system (WIDS/WIPS) capabilities against known attack techniques
  • Evaluating the effectiveness of WPA3 migration and transition mode configurations
  • Testing network segmentation between wireless and wired networks after a wireless network compromise

Do not use against wireless networks without written authorization from the network owner, for jamming or denial-of-service attacks against wireless infrastructure unless explicitly authorized, or in environments where wireless disruption could affect life-safety systems.

Prerequisites

  • Written authorization specifying target SSIDs, BSSIDs, and physical testing locations
  • External WiFi adapter supporting monitor mode and packet injection (Alfa AWUS036ACH, TP-Link TL-WN722N v1)
  • Kali Linux or equivalent with up-to-date wireless tools (aircrack-ng suite, hostapd, bettercap)
  • Physical access to the testing location during authorized testing hours
  • Knowledge of the target's wireless architecture (SSIDs, authentication types, RADIUS infrastructure)

Workflow

Step 1: Wireless Reconnaissance

Discover and map all wireless networks in the target environment:

  • Enable monitor mode: airmon-ng start wlan0
  • Capture wireless traffic: airodump-ng wlan0mon -w recon --output-format csv,pcap to discover all SSIDs, BSSIDs, channels, encryption types, and connected clients
  • Identify target networks from the authorized scope and note their security configurations (WEP, WPA2-Personal, WPA2-Enterprise, WPA3-SAE, WPA3-Transition)
  • Enumerate connected clients and their signal strengths to understand client distribution
  • Check for hidden SSIDs by capturing probe requests from clients: airodump-ng wlan0mon --essid-regex ".*" -c <channel>
  • Identify rogue access points by comparing discovered BSSIDs against the client's authorized AP inventory

Step 2: WPA2-Personal Handshake Capture and Cracking

For WPA2-PSK networks, capture the 4-way handshake and attempt offline cracking:

  • Target the specific AP: airodump-ng wlan0mon -c <channel> --bssid <bssid> -w capture
  • Deauthenticate a connected client to force re-authentication: aireplay-ng -0 5 -a <bssid> -c <client_mac> wlan0mon
  • Verify handshake capture in airodump-ng (WPA handshake indicator appears)
  • Crack the captured handshake:
    • Dictionary attack: aircrack-ng -w /usr/share/wordlists/rockyou.txt capture-01.cap
    • GPU-accelerated: hashcat -m 22000 capture.hc22000 /usr/share/wordlists/rockyou.txt
    • Rule-based: hashcat -m 22000 capture.hc22000 wordlist.txt -r /usr/share/hashcat/rules/best64.rule
  • For PMKID capture (clientless): hcxdumptool -i wlan0mon --enable_status=1 -o pmkid.pcapng --filtermode=2 --filterlist_ap=<bssid>

Step 3: WPA2-Enterprise Attack

For 802.1X/EAP networks, attempt credential capture through rogue RADIUS:

  • Identify the EAP type in use (PEAP-MSCHAPv2, EAP-TLS, EAP-TTLS) by capturing association requests
  • Set up a rogue AP mimicking the enterprise SSID using hostapd-mana with a rogue RADIUS server
  • Configure hostapd-mana to accept all EAP authentication attempts and capture RADIUS handshakes
  • When clients connect to the rogue AP, capture MSCHAPv2 challenge-response pairs
  • Crack captured credentials with asleap or convert to hashcat format: hashcat -m 5500 captured_ntlm.txt wordlist.txt
  • If EAP-TLS is in use (certificate-based), document that credential capture is not feasible and the organization has implemented strong wireless authentication

Step 4: Evil Twin Attack

Deploy a rogue access point to intercept client connections:

  • Create an evil twin AP matching the target SSID: configure hostapd with the same SSID and channel
  • Set up a captive portal using dnsmasq for DHCP and DNS, and a web server presenting a fake login page
  • Deauthenticate clients from the legitimate AP to force reconnection to the evil twin
  • Capture credentials submitted through the captive portal
  • For WPA3-Transition mode networks: exploit the downgrade vulnerability by creating a WPA2-only evil twin that transition-mode clients will connect to
  • Document all captured credentials and the attack path from wireless access to internal network

Step 5: Post-Compromise Network Assessment

After gaining wireless network access, assess network segmentation:

  • Connect to the compromised wireless network using captured credentials
  • Scan the network segment for accessible hosts and services: nmap -sn <wireless_subnet>
  • Test if wireless clients can reach internal servers, databases, or management interfaces
  • Verify that VLAN segmentation properly isolates guest, corporate, and IoT wireless networks
  • Test if wireless-to-wired segmentation is enforced by attempting to access servers on the wired network
  • Document all accessible resources from the wireless network to demonstrate segmentation failures

Key Concepts

TermDefinition
Evil TwinA rogue access point that mimics a legitimate SSID to trick clients into connecting, enabling man-in-the-middle attacks and credential capture
4-Way HandshakeThe WPA2 authentication exchange between client and AP that establishes encryption keys; captured handshakes can be cracked offline
WPA3-SAESimultaneous Authentication of Equals; WPA3's key exchange protocol that resists offline dictionary attacks and provides forward secrecy
Transition ModeWPA3 backward compatibility mode that supports both WPA2 and WPA3 clients, potentially vulnerable to downgrade attacks
PMKID AttackA clientless attack that captures the Pairwise Master Key Identifier from the AP's first EAPOL frame, allowing offline cracking without capturing a full handshake
802.1X/EAPEnterprise wireless authentication using RADIUS and Extensible Authentication Protocol, providing per-user credentials instead of a shared pre-shared key
Deauthentication AttackSending spoofed deauthentication frames to disconnect clients from an AP, forcing them to reconnect and enabling handshake capture or evil twin attacks

Tools & Systems

  • Aircrack-ng Suite: Comprehensive wireless auditing toolkit including airodump-ng (capture), aireplay-ng (injection), and aircrack-ng (cracking)
  • Hostapd-mana: Modified hostapd for creating rogue access points with EAP credential capture capability
  • Bettercap: Network attack framework with WiFi modules for deauthentication, handshake capture, and evil twin deployment
  • Hashcat: GPU-accelerated password cracking supporting WPA2 (mode 22000), MSCHAPv2 (mode 5500), and PMKID formats
  • Kismet: Wireless network detector, sniffer, and intrusion detection system for passive monitoring

Common Scenarios

Scenario: Wireless Security Assessment for a Corporate Office

Context: A financial services company has 3 SSIDs: CorpWiFi (WPA2-Enterprise for employees), GuestWiFi (captive portal), and IoT-Net (WPA2-PSK for printers and conferencing systems). The tester is authorized to test all three networks from the lobby and conference rooms.

Approach:

  1. Wireless reconnaissance identifies all 3 SSIDs across 12 access points with 87 connected clients
  2. IoT-Net WPA2-PSK handshake captured and cracked in 3 minutes (password: Company2024!)
  3. From IoT-Net, scan reveals the subnet can reach internal servers including the print server and file shares, demonstrating inadequate segmentation
  4. Evil twin attack against CorpWiFi captures 4 employee MSCHAPv2 hashes via hostapd-mana; 2 are cracked revealing passwords
  5. GuestWiFi captive portal bypass achieved using MAC address spoofing of an already-authenticated device
  6. Document that IoT-Net provides a direct path to the internal network bypassing WPA2-Enterprise authentication

Pitfalls:

  • Conducting deauthentication attacks during business hours without coordinating with the client, causing visible WiFi disruptions
  • Not testing WPA3 transition mode for downgrade vulnerabilities when the organization has begun WPA3 migration
  • Focusing only on password cracking and missing network segmentation issues that are often the higher-risk finding
  • Testing from a single location and missing rogue APs deployed in other areas of the facility

Output Format

## Finding: Weak WPA2-PSK on IoT Network with Inadequate Segmentation

**ID**: WIFI-001
**Severity**: Critical (CVSS 9.4)
**Affected SSID**: IoT-Net (BSSID: AA:BB:CC:DD:EE:FF)
**Encryption**: WPA2-Personal (PSK)

**Description**:
The IoT wireless network uses a weak pre-shared key that was cracked in 3 minutes
using a standard dictionary attack. Once connected to IoT-Net, the tester discovered
that the wireless VLAN is not properly segmented from the internal corporate network,
providing unrestricted access to file servers, the Active Directory domain controller,
and the internal database server.

**Proof of Concept**:
1. Captured WPA2 handshake: airodump-ng wlan0mon -c 6 --bssid AA:BB:CC:DD:EE:FF -w iot
2. Cracked PSK in 3 minutes: aircrack-ng -w rockyou.txt iot-01.cap -> Key: Company2024!
3. Connected to IoT-Net and scanned: nmap -sn 10.20.0.0/24
4. Accessible from IoT-Net: DC01 (10.20.0.5:445), FILESVR (10.20.0.10:445), DBSVR (10.20.0.15:3306)

**Impact**:
An attacker within wireless range (tested from the public lobby) can join the IoT
network and gain direct network access to the corporate infrastructure, bypassing
the WPA2-Enterprise authentication required for employee access.

**Remediation**:
1. Implement a complex 20+ character PSK for IoT-Net, rotated quarterly
2. Deploy VLAN segmentation to isolate IoT-Net from the corporate network
3. Implement firewall rules allowing IoT devices to reach only their required services
4. Migrate IoT devices to 802.1X authentication with device certificates where supported
5. Deploy WIDS to detect deauthentication attacks and rogue access points
how to use conducting-wireless-network-penetration-test

How to use conducting-wireless-network-penetration-test on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add conducting-wireless-network-penetration-test
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/conducting-wireless-network-penetration-test

The skills CLI fetches conducting-wireless-network-penetration-test from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
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│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/conducting-wireless-network-penetration-test

Reload or restart Cursor to activate conducting-wireless-network-penetration-test. Access the skill through slash commands (e.g., /conducting-wireless-network-penetration-test) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

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general reviews

Ratings

4.750 reviews
  • Carlos Brown· Dec 28, 2024

    conducting-wireless-network-penetration-test fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Kiara Gill· Dec 24, 2024

    conducting-wireless-network-penetration-test reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Mateo Garcia· Dec 20, 2024

    We added conducting-wireless-network-penetration-test from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Amelia Rahman· Dec 12, 2024

    conducting-wireless-network-penetration-test is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Rahul Santra· Nov 27, 2024

    Keeps context tight: conducting-wireless-network-penetration-test is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Anika Shah· Nov 19, 2024

    I recommend conducting-wireless-network-penetration-test for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Kiara Iyer· Nov 15, 2024

    Registry listing for conducting-wireless-network-penetration-test matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Carlos Bansal· Nov 3, 2024

    Useful defaults in conducting-wireless-network-penetration-test — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Anika Srinivasan· Oct 22, 2024

    Registry listing for conducting-wireless-network-penetration-test matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Pratham Ware· Oct 18, 2024

    We added conducting-wireless-network-penetration-test from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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