Skip to main content
ClaudeWave
ES, Spanish
Skill8k estrellas del repoactualizado 16d ago

offensive-wifi-recon

This Claude Code skill provides a structured methodology for passive Wi-Fi reconnaissance across 2.4 GHz, 5 GHz, and 6 GHz bands, covering adapter selection and compatibility, monitor mode setup with injection verification, regulatory domain configuration, airspace mapping, hidden network discovery, and access point fingerprinting including encryption and client analysis. Use this at the beginning of authorized wireless security assessments to build a comprehensive target inventory before executing active attacks.

Instalar en Claude Code
Copiar
git clone --depth 1 https://github.com/SnailSploit/Claude-Red /tmp/offensive-wifi-recon && cp -r /tmp/offensive-wifi-recon/Skills/wireless/offensive-wifi-recon ~/.claude/skills/offensive-wifi-recon
Después abre una sesión nueva de Claude Code; el skill carga automáticamente.

SKILL.md

# Wi-Fi Reconnaissance

The first phase of any wireless engagement. Build a complete picture of the airspace before you deauth, evil-twin, or capture handshakes — every later attack depends on knowing the right BSSID, channel, encryption, and client population.

## Quick Workflow

1. Pick the right adapter for the target's band(s) and PHY
2. Verify monitor mode + injection actually work
3. Set the regulatory domain (legal channels and TX power)
4. Sweep all bands passively
5. Drill down on each in-scope BSSID for client population and PMF status
6. Record everything in a structured target list before any active attack

---

## Adapter Selection

| Chipset | Strengths | Notes |
|---------|-----------|-------|
| Atheros AR9271 (Alfa AWUS036NHA) | Solid 2.4 GHz monitor + injection | 802.11n only |
| Realtek RTL8812AU (AWUS036ACH) | Dual-band, injection | Driver: aircrack-ng/rtl8812au |
| MediaTek MT7612U (AWUS036ACM) | Stable dual-band | In-tree driver on modern kernels |
| MediaTek MT7921AU | Wi-Fi 6 monitor (limited) | Patched drivers required |
| AWUS036AXML / AXM | Wi-Fi 6E (6 GHz) | Bleeding edge — verify per release |

```bash
# Identify your radio
lsusb | grep -iE "(atheros|realtek|mediatek|alfa)"
iw dev
iw list | grep -A 8 "Supported interface modes"
iw list | grep -E "Frequencies:" -A 30
```

## Monitor Mode Setup

```bash
# Kill conflicting services
sudo airmon-ng check kill

# Enable monitor mode
sudo airmon-ng start wlan0
# Or manually
sudo ip link set wlan0 down
sudo iw wlan0 set monitor control
sudo ip link set wlan0 up

# Verify monitor mode + injection
sudo aireplay-ng --test wlan0mon
```

The injection test should report 30/30 ack rates against nearby APs. Lower scores indicate driver, antenna, or position issues.

## Regulatory Domain

```bash
# Check current
iw reg get

# Set explicitly (us = United States, jp = Japan extended, etc.)
sudo iw reg set US
```

Setting the right regdomain unlocks legitimate channels (US: 1–11 on 2.4, 36–165 on 5; JP adds 12–13 + 184+ DFS) and TX power. **Operate within the regdomain you're authorized to use.**

## Passive Multi-Band Sweep

```bash
# All bands
sudo airodump-ng wlan0mon --band abg

# 5 GHz only (helps see UNII bands)
sudo airodump-ng wlan0mon --band a

# 6 GHz (requires 6E-capable adapter and updated airodump-ng)
sudo airodump-ng wlan0mon --band ax

# Hop only specific channels
sudo airodump-ng wlan0mon -c 1,6,11,36,40,44,48
```

Capture to file for later analysis:

```bash
sudo airodump-ng wlan0mon --band abg --write recon --output-format pcap,csv
```

## Targeted Capture

Once you've identified an in-scope BSSID:

```bash
sudo airodump-ng -c 6 --bssid AA:BB:CC:DD:EE:FF -w target wlan0mon
```

Pin to the channel — channel-hopping during a focused capture loses frames.

## Hidden SSIDs

Hidden APs broadcast beacons with empty ESSID. The name leaks during client probes (active scan) or association requests:

```bash
# Wait for legitimate client to associate, ESSID appears in airodump output
# Or, if a client is already associated, deauth them once to force reassociation:
sudo aireplay-ng --deauth 1 -a AA:BB:CC:DD:EE:FF -c 11:22:33:44:55:66 wlan0mon
```

(Only deauth with explicit authorization — see `offensive-deauth-disassoc`.)

## Kismet for War-Driving

```bash
sudo kismet -c wlan0mon
# Open https://localhost:2501 for the dashboard
```

Kismet handles GPS integration, plots APs to a map, fingerprints by IE order, identifies probable IoT vendors from OUI prefixes, and tags known-vulnerable models.

For long-running captures, drop `--no-ncurses` and run headless under `tmux`.

## Wigle Submission

If the engagement permits:

```bash
# Export Kismet's .kismet → CSV → Wigle import format
kismetdb_dump_devices --in capture.kismet --out devices.csv
```

(Wigle aggregates wireless network observations geographically — useful for mapping but check ROE.)

## Vendor / OUI Identification

```bash
# Quick OUI lookup
echo "AA:BB:CC" | wireshark-tools/manuf-lookup
# Or check the airodump CSV's BSSID prefix against /usr/share/wireshark/manuf
```

Vendor identification informs:
- Likely default credentials (router brand → known defaults)
- Known firmware bugs (CVE per chipset)
- Whether WPS is likely vulnerable (Pixie Dust per chipset)
- Whether KRACK / FragAttacks patches are likely applied (vendor patch cadence)

## Data to Record per Target

| Field | Why |
|-------|-----|
| BSSID | Required for every active attack |
| ESSID | Match against PNL probes; client probe correlation |
| Channel + width | Pin radio for capture |
| Band | Adapter selection |
| Encryption | WPA2-PSK / WPA2-Enterprise / WPA3-SAE / Open / WEP |
| PMF (Protected Management Frames) | Whether deauth works |
| RSSI | Position planning |
| Beacon interval / TIM | Anomaly detection vs. evil-twin defenders |
| Vendor (OUI) | Likely default creds, known bugs |
| Client list (MACs + RSSI) | Targets for deauth/relay |
| WPS enabled? | Pixie Dust candidate |

## Detection Considerations

A defender's WIDS sees:
- New device entering the airspace (probe requests reveal even before association)
- Channel hopping patterns of monitor-mode interfaces
- Non-standard probe behavior (KARMA-style universal responses, see `offensive-evil-twin`)

Pure passive recon (no probes from your radio) is invisible to most WIDS deployments. Stay passive until you're committed to the active phase.

## Engagement Cheatsheet

```bash
# 1. Setup
sudo airmon-ng check kill && sudo airmon-ng start wlan0
sudo iw reg set US
sudo aireplay-ng --test wlan0mon          # confirm injection (skip if pure passive)

# 2. Sweep all bands, write to file
sudo airodump-ng wlan0mon --band abg --write recon --output-format pcap,csv

# 3. Kismet for sustained map (optional)
sudo kismet -c wlan0mon --no-ncurses --daemonize

# 4. Per BSSID drill-down
sudo airodump-ng -c <ch> --bssid <BSSID> -w <name> wlan0mon

# 5. Build target list with all fields above
```

---

## Key References

- IEEE 802.11-2020 (combined spec)
- ai
offensive-active-directorySkill

Active Directory attack methodology for internal network red team engagements. Covers reconnaissance (BloodHound, PowerView, ADExplorer), credential abuse (Kerberoasting, ASREProasting, NTLM relay, LLMNR/NBT-NS poisoning), privilege escalation (ACL abuse, GPO abuse, unconstrained/constrained delegation), lateral movement (Pass-the-Hash, Pass-the-Ticket, Overpass-the-Hash, WMI/WinRM/PsExec), persistence (Golden/Silver/Diamond Tickets, DCSync, DCShadow, AdminSDHolder, Skeleton Key), forest trust attacks, ADCS abuse (ESC1-ESC15), and modern MDI/Defender for Identity evasion. Use when assessing on-prem AD, hybrid AD/Entra ID environments, or ADCS deployments.

offensive-advanced-redteamSkill

Comprehensive red team operations methodology covering full engagement lifecycle from planning through reporting. Addresses engagement scoping and rules of engagement negotiation, multi-tier C2 infrastructure design with redirectors and domain fronting, malleable traffic profiles and beacon tradecraft, OPSEC discipline including attribution avoidance and indicator management, EDR and AMSI evasion techniques using direct syscalls and unhooking, data collection with chain-of-custody controls, and structured reporting with purple team debrief workflows. Covers assumed-breach, external-to-internal, insider threat, and hybrid physical-cyber engagement scenarios with MITRE ATT&CK mapping throughout. Targets operators planning or executing adversary simulation engagements against mature defenders.

offensive-ai-securitySkill
offensive-anti-forensicsSkill

Anti-forensics and evidence destruction techniques for red team operators conducting authorized engagements. Covers log clearing on Windows (wevtutil, Clear-EventLog, ETW provider patching) and Linux (journal truncation, utmp/wtmp binary editing, syslog manipulation), timestamp manipulation via Timestomp and SetMACE to defeat timeline analysis, filesystem-level anti-forensics including NTFS Alternate Data Streams for payload hiding and secure deletion with sdelete/shred, memory artifact removal to counter live forensics, disk artifact manipulation targeting MFT entries and USN journal records, network forensics evasion through encrypted C2 channels and DNS-over-HTTPS tunneling, and anti-VM/sandbox detection to avoid dynamic analysis environments. Tools: Timestomp, wevtutil, sdelete, shred, MimiPenguin, Invoke-Phant0m. Aligns to MITRE ATT&CK T1070 (Indicator Removal), T1027 (Obfuscated Files or Information), T1497 (Virtualization/Sandbox Evasion). Each technique includes the forensic artifact it targets, the destruction or manipulation method, and the defender perspective so operators understand detection gaps they must account for.

offensive-api-abuseSkill

Advanced API exploitation methodology focused on business logic abuse and sophisticated attack patterns that bypass traditional security controls. Covers business logic bypass through API call chaining and workflow manipulation. Addresses GraphQL-specific attacks including batching for credential brute-force, query depth exploitation, and introspection abuse. Includes pagination exploitation for data exfiltration, webhook hijacking for SSRF and data interception, and resource exhaustion through algorithmic complexity attacks. Covers race conditions in API transactions using parallel request techniques. Provides comprehensive JWT manipulation including algorithm confusion, kid injection, jku/x5u abuse, and claim tampering. Details API key leakage detection across source repositories, client-side code, and error messages. Covers undocumented endpoint discovery through predictable naming, debug routes, and source map analysis. Tooling includes Arjun, ParamSpider, jwt_tool, and GraphQL Voyager. Designed for authorized penetration testers targeting business logic layers that automated scanners miss.

offensive-api-securitySkill

Comprehensive API security testing methodology covering REST, gRPC, and WebSocket attack surfaces. Addresses the full OWASP API Security Top 10 2023 including BOLA/IDOR, broken authentication, excessive data exposure, rate limiting bypass, BFLA, mass assignment, SSRF, and security misconfiguration. Includes REST-specific attacks such as HTTP verb tampering, content-type switching, and parameter pollution. Covers gRPC exploitation through protobuf interception, reflection API enumeration, and metadata injection. Addresses WebSocket vulnerabilities including origin bypass, message injection, and cross-site WebSocket hijacking. Provides tooling guidance for Burp Suite, Postman, grpcurl, websocat, and mitmproxy. Each technique includes detection signatures and defensive indicators so you understand what artifacts your testing leaves behind. Designed for authorized penetration testing engagements against API-driven architectures.

offensive-basic-exploitationSkill
offensive-bluetooth-bleSkill

Bluetooth Low Energy (BLE) attack methodology — GATT enumeration, characteristic read/write without auth, pairing downgrade (Just Works forced), LE Secure Connections bypass, MITM via active relay, sniffing with Sniffle (TI CC1352) / Ubertooth / Frontline, encryption key extraction (LE Legacy Pairing crackable, LE Secure Connections strong), proximity authentication abuse (cars, locks), and companion-app trust analysis. Use for IoT BLE devices, smart locks, fitness trackers, medical devices, BLE beacons, or any device pairing over BLE.