offensive-wifi-recon
Wi-Fi reconnaissance methodology — adapter selection, monitor mode and packet injection setup, regulatory domain handling, multi-band airspace mapping, hidden SSID discovery, BSSID/ESSID/channel/PMF/encryption fingerprinting, client probe analysis, vendor OUI lookup, war-driving with Kismet/airodump…
Install / Use
npx skills add SnailSploit/Claude-Red --skill offensive-wifi-reconInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
OperationsSupported Platforms
Tags
Our assessment of offensive-wifi-recon
offensive-wifi-recon scores 95/100 on our quality scale, 54th of 292 Operations skills we index (top 19%).
Its SKILL.md is 6.7 KB long, well organised into 37 sections with 11 code examples: a thorough specification that gives an agent plenty to work with.
With 6,850 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 6 days ago, so offensive-wifi-recon is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-26. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
offensive-wifi-recon compared with similar skills
All 4 of these similar skills score higher than offensive-wifi-recon; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| offensive-wifi-recon (this skill)by SnailSploit | 95 | 6.8k | 6d ago | SKILL.md |
| algorithmic-artby anthropics | 100 | 177.9k | 4d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 4d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 5d ago | SKILL.md |
| ui-ux-pro-maxby nextlevelbuilder | 100 | 130.2k | 5d ago | SKILL.md |
Frequently asked questions
- How do I install offensive-wifi-recon?
- Run
npx skills add SnailSploit/Claude-Red --skill offensive-wifi-recon. The install tabs above show the steps for each supported agent. - Which AI agents does offensive-wifi-recon work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is offensive-wifi-recon safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is offensive-wifi-recon still maintained?
- The repository was last updated 6 days ago, so offensive-wifi-recon is actively maintained.
Skill content
View source on GitHubname: offensive-wifi-recon description: "Wi-Fi reconnaissance methodology — adapter selection, monitor mode and packet injection setup, regulatory domain handling, multi-band airspace mapping, hidden SSID discovery, BSSID/ESSID/channel/PMF/encryption fingerprinting, client probe analysis, vendor OUI lookup, war-driving with Kismet/airodump-ng/Wigle, and structured airspace data capture for downstream attacks. Use at the start of any wireless engagement to build the target map before active attacks; covers 2.4 GHz, 5 GHz, and 6 GHz (Wi-Fi 6E) bands and adapter compatibility for each."
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
- Pick the right adapter for the target's band(s) and PHY
- Verify monitor mode + injection actually work
- Set the regulatory domain (legal channels and TX power)
- Sweep all bands passively
- Drill down on each in-scope BSSID for client population and PMF status
- 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 |
# 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
# 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
# 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
# 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:
sudo airodump-ng wlan0mon --band abg --write recon --output-format pcap,csv
Targeted Capture
Once you've identified an in-scope BSSID:
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:
# 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
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:
# 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
# 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
# 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)
- aircrack-ng documentation: aircrack-ng.org
- Kismet documentation: kismetwireless.net
- WIGLE: wigle.net (read the API ToS before automated submissions)
- Source: https://github.com/SnailSploit/offensive-checklist/blob/main/wireless.md
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
