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Offensive Bluetooth Classic

CommunityPopular
SnailSploit
offensive-bluetooth-classic

Bluetooth Classic (BR/EDR) attack methodology — device discovery, service enumeration via SDP, LMP/L2CAP layer attacks, legacy PIN cracking (BlueBorne / KNOB), Bluetooth file-transfer abuse (BlueSnarfing legacy), unauthenticated profile abuse (HSP, HFP, OPP), and modern relevance against older industrial / automotive / accessory targets. Use when in-scope devices use Bluetooth Classic (Bluetooth ≤ 4.0 BR/EDR) — common in legacy car kits, industrial sensors, older medical devices, and audio accessories.

Overview

PublisherSnailSploit
RepositoryClaude-Red
Skill nameoffensive-bluetooth-classic
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 Bluetooth Classic 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-bluetooth-classic
  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-bluetooth-classic .claude/skills/offensive-bluetooth-classic
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Offensive Bluetooth Classic 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 Bluetooth Classic 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 Bluetooth Classic 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.

Bluetooth Classic (BR/EDR) Attacks

Older than BLE, less commonly attacked today, but still present in cars, industrial sensors, audio gear, and legacy enterprise hardware. Many of the well-known historic attacks (BlueSnarf, BlueBug) are mitigated; KNOB and the BlueBorne family remain relevant against unpatched devices.

Quick Workflow

  1. Discover devices with hcitool / bluetoothctl / redfang
  2. Enumerate exposed services via SDP
  3. Test each service profile for unauth access
  4. Check pairing crypto (KNOB applicability)
  5. Proximity-physical attacks for legacy / unpatched

Discovery

bash
# Modern adapter (built-in or USB Bluetooth 4.0+)
sudo hciconfig hci0 up
sudo hcitool inq                       # inquiry
sudo hcitool scan --length=12          # 12-second scan

# bluetoothctl interactive
bluetoothctl
> scan on
> devices

# Discoverable-mode-only devices appear; non-discoverable need address brute
sudo redfang -r 00:00:00:00:00:00-FF:FF:FF:FF:FF:FF
# (very slow — ~7 hours per OUI prefix)

Service Discovery (SDP)

bash
# List all services on a device
sdptool browse AA:BB:CC:DD:EE:FF
sdptool records AA:BB:CC:DD:EE:FF

Common profiles and their attack relevance:

ProfileUUIDAttack
OBEX Object Push (OPP)0x1105BlueSnarf/BlueBug on legacy phones (mostly extinct)
OBEX File Transfer (FTP)0x1106Browse / write filesystem on legacy devices
Headset (HSP/HFP)0x1108 / 0x111EEavesdrop active call audio
Serial Port Profile (SPP)0x1101Industrial/IoT debug ports — often unauthenticated
HID0x1124Keyboard/mouse impersonation
Audio Sink/Source (A2DP)0x110B / 0x110AAudio injection/eavesdrop

SPP Abuse

The Serial Port Profile (SPP) tunnels arbitrary data over Bluetooth as a virtual COM port. Industrial / IoT devices use it for debug or telemetry, often without authentication.

bash
# Connect to SPP service, channel typically 1
sudo rfcomm bind /dev/rfcomm0 AA:BB:CC:DD:EE:FF 1
sudo screen /dev/rfcomm0 9600
# Then interact with the device's CLI / debug menu

KNOB (CVE-2019-9506)

Forces Bluetooth pairing to negotiate a 1-byte encryption key — making the link key trivially brute-forceable.

bash
# Test with internalblue (requires Broadcom firmware patch)
git clone https://github.com/seemoo-lab/internalblue
internalblue
> log keys
# Patch firmware to allow 1-byte key; pair with target; observe weak key

Patched in firmware on most modern devices. Still works against:

  • Older Broadcom-based devices (pre-2019 BCM chipsets)
  • Embedded automotive Bluetooth stacks
  • Cheap consumer audio gear

BlueBorne (CVE-2017-1000251 et al.)

A family of buffer overflows / info leaks in major Bluetooth stacks (Linux BlueZ, Android, Windows, iOS). Mostly patched 2017–2018, but unpatched embedded Linux devices are common.

bash
# Armis blueborne-scanner — checks for patch-level
git clone https://github.com/ArmisSecurity/blueborne
python blueborne_scanner.py AA:BB:CC:DD:EE:FF

HID Spoofing (PoC)

If pairing succeeds via Just Works or weak PIN, you can register as a HID device — keystroke injection on an unattended Bluetooth-paired host.

bash
# bdaddr + HID example — register custom HID on rfcomm
hcitool dev
hciconfig hci0 class 0x000540   # HID device class
sdptool add HID
# Use a HID descriptor crafted as keyboard, send keystrokes

Audio Eavesdropping

If a target has Bluetooth headset paired and active, and you can re-pair (PIN brute or KNOB):

  • HSP/HFP profiles let you become the peer and receive audio
  • Some firmware allows simultaneous peer connections — eavesdrop without disrupting

Engagement Cheatsheet

bash
# 1. Discover
sudo hcitool inq

# 2. Enumerate services per device
sdptool browse <MAC>

# 3. SPP (industrial/IoT) — connect and explore
sudo rfcomm bind /dev/rfcomm0 <MAC> 1
sudo screen /dev/rfcomm0 9600

# 4. Patch-level scan
python blueborne_scanner.py <MAC>

# 5. KNOB testing (with adapter that supports internalblue)
internalblue → log keys → re-pair target

# 6. Document profiles, auth state, exposed commands per device

Detection

  • No native Bluetooth Classic IDS in most environments
  • Active inquiry visible to nearby Bluetooth-aware monitoring (rare)
  • Re-pairing prompts on target devices may surface to users

Reporting

  • Identify chipset + firmware version per device (often visible in service records)
  • Map CVE applicability (BlueBorne, KNOB, BlueFrag, et al.)
  • Document specific profile abuses (SPP exposed without auth, HID spoofing successful, etc.)

Key References

Frequently asked questions

What does the Offensive Bluetooth Classic AI skill do?

Bluetooth Classic (BR/EDR) attack methodology — device discovery, service enumeration via SDP, LMP/L2CAP layer attacks, legacy PIN cracking (BlueBorne / KNOB), Bluetooth file-transfer abuse (BlueSnarfing legacy), unauthenticated profile abuse (HSP, HFP, OPP), and modern relevance against older industrial / automotive / accessory targets. Use when in-scope devices use Bluetooth Classic (Bluetooth ≤ 4.0 BR/EDR) — common in legacy car kits, industrial sensors, older medical devices, and audio accessories.

Why use Offensive Bluetooth Classic on TypingMind?

Because you install it once and use it with any model. Offensive Bluetooth Classic 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 Bluetooth Classic in TypingMind?

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

Which AI models can use Offensive Bluetooth Classic?

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 Bluetooth Classic?

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

Is the Offensive Bluetooth Classic 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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