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detecting-bluetooth-low-energy-attacks

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Detects and analyzes Bluetooth Low Energy (BLE) security attacks including sniffing, replay attacks, GATT enumeration abuse, and Man-in-the-Middle interception. Uses Ubertooth One and nRF52840 sniffers for packet capture, the bleak Python library for GATT service enumeration, and crackle for BLE encryption cracking. Use when assessing IoT device BLE security, monitoring for BLE-based attacks on wireless infrastructure, or performing authorized BLE penetration testing. Activates for requests involving BLE security assessment, Ubertooth sniffing, GATT enumeration, or BLE replay detection.

internal/tools/skills/data/wireless-security/detecting-bluetooth-low-energy-attacks/SKILL.md

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Nov 7, 2026
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Apache-2.0

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## Helper prerequisites

This bundled skill supplies methodology text; it does not install the local helper files invoked below. Before running a command using `agent.py` or a `scripts/` path, create that file from a complete implementation when one is supplied, or obtain and review the matching upstream helper. Check its `--help` and dependencies against the shown arguments. If no implementation is available, the invocation is a workflow illustration rather than a runnable command; use the documented underlying tools instead.

# Detecting Bluetooth Low Energy Attacks

## Disclaimer

This skill is intended for authorized security testing, penetration testing engagements, CTF competitions, and educational purposes only. Sniffing, intercepting, or manipulating Bluetooth communications without authorization may violate federal wiretapping laws and local regulations. Always obtain explicit written permission before conducting any wireless security assessment.

## When to Use

Use this skill when:
- Performing authorized BLE security assessments of IoT devices, medical devices, or smart locks
- Monitoring a wireless environment for BLE-based replay attacks, spoofing, or unauthorized enumeration