Executive Summary

In today’s digital age, stalkerware and covert surveillance threats have escalated, exploiting insecure environments and weak monitoring setups. A Raspberry Pi–based surveillance detector can act as a low-cost, high-utility solution for detecting unauthorized devices, tracking digital footprints, and alerting users in real-time when stalkers attempt to surveil or track them digitally.

CyberDudeBivash presents this step-by-step DIY guide to build a Raspberry Pi surveillance detector that acts as both a network sentinel and a threat intelligence node for personal or small-business security.

 Core Concept

The detector leverages:

1. Wi-Fi/Bluetooth scanning – to detect rogue devices or stalker-controlled hardware in proximity.

2. Network monitoring – using Pi as a passive sniffer for suspicious traffic or beacon frames.

3. Threat intel feeds – cross-checking device MACs, domains, and signatures with known stalkerware/stalker C2 servers.

4. Logging & alerting – with real-time notifications via email, Telegram, or a secure dashboard.

 Hardware & Software Requirements

Hardware

• Raspberry Pi 4 (recommended for performance)

• 32GB+ microSD card

• Wi-Fi adapter with monitor mode support (e.g., Alfa AWUS036ACH)

• Bluetooth dongle (if Pi model doesn’t support BLE scanning well)

• Optional: PIR motion sensor & camera module for physical surveillance

Software Stack

• Raspberry Pi OS (Lite)

• Kismet or airodump-ng for wireless scanning

• BlueHydra for Bluetooth device detection

• Wireshark/tshark for packet analysis

• Python + Scapy for custom packet inspection & anomaly detection

• ELK Stack / Grafana for logs visualization

• Threat Intelligence API integration (AbuseIPDB, OTX AlienVault, etc.)

 Implementation Steps

1. Setup Raspberry Pi

sudo apt update && sudo apt upgrade -y
sudo apt install python3-pip git tshark

2. Install Kismet (Wi-Fi Sniffer)

sudo apt install kismet

Configure interface:

sudo kismet -c wlan1

3. Bluetooth Surveillance

Install BlueHydra:

git clone https://github.com/pwnieexpress/blue_hydra.git
cd blue_hydra
bundle install

Run continuous scans to detect hidden/unknown devices.

4. Packet Analysis with Python + Scapy

Simple code to log suspicious beacon frames:

from scapy.all import *

def detect(pkt):
    if pkt.haslayer(Dot11Beacon):
        ssid = pkt.info.decode()
        bssid = pkt.addr2
        print(f"[ALERT] New beacon detected: SSID={ssid}, BSSID={bssid}")

sniff(iface="wlan1mon", prn=detect)

5. Cross-check with Threat Feeds

Use AbuseIPDB / OTX API to validate suspicious IPs seen in traffic.

import requests
API_KEY = "YOUR_API_KEY"
ip = "192.168.1.50"
resp = requests.get(f"https://api.abuseipdb.com/api/v2/check?ipAddress={ip}",
    headers={"Key": API_KEY, "Accept": "application/json"})
print(resp.json())

6. Logging & Alerts

• Configure Elasticsearch + Kibana or Grafana Loki for log centralization.

• Send alerts to Telegram via bot API when suspicious devices are detected.

7. Optional – Physical Surveillance Add-on

• Use Raspberry Pi Camera + motion detection (via MotionEye or OpenCV).

• Trigger alerts when stalkers are physically near while digital traces are also logged.

 Use Cases

• Individuals at risk of stalkerware: Detect hidden devices in their homes or vicinity.

• Enterprises: Monitor unauthorized Wi-Fi/Bluetooth devices in restricted areas.

• Cybersecurity researchers: Track attacker persistence via rogue access points.

 Security Hardening

• Change Pi’s default creds & enable 2FA.

• Use a VPN tunnel for remote alerts.

• Keep logs encrypted & stored securely.

• Regularly update Pi OS and detection tools.

 CyberDudeBivash Recommendations

• Always validate false positives: Not every rogue beacon = attacker.

• Integrate with Threat Intel feeds to add context.

• Consider this tool a supplement, not a replacement, for enterprise-grade NDR/EDR.

Raspberry Pi surveillance detector, stalkerware detection, wireless threat hunting, Bluetooth tracking tool, Wi-Fi beacon analysis, personal cybersecurity device

#RaspberryPi #SurveillanceDetector #Stalkerware #WirelessSecurity #BluetoothThreats #CyberDudeBivash #ThreatIntel