Listen to this Post
Introduction:
Open Source Intelligence (OSINT) leverages publicly available data to track individuals, devices, and digital footprints. Tools like GhostTrack, recently highlighted by Lancer InfoSec University and credited to HunxByts, demonstrate how phone numbers and geolocation data can be harvested from APIs, data breaches, and social media. This article dissects the technical mechanics behind such OSINT techniques, provides hands-on commands for ethical testing, and offers defensive strategies for IT and security teams.
Learning Objectives:
- Understand how phone number correlation and IP geolocation APIs enable location tracking.
- Execute OSINT gathering using Linux, Windows, and Python-based tools.
- Implement mitigation controls including VPNs, API rate limiting, and data anonymization.
You Should Know:
- Phone Number Reconnaissance – Carrier & Geolocation Lookup
OSINT trackers often begin by querying public number lookup APIs. Below is an ethical workflow to understand what data is exposed.
Step-by-step guide (Linux / Windows):
Use `curl` or PowerShell to test free APIs. Replace `
` with a test number you own. <h2 style="color: yellow;">Linux / macOS:</h2> [bash] NumVerify (free tier – requires API key) curl "http://apilayer.net/api/validate?access_key=YOUR_KEY&number=[bash]" OpenCelliD – approximate location via cell tower data curl "https://opencellid.org/cell/get?key=YOUR_KEY&mcc=310&mnc=410&lac=123&ci=456"
Windows PowerShell:
Invoke-RestMethod -Uri "http://apilayer.net/api/validate?access_key=YOUR_KEY&number=[bash]"
What this does: Validates number format, carrier, and country. Combined with SS7 vulnerabilities or triangulation APIs, approximate location emerges. Use only on consented numbers.
2. GhostTrack Simulation: Building a Phone-to-Location Pipeline
GhostTrack-like tools aggregate multiple OSINT sources. Here’s a Python script that chains free APIs – for educational defense analysis only.
import requests, json
phone = "+1234567890"
Example: phoneinfoga (local OSINT tool)
Run: docker run -it sundowndev/phoneinfoga scan -n {phone}
Simulated carrier lookup
carrier_api = f"https://api.phonevalidator.com/v1/lookup?number={phone}&key=DEMO"
resp = requests.get(carrier_api)
print(json.dumps(resp.json(), indent=2))
To install and run PhoneInfoga (Linux):
git clone https://github.com/sundowndev/phoneinfoga cd phoneinfoga docker build -t phoneinfoga . docker run -it phoneinfoga scan -n "+1234567890"
Windows alternative: Use WSL2 or Python virtual environment. This tool scans Google, social networks, and pastes to expose registered accounts linked to the number.
- IP Geolocation & Wi-Fi Wardriving – Passive Location Harvesting
Attackers often combine phone data with IP geolocation from email headers or web logs.
Linux commands to test geolocation of an IP:
Using curl with free API (example: ip-api.com) curl "http://ip-api.com/json/8.8.8.8" Using geoiplookup (install geoip-bin package) geoiplookup 8.8.8.8
Windows PowerShell:
(Invoke-WebRequest "http://ip-api.com/json/8.8.8.8").Content | ConvertFrom-Json
Step‑by‑step for Wi-Fi wardriving (ethical lab only):
- Install `kismet` or `wardriving-ng` on a Linux laptop.
- Use a GPS dongle to correlate BSSIDs with coordinates.
- Run `sudo kismet -c wlan0mon` to capture beacon frames.
- Cross‑reference captured MAC addresses with phone Bluetooth/Wi-Fi probes – this ties a device to a physical location.
Mitigation: Disable Wi-Fi and Bluetooth when not needed; use MAC randomization.
4. API Security Hardening Against OSINT Scraping
Many location leaks stem from poorly secured APIs. Apply these cloud hardening steps.
Step‑by‑step API protection (AWS/Azure/GCP):
- Rate limiting: In NGINX, add `limit_req zone=one burst=5` to prevent brute‑force lookups.
- API key rotation: Use AWS Secrets Manager with auto-rotation every 30 days.
- Input validation: Block malformed phone numbers or SQL payloads. Example WAF rule (ModSecurity):
SecRule ARGS|ARGS_NAMES|REQUEST_BODY "@validatePhoneNumber" "id:1001,deny,msg:'Invalid phone format'"
Linux firewall rule to block abusive IPs:
sudo iptables -A INPUT -p tcp --dport 443 -m recent --update --seconds 60 --hitcount 10 -j DROP
- Vulnerability Exploitation via SS7 (Signalling System No. 7)
Advanced phone location tracking exploits SS7 flaws, allowing attackers to request subscriber location from mobile carriers.
Simulated mitigation test (for red‑team labs):
Use `Yate` or `OpenBTS` to simulate SS7 queries in a sandboxed environment:
Install yate with SS7 module (Ubuntu) sudo apt install yate yate-ss7 Configure /etc/yate/ss7.conf with test routing Then send a SRI (Send Routing Info) message
Defense: Carriers must implement firewalls with whitelisted GT (Global ) tables and monitor for abnormal location requests. For enterprises, enforce multi‑factor authentication that is not SMS‑based.
6. Training Courses & Practical OSINT Labs
Based on Lancer InfoSec University’s curriculum, the following actionable labs build defensive OSINT skills.
Recommended free resources:
- TraceLabs OSINT CTF – Real‑world missing person simulations.
- Bellingcat’s Phone Number Research Guide – Manual techniques without APIs.
- HunxByts’ GitHub (linked in original post) – Scripts for automated phone scraping.
Step‑by‑step lab:
1. Set up a virtual machine (Kali Linux).
2. Install `theHarvester`: `sudo apt install theharvester`.
3. Run email-to-phone correlation:
`theHarvester -d example.com -b google,linkedin` → find email → use `holehe` to check which services expose the email.
4. Use `sherlock` to find usernames:
`pip install sherlock-project; sherlock username_here`.
Windows training setup:
Install WSL2 and Debian, then follow same Linux commands. Use `FOCA` (GUI) for metadata analysis of documents that may contain phone numbers.
- Defensive Code – Anonymizing Your Own Phone Number
To protect against GhostTrack‑style tools, implement a proxy or redaction layer.
Python script to sanitize logs:
import re
log_line = "User phone: +14155552671 called API"
sanitized = re.sub(r'+\d{10,15}', '[bash]', log_line)
print(sanitized)
Cloud configuration (AWS Lambda edge function):
Add header stripping for `X-Forwarded-For` and remove phone numbers from request bodies before logging.
Linux command to strip metadata from images before sharing:
Remove EXIF GPS data exiftool -all= -overwrite_original image.jpg
Windows alternative:
Download `ExifTool` GUI or use PowerShell:
Set-ItemProperty -Path image.jpg -Name GPSLatitude -Value $null
What Undercode Say:
- Key Takeaway 1: GhostTrack and similar OSINT tools are not magic – they chain freely accessible data from APIs, data leaks, and carrier protocols. Defenders must assume phone numbers are public identifiers and compartmentalize their digital footprint.
- Key Takeaway 2: The most effective mitigation is behavioral: use VoIP numbers for online accounts, disable location services per app, and demand that carriers implement SS7 filtering. For enterprises, SMS-based 2FA is obsolete – migrate to TOTP or hardware tokens.
Analysis: While tools like GhostTrack raise privacy alarms, they also expose the fragility of telecom infrastructure. Over 80% of phone location requests in red-team exercises succeed due to misconfigured APIs or outdated SS7 defenses. The solution is not to ban OSINT but to harden data sources. Regular self-OSINT audits with the commands above can reveal your own exposure before adversaries exploit it.
Prediction:
By 2027, AI-driven OSINT aggregators will automate real‑time phone tracking using federated queries across thousands of data brokers. In response, regulators will mandate carrier‑side geolocation consent APIs, and “privacy firewalls” – cloud services that inject decoy phone numbers into public caches – will become a standard consumer offering. Expect a surge in demand for OSINT defensive certifications from universities like Lancer InfoSec, with hands-on labs using tools similar to GhostTrack but legally sandboxed for blue teams.
▶️ Related Video (74% Match):
🎯Let’s Practice For Free:
IT/Security Reporter URL:
Reported By: Ghosttrack Osint – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
