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Introduction
Picture-based Open-Source Intelligence (OSINT) is evolving rapidly, with geolocation data extraction becoming a powerful tool for cybersecurity, investigations, and reputation management. Henk G.’s beta tool demonstrates how drag-and-drop image analysis, combined with cloud access, can yield verified results—raising both opportunities and risks if geolocation restrictions are disabled by default.
Learning Objectives
- Understand how geolocation metadata in images can be exploited for OSINT.
- Learn how to protect sensitive images from unintended data exposure.
- Explore ethical and regulatory considerations (NIS2, GDPR) around geolocation data.
You Should Know
1. Extracting Geolocation Data from Images (ExifTool)
Command:
exiftool -GPSLatitude -GPSLongitude image.jpg
Step-by-Step Guide:
1. Install ExifTool on Linux:
sudo apt install libimage-exiftool-perl
2. Run the command on an image to extract GPS coordinates.
3. Use tools like Google Maps to plot the location.
Why It Matters: Attackers can use this to track individuals or map secure facilities.
2. Disabling Geolocation in Photos (Windows/Linux)
Windows (PowerShell):
Get-ChildItem -Path "C:\Photos\" -Recurse | ForEach-Object { Set-ItemProperty $_.FullName -Name "GeoTag" -Value $null }
Linux (Mat2 for Metadata Scrubbing):
mat2 --inplace image.jpg
Step-by-Step Guide:
1. Install `mat2` via:
sudo apt install mat2
2. Run it on files to strip metadata.
Why It Matters: Prevents unintentional data leaks in corporate or personal photos.
3. Detecting Image-Based OSINT Attacks (Python Script)
Code Snippet:
from PIL import Image
import piexif
def check_geodata(image_path):
img = Image.open(image_path)
exif_data = img._getexif()
if exif_data and piexif.GPSIFD in exif_data:
print("Geolocation data found!")
else:
print("No geodata detected.")
Step-by-Step Guide:
1. Install dependencies:
pip install Pillow piexif
2. Run the script to audit images.
Why It Matters: Proactively identifies exposed location data.
4. Cloud Hardening: Restricting Geolocation APIs
AWS S3 Bucket Policy (Example):
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Deny",
"Principal": "",
"Action": "s3:GetObject",
"Resource": "arn:aws:s3:::your-bucket/",
"Condition": {
"StringLike": {
"s3:ExistingObjectTag/geo": "true"
}
}
}
]
}
Step-by-Step Guide:
1. Tag sensitive files with `geo=true`.
2. Apply this policy to block access.
Why It Matters: Prevents unauthorized geodata extraction from cloud storage.
5. Ethical OSINT: Compliance with NIS2/GDPR
Key Considerations:
- NIS2 Directive: Requires strict data protection for critical infrastructure.
- GDPR: Mandates “privacy by design” for geolocation data.
Actionable Step:
Batch-scrub metadata for GDPR compliance
find /path/to/images -type f -name ".jpg" -exec mat2 --inplace {} \;
What Undercode Say
- Key Takeaway 1: Geolocation OSINT tools are powerful but risky—disable metadata by default.
- Key Takeaway 2: Regulatory frameworks (NIS2, GDPR) demand proactive geodata protection.
Analysis:
The rise of automated geolocation extraction tools poses significant privacy and security risks. Organizations must implement metadata stripping policies, enforce cloud restrictions, and train employees on data hygiene. Meanwhile, ethical hackers can leverage these tools for threat intelligence—balancing innovation with compliance.
Prediction
As AI-enhanced geolocation OSINT matures, we’ll see:
1. More breaches from unscrubbed image metadata.
2. Stricter regulations penalizing negligent data exposure.
3. Defensive tools integrating real-time metadata detection.
Proactive measures today will define resilience tomorrow.
🎯Let’s Practice For Free:
IT/Security Reporter URL:
Reported By: Henk Groenewoud – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
