The Digital Detective Agency

Imagine you're a detective! 🕵️ There are two big ideas you need to know. The first is OSINT, which stands for Open Source Intelligence. That’s a fancy way of saying "finding clues that are hiding in plain sight." Think of it as looking at a public photo and noticing a tiny detail in the background that solves a puzzle.

The second is Social Engineering. This is when a trickster tries to *fool* you into giving them a clue, like your password. Today, we're going to learn how to spot these tricks by becoming super-sleuths!

So, how do these two ideas connect? Simple. A social engineer (the trickster) first uses OSINT (the public clues) to learn about their target. They might see you post a photo of your dog, learn its name from the caption, and then use that name as a guess for your password! That's why we learn to defend against both—by thinking like a detective. 🧠

from PIL import Image

def scrub_exif(image_path):
    # Open the image
    image = Image.open(image_path)
    
    # Get pixel data without the extra info
    data = list(image.getdata())
    image_without_exif = Image.new(image.mode, image.size)
    image_without_exif.putdata(data)
    
    # Save the clean image
    image_without_exif.save("scrubbed_photo.jpg")
    print("EXIF data removed! ✨")

scrub_exif("my_dog_photo.jpg")