csd4ni3l/grass_touching_captcha
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fix leaderboard looks, add OCR, make the captcha only show if you add a username and password

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csd4ni3l
2025-08-12 15:17:43 +02:00
parent 453250b862
commit 623bd155cb
10 changed files with 242 additions and 225 deletions
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1
.gitignore vendored
View File

@@ -180,3 +180,4 @@ test*.py
logs/
logs
uploads/
data.db

17
README.md
View File

@@ -1 +1,18 @@
A captcha/login page which only allows you to register if you post an image of you touching grass
To install, you have to install everything in requirements.txt or do uv sync, but you also have to install easyocr.
On my machine, i did this because i wanted to install the CPU version of torch or otherwise it would install NVIDIA bloat.
If you want to do the same, do:
```bash
uv pip install torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cpu
uv pip install easyocr
```
or the same without uv if you use pip.
If you want to install it with GPU acceleration for the OCR part, do:
```bash
uv pip install easyocr
```
or the same without uv if you use pip.

2
constants.py
View File

@@ -9,5 +9,7 @@ UPLOAD_DIR = "uploads"
MINIMUM_COSINE_SIMILARITY = 0.7
WORD_TO_COMPARE = "hand touching grass"
DATABASE_FILE = "data.db"
MINIMUM_OCR_SIMILARITY = 0.7
OCR_CHALLENGE_LENGTH = 2
UPLOAD_DIR = os.path.join(os.getcwd(), UPLOAD_DIR)

130
main.py
View File

@@ -1,9 +1,11 @@
from flask import Flask, redirect, url_for, render_template, request, Response, send_from_directory, g
from dotenv import load_dotenv
from constants import RICKROLL_LINK, UPLOAD_DIR, MINIMUM_COSINE_SIMILARITY, DATABASE_FILE
from jina import get_grass_touching_similarity
from constants import RICKROLL_LINK, UPLOAD_DIR, MINIMUM_COSINE_SIMILARITY, MINIMUM_OCR_SIMILARITY, DATABASE_FILE
from PIL import Image
from jina import get_grass_touching_similarity
from ocr_check import generate_challenge, check_text_similarity
import os, flask_login, uuid, base64, sqlite3, bcrypt, secrets, hashlib, time
if os.path.exists(".env"):
@@ -15,6 +17,9 @@ app.secret_key = os.environ["FLASK_SECRET_KEY"]
login_manager = flask_login.LoginManager()
login_manager.init_app(app)
global challenges
challenges = {}
os.makedirs("uploads", exist_ok=True)
def get_db():
@@ -56,6 +61,75 @@ def user_loader(user_id):
user.id = user_id
return user
@app.route("/generate_challenge")
def generate_challenge_route():
username = request.json["username"]
if not username in challenges:
challenges[username] = generate_challenge(username)
return challenges[username]
def resize_image_file(path, max_side=256, fmt="JPEG"):
img = Image.open(path)
scale = max_side / max(img.size)
if scale < 1:
img = img.resize((int(img.width * scale), int(img.height * scale)), Image.LANCZOS)
img.save(path, format=fmt)
@app.route("/submit_challenge", methods=["POST"])
def submit_challenge():
try:
username, image_type, image_data = request.json["username"], request.json["image_type"], request.json["image_data"].encode("utf-8")
if image_type == "jpeg":
image_data = image_data[23:] # data:image/jpeg;base64,
else:
image_data = image_data[22:] # data:image/png;base64,
image_uuid = str(uuid.uuid4())
if image_type not in ["png", "jpeg"]:
return Response("Invalid file type.", 400)
if os.path.commonprefix((os.path.realpath(f"{UPLOAD_DIR}/{image_uuid}.{image_type}"), UPLOAD_DIR)) != UPLOAD_DIR:
return Response("Why are you trying path traversal :C", 400)
actual_image_data = base64.b64decode(image_data)
image_hash = hashlib.sha512(actual_image_data).hexdigest()
cur = get_db().cursor()
cur.execute("SELECT image_hash FROM Images WHERE image_hash = ?", (image_hash,))
if cur.fetchone():
return Response("You can touch grass multiple times. I believe in you. Dont submit the same images.", 400)
cur.execute("INSERT INTO Images (image_hash, username, filename) VALUES (?, ?, ?)", (image_hash, username, image_uuid))
get_db().commit()
with open(f"{UPLOAD_DIR}/{image_uuid}.{image_type}", "wb") as file:
file.write(actual_image_data)
resize_image_file(f"{UPLOAD_DIR}/{image_uuid}.{image_type}", fmt="JPEG" if image_type == "jpeg" else "png")
except:
import traceback; traceback.print_exc()
return Response("Unknown error", 400)
if not challenges.get(username):
return Response("You havent started a challenge yet.", 400)
detected_text, text_similarity = check_text_similarity(f"{UPLOAD_DIR}/{image_uuid}.{image_type}", challenges[username])
challenges.pop(username)
if not text_similarity >= MINIMUM_OCR_SIMILARITY:
return Response(f"The text is incorrect on the image. Similarity: {round(text_similarity * 100, 2)}% Detected Text: {detected_text}")
grass_touching_similarity = get_grass_touching_similarity(request.url_root.rstrip('/').replace("http://", "https://") + url_for('uploads', filename=f"{image_uuid}.{image_type}"))
if not grass_touching_similarity >= MINIMUM_COSINE_SIMILARITY:
os.remove(f"{UPLOAD_DIR}/{image_uuid}.{image_type}")
return Response(f"Imagine not touching grass. Cosine similarity: {grass_touching_similarity}", 401)
return Response(f"/uploads/{image_uuid}.{image_type}", 200)
@app.route("/app")
@flask_login.login_required
def application():
@@ -137,56 +211,6 @@ def register():
return redirect(url_for("application"))
def resize_image_file(path, max_side=256, fmt="JPEG"):
img = Image.open(path)
scale = max_side / max(img.size)
if scale < 1:
img = img.resize((int(img.width * scale), int(img.height * scale)), Image.LANCZOS)
img.save(path, format=fmt)
@app.route("/upload", methods=["POST"])
def upload():
try:
username, image_type, image_data = request.json["username"], request.json["image_type"], request.json["image_data"].encode("utf-8")
if image_type == "jpeg":
image_data = image_data[23:] # data:image/jpeg;base64,
else:
image_data = image_data[22:] # data:image/png;base64,
image_uuid = str(uuid.uuid4())
if image_type not in ["png", "jpeg"]:
return Response("Invalid file type.", 400)
if os.path.commonprefix((os.path.realpath(f"{UPLOAD_DIR}/{image_uuid}.{image_type}"), UPLOAD_DIR)) != UPLOAD_DIR:
return Response("Why are you trying path traversal :C", 400)
actual_image_data = base64.b64decode(image_data)
image_hash = hashlib.sha512(actual_image_data).hexdigest()
cur = get_db().cursor()
cur.execute("SELECT image_hash FROM Images WHERE image_hash = ?", (image_hash,))
if cur.fetchone():
return Response("You can touch grass multiple times. I believe in you. Dont submit the same images.", 400)
cur.execute("INSERT INTO Images (image_hash, username, filename) VALUES (?, ?, ?)", (image_hash, username, image_uuid))
get_db().commit()
with open(f"{UPLOAD_DIR}/{image_uuid}.{image_type}", "wb") as file:
file.write(actual_image_data)
resize_image_file(f"{UPLOAD_DIR}/{image_uuid}.{image_type}", fmt="JPEG" if image_type == "jpeg" else "png")
except:
import traceback; traceback.print_exc()
return Response("Unknown error", 400)
grass_touching_similarity = get_grass_touching_similarity(request.url_root.rstrip('/').replace("http://", "https://") + url_for('uploads', filename=f"{image_uuid}.{image_type}"))
if not grass_touching_similarity >= MINIMUM_COSINE_SIMILARITY:
return Response(f"Imagine not touching grass. Cosine similarity: {grass_touching_similarity}", 401)
return Response(f"/uploads/{image_uuid}.{image_type}", 200)
@app.route("/uploads/<filename>")
def uploads(filename):
return send_from_directory("uploads", filename)
@@ -211,4 +235,4 @@ def logout():
def unauthorized_handler():
return redirect("/login")
app.run(port=os.environ.get("PORT"), host=os.environ.get("HOST", "0.0.0.0"))
app.run(debug=True, port=os.environ.get("PORT"), host=os.environ.get("HOST", "0.0.0.0"))

15
ocr_check.py Normal file
View File

@@ -0,0 +1,15 @@
import easyocr, difflib, random, string
from constants import OCR_CHALLENGE_LENGTH
from english_words import get_english_words_set
words = list(get_english_words_set(['gcide'], lower=True, alpha=True))
reader = easyocr.Reader(['en'])
def check_text_similarity(image_path, text):
result = reader.readtext(image_path, allowlist=string.ascii_letters + string.digits)
image_text = ''.join([text[1] for text in result]).lower()
similarity = difflib.SequenceMatcher(None, text, image_text).ratio()
return image_text, similarity
def generate_challenge(username):
return f"{username} {' '.join([random.choice(words) for _ in range(OCR_CHALLENGE_LENGTH)])}"

4
pyproject.toml
View File

@@ -6,10 +6,10 @@ readme = "README.md"
requires-python = ">=3.11"
dependencies = [
"bcrypt>=4.3.0",
"dotenv>=0.9.9",
"english-words>=2.0.1",
"flask>=3.1.1",
"flask-login>=0.6.3",
"numpy>=2.3.2",
"pillow>=11.3.0",
"python-dotenv>=1.1.1",
"requests>=2.32.4",
]

8
requirements.txt
View File

@@ -6,11 +6,11 @@ blinker==1.9.0
# via flask
certifi==2025.8.3
# via requests
charset-normalizer==3.4.2
charset-normalizer==3.4.3
# via requests
click==8.2.1
# via flask
dotenv==0.9.9
english-words==2.0.1
# via grass-touching-captcha (pyproject.toml)
flask==3.1.1
# via
@@ -29,12 +29,10 @@ markupsafe==3.0.2
# flask
# jinja2
# werkzeug
numpy==2.3.2
# via grass-touching-captcha (pyproject.toml)
pillow==11.3.0
# via grass-touching-captcha (pyproject.toml)
python-dotenv==1.1.1
# via dotenv
# via grass-touching-captcha (pyproject.toml)
requests==2.32.4
# via grass-touching-captcha (pyproject.toml)
urllib3==2.5.0

13
templates/leaderboard.jinja2
View File

@@ -26,11 +26,18 @@
</div>
</nav>
<div class="d-flex justify-content-center align-items-center vh-100 bg-dark">
<h1>Leaderboard</h1>
<ul class="list-group">
<div class="card text-center shadow-lg" style="width: 400px;">
<div class="card-header bg-primary text-white">
<h3 class="mb-0">Leaderboard</h3>
</div>
<ul class="list-group list-group-flush">
{% for user in users %}
<li class="list-group-item {% if user.1 == current_username %}active{% endif %}">{{ user.0 }} - {{ user.1 }}</li>
<li class="list-group-item d-flex justify-content-between align-items-center
{% if user.1 == current_username %}list-group-item-success fw-bold{% endif %}">
<span>{{ loop.index }}. {{ user.1 }} ({{ user.0 }})</span>
</li>
{% endfor %}
</ul>
</div>
</div>
{% endblock%}

48
templates/register.jinja2
View File

@@ -5,7 +5,6 @@
<div class="d-flex justify-content-center align-items-center" style="height: 75vh;">
<div class="bg-white rounded rounded-5 border border-5 border-white p-4">
<h2>Register</h2>
<form target="/register" method="post">
<div class="form-group" style="margin-top: 4%;">
<label for="usernameinput">Username</label>
<input name="username" class="form-control" id="usernameinput" placeholder="Enter username">
@@ -17,15 +16,15 @@
</div>
<div class="form-group" style="margin-top: 4%;">
<div id="grass-touching-form" class="mb-3">
<div hidden id="grass-touching-form" class="mb-3">
<label class="form-label" for="file_input">Grass touching proof</label>
<div id="challengehelp">To complete this challenge, you need to submit a picture of you touching grass next to a paper containing the following text: Loading...</div>
<input accept="image/png, image/jpeg" name="file" type="file" class="form-control" id="file_input">
</div>
<small id="proofhelp" class="form-text text-muted">Dont worry! We wont tell your friends.</small>
</div>
<button disabled id="submit" type="submit" class="btn btn-primary mx-auto d-block" style="width: 100%; margin-top: 4%;">Submit</button>
</form>
<button id="submit" class="btn btn-primary mx-auto d-block" style="width: 100%; margin-top: 4%;">Submit</button>
</div>
</div>
@@ -33,6 +32,7 @@
function upload_success(image_url) {
document.getElementById("submit").disabled = false;
document.getElementById("submit").innerHTML = "Submit"
document.getElementById("submit").type = "submit"
document.getElementById("grass-touching-form").innerHTML += `<img class="preview-img" src="${image_url}"></img>`;
}
@@ -52,7 +52,7 @@ function upload_error(error_message) {
function upload_file(file_type, file_content) {
username_input = document.getElementById("usernameinput").value
fetch('{{ url_for("upload") }}', {
fetch('{{ url_for("submit_challenge") }}', {
method: "POST",
body: JSON.stringify({image_data: file_content, image_type: file_type, username: username_input}),
headers: {
@@ -107,8 +107,42 @@ function read_file () {
filereader.readAsDataURL(file_input.files[0]);
}
file_input = document.getElementById("file_input");
file_input.addEventListener("change", read_file);
function submit () {
username_input = document.getElementById("usernameinput")
grass_touching_form = document.getElementById("grass-touching-form")
if (grass_touching_form.hidden) {
if (username_input.value) {
grass_touching_form.hidden = false;
}
}
else {
read_file()
}
}
submit_button = document.getElementById("submit")
submit_button.addEventListener("click", submit)
function get_challenge() {
username_input = document.getElementById("usernameinput")
fetch('{{ url_for("generate_challenge") }}', {
method: "POST",
body: JSON.stringify({username: username_input.value}),
headers: {
"Content-type": "application/json"
}
}).then(response => {
response.text().then(challenge_text => {
if (challenge_text) {
document.getElementById("challengehelp").innerHTML = `To complete this challenge, you need to submit a picture of you touching grass next to a paper containing the following text: ${challenge_text}`
}
})
})
}
window.onload = getchallenge
</script>

189
uv.lock generated
View File

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