diff --git a/3-Web-App/1-Web-App/solution/web-app/app.py b/3-Web-App/1-Web-App/solution/web-app/app.py
index 7798680723..a8084bea81 100644
--- a/3-Web-App/1-Web-App/solution/web-app/app.py
+++ b/3-Web-App/1-Web-App/solution/web-app/app.py
@@ -1,32 +1,48 @@
-import numpy as np
-from flask import Flask, request, render_template
-import pickle
-
-app = Flask(__name__)
-
-model = pickle.load(open("../ufo-model.pkl", "rb"))
-
-
-@app.route("/")
-def home():
-    return render_template("index.html")
-
-
-@app.route("/predict", methods=["POST"])
-def predict():
-
-    int_features = [int(x) for x in request.form.values()]
-    final_features = [np.array(int_features)]
-    prediction = model.predict(final_features)
-
-    output = prediction[0]
-
-    countries = ["Australia", "Canada", "Germany", "UK", "US"]
-
-    return render_template(
-        "index.html", prediction_text="Likely country: {}".format(countries[output])
-    )
-
-
-if __name__ == "__main__":
-    app.run(debug=True)
+import hashlib
+import os
+import numpy as np
+from flask import Flask, request, render_template
+import joblib
+
+app = Flask(__name__)
+
+def _verify_model_integrity(path):
+    expected = os.environ.get("MODEL_SHA256", "")
+    if not expected:
+        raise RuntimeError("MODEL_SHA256 environment variable must be set to the expected SHA-256 hex digest of the model file")
+    sha256 = hashlib.sha256()
+    with open(path, "rb") as f:
+        for chunk in iter(lambda: f.read(8192), b""):
+            sha256.update(chunk)
+    digest = sha256.hexdigest()
+    if digest != expected:
+        raise RuntimeError("Model integrity check failed: file hash does not match MODEL_SHA256")
+
+_MODEL_PATH = "../ufo-model.pkl"
+_verify_model_integrity(_MODEL_PATH)
+model = joblib.load(_MODEL_PATH)
+
+
+@app.route("/")
+def home():
+    return render_template("index.html")
+
+
+@app.route("/predict", methods=["POST"])
+def predict():
+
+    int_features = [int(x) for x in request.form.values()]
+    final_features = [np.array(int_features)]
+    prediction = model.predict(final_features)
+
+    output = prediction[0]
+
+    countries = ["Australia", "Canada", "Germany", "UK", "US"]
+
+    return render_template(
+        "index.html", prediction_text="Likely country: {}".format(countries[output])
+    )
+
+
+if __name__ == "__main__":
+    app.run(debug=False)