diff --git a/deepface/modules/detection.py b/deepface/modules/detection.py
index c31a026..f413f60 100644
--- a/deepface/modules/detection.py
+++ b/deepface/modules/detection.py
@@ -90,6 +90,22 @@ def extract_faces(
 
     height, width, _ = img.shape
 
+    def is_valid_landmark(coord: Optional[Union[tuple, list]]) -> bool:
+        """
+        Check if a landmark coordinate is within valid image bounds.
+
+        Args:
+            coord (tuple or list or None): (x, y) coordinate to check.
+        Returns:
+            bool: True if coordinate is valid and within bounds, False otherwise.
+        """
+        if coord is None:
+            return False
+        if not (isinstance(coord, (tuple, list)) and len(coord) == 2):
+            return False
+        x, y = coord
+        return 0 <= x < width and 0 <= y < height
+
     base_region = FacialAreaRegion(x=0, y=0, w=width, h=height, confidence=0)
 
     if detector_backend == "skip":
@@ -149,22 +165,36 @@ def extract_faces(
         w = min(width - x - 1, int(current_region.w))
         h = min(height - y - 1, int(current_region.h))
 
+        landmarks = {
+            "left_eye":current_region.left_eye,
+            "right_eye":current_region.right_eye,
+            "nose":current_region.nose,
+            "mouth_left":current_region.mouth_left,
+            "mouth_right":current_region.mouth_right
+        }
+
+        # Sanitize landmarks - set invalid ones to None
+        for key, value in landmarks.items():
+            if not is_valid_landmark(value):
+                landmarks[key] = None
+
+
         facial_area = {
             "x": x,
             "y": y,
             "w": w,
             "h": h,
-            "left_eye": current_region.left_eye,
-            "right_eye": current_region.right_eye,
+            "left_eye": landmarks["left_eye"],
+            "right_eye": landmarks["right_eye"],
         }
 
         # optional nose, mouth_left and mouth_right fields are coming just for retinaface
         if current_region.nose is not None:
-            facial_area["nose"] = current_region.nose
+            facial_area["nose"] = landmarks["nose"]
         if current_region.mouth_left is not None:
-            facial_area["mouth_left"] = current_region.mouth_left
+            facial_area["mouth_left"] = landmarks["mouth_left"]
         if current_region.mouth_right is not None:
-            facial_area["mouth_right"] = current_region.mouth_right
+            facial_area["mouth_right"] = landmarks["mouth_right"]
 
         resp_obj = {
             "face": current_img,
diff --git a/tests/test_landmark_sanitization.py b/tests/test_landmark_sanitization.py
new file mode 100644
index 0000000..1cdf483
--- /dev/null
+++ b/tests/test_landmark_sanitization.py
@@ -0,0 +1,70 @@
+import numpy as np
+import pytest
+from deepface.modules.detection import extract_faces, DetectedFace, FacialAreaRegion
+from deepface.commons.logger import Logger
+
+logger = Logger()
+
+def is_valid_landmark(coord, width, height):
+    if coord is None:
+        return False
+    if not (isinstance(coord, (tuple, list)) and len(coord) == 2):
+        return False
+    x, y = coord
+    return 0 <= x < width and 0 <= y < height
+
+def sanitize_landmarks(region, width, height):
+    landmarks = {
+        "left_eye": region.left_eye,
+        "right_eye": region.right_eye,
+        "nose": region.nose,
+        "mouth_left": region.mouth_left,
+        "mouth_right": region.mouth_right,
+    }
+    for key, value in landmarks.items():
+        if not is_valid_landmark(value, width, height):
+            landmarks[key] = None
+    return landmarks
+
+def test_sanitize_landmarks():
+    img = np.zeros((100, 100, 3), dtype=np.uint8)
+    height, width = img.shape[:2]
+    region = FacialAreaRegion(
+        x=10, y=10, w=50, h=50,
+        left_eye=(-5, 20),  # invalid
+        right_eye=(20, 200),  # invalid
+        nose=(30, 30),  # valid
+        mouth_left=(150, 20),  # invalid
+        mouth_right=(20, -10),  # invalid
+        confidence=0.9
+    )
+    landmarks = sanitize_landmarks(region, width, height)
+    logger.info(f"Sanitized landmarks: {landmarks}")
+    assert landmarks["left_eye"] is None
+    assert landmarks["right_eye"] is None
+    assert landmarks["nose"] == (30, 30)
+    assert landmarks["mouth_left"] is None
+    assert landmarks["mouth_right"] is None
+    logger.info("Test passed: Invalid landmarks are sanitized to None.")
+
+def test_extract_faces_sanitizes_landmarks(monkeypatch):
+    img = np.zeros((100, 100, 3), dtype=np.uint8)
+    facial_area = FacialAreaRegion(
+        x=10, y=10, w=50, h=50,
+        left_eye=(-5, 20),  # invalid
+        right_eye=(20, 200),  # invalid
+        nose=(30, 30),  # valid
+        mouth_left=(150, 20),  # invalid
+        mouth_right=(20, -10),  # invalid
+        confidence=0.9
+    )
+    detected_face = DetectedFace(img=img, facial_area=facial_area, confidence=0.9)
+    monkeypatch.setattr("deepface.modules.detection.detect_faces", lambda *args, **kwargs: [detected_face])
+    result = extract_faces(img, detector_backend="opencv", enforce_detection=False)
+    facial_area_out = result[0]["facial_area"]
+    logger.info(f"Output facial_area: {facial_area_out}")
+    assert facial_area_out["left_eye"] is None
+    assert facial_area_out["right_eye"] is None
+    assert facial_area_out.get("nose") == (30, 30)
+    assert facial_area_out.get("mouth_left") is None
+    assert facial_area_out.get("mouth_right") is None 
\ No newline at end of file