diff --git a/scripts/lantern.py b/scripts/lantern.py
index 1a8a176..e4dbd66 100644
--- a/scripts/lantern.py
+++ b/scripts/lantern.py
@@ -392,7 +392,7 @@ Maintenance:
                                 rows2delete= [] # it is an empty list at first
                                 for i,j in csvdf.iterrows():
                                     row=csvdf.loc[i,:].values.tolist()
-                                    print_colors(f"{row}")
+                                    #print_colors(f"{row}")
 
 
 
@@ -443,7 +443,8 @@ Maintenance:
                                                     uvdf.to_csv(unverifiedcsvfile, index=False)
                                                     print_colors("[+] New row added to your own unverified.csv file!")
                                                 else:
-                                                    print_colors('[-] Skipping row as it is already added in {w} {row}',is_error=True)
+                                                    pass
+                                                    #print_colors(f'[-] Skipping row as it is already added in {w} {row}',is_error=True)
 
 
 
@@ -455,10 +456,10 @@ Maintenance:
                                         seword=sedf.at[k, 'sensitive-words']
                                         if any(seword in str(x) for x in row) == True:
                                             if csvdf.at[i, 'Sensitive'] != 'NO':
-                                                print_colors("Marking row", i,"as sensitive, as it matches with a sensitive word")
+                                                print_colors(f"Marking row {i} as sensitive, as it matches with a sensitive word")
                                                 csvdf.at[i, 'Sensitive']='YES'
 
-                                    print_colors(f'[-] Rows to delete: {rows2delete}', is_error=True)
+                                    #print_colors(f'[-] Rows to delete: {rows2delete}', is_error=True)
                                 # only delete rows after you've gone through all the unverified.csv OR verified.csv rows'
                                 for i in rows2delete:
                                     row=csvdf.loc[i,:].values.tolist()
@@ -604,7 +605,7 @@ Maintenance:
                                             print_colors(f"Marking row {i} as sensitive, as it matches with a sensitive word")
                                             csvdf.at[i, 'Sensitive']='YES'
 
-                            print_colors(f"[-] Rows to delete: {rows2delete}")
+                            #print_colors(f"[-] Rows to delete: {rows2delete}")
 
                             for i in rows2delete:
                                 row=csvdf.loc[i,:].values.tolist()
@@ -916,7 +917,7 @@ Maintenance:
                         rows2delete= [] # it is an empty list at first
                         for i,j in csvdf.iterrows():
                             row=csvdf.loc[i,:].values.tolist()
-                            print_colors(f"{row}")
+                            #print_colors(f"{row}")
 
 
 
@@ -940,7 +941,7 @@ Maintenance:
                             if IsUrlValid(csvdf.at[i, 'Instance']) is False or IsCategoryValid(csvdf.at[i, 'Category']) is False or IsNameValid(csvdf.at[i, 'Name']) is False or IsUrlValid(csvdf.at[i, 'URL']) is False or IsStatusValid(csvdf.at[i, 'Sensitive']) is False or  IsDescriptionValid(csvdf.at[i, 'Description']) is False or  IsStatusValid(csvdf.at[i, 'Status']) is False or  IsScoreValid(csvdf.at[i, 'Score']) is False:
                                 if i not in rows2delete:
                                     print_colors(f"Marking row {i} for deletion, as it has invalid inputs")
-                                    print_colors(f"{row}")
+                                    #print_colors(f"{row}")
                                     print(IsUrlValid(csvdf.at[i, 'Instance']), IsCategoryValid(csvdf.at[i, 'Category']), IsNameValid(csvdf.at[i, 'Name']), IsUrlValid(csvdf.at[i, 'URL']), IsStatusValid(csvdf.at[i, 'Sensitive']), IsDescriptionValid(csvdf.at[i, 'Description']), IsStatusValid(csvdf.at[i, 'Status']),  IsScoreValid(csvdf.at[i, 'Score']))
                                     rows2delete.append(i)
                                     read=input("Continue?")
diff --git a/scripts/utils.py b/scripts/utils.py
index 27cb52e..5099baf 100644
--- a/scripts/utils.py
+++ b/scripts/utils.py
@@ -1,4 +1,5 @@
 import re
+import os
 import requests
 from PIL import Image
 
@@ -33,26 +34,6 @@ def CheckUrl(url):
 
 
 #### PROTECTIONS AGAINST MALICIOUS CSV INPUTS ####
-
-def CheckBannerURL(path: str) -> str:
-	"""
-	In: http://participant.onion/participants/participant.onion/banner
-	serves to know what the real banner type is, between png, jpg, jpeg and .gif
-	Out: {png,jpg,jpeg,gif,NOBANNER} 
-	"""	
-	bannercounter=0
-	# TODO: try to reach (using requests) the URL/banner.{png,jpg,jpeg,gif}
-		# TODO: if any of them succeed,
-			# TODO: Check if the banner file is valid using IsBannerValid()
-				#TODO: if valid: return png/jpg/jpeg/gif
-				#TODO: if invalid REMOVE the file, and keep going (worst case = return NOBANNER at the bottom)
-		# TODO: if any of them fail, it should be able to continue
-		# TODO: if one of them fail, it must keep going and just increment bannercounter once 
-		# TODO: if ALL of them fail, it must return NOBANNER
-			#TODO in lantern.py: handle when it returns png,jpg,jpeg and gif
-			#TODO in php: handle when it is not png, how to make sure it finds if its jpg,jpeg or gif
-			#TODO in lantern.py: handle when it returns NOBANNER
-
 def IsBannerValid(path: str) -> bool:
         """
         Checks if the banner.png file has the correct dimensions (240x60)
@@ -66,8 +47,10 @@ def IsBannerValid(path: str) -> bool:
         if width != 240 or height != 60:
                 print("INVALID BANNER DIMENSIONS, HEIGHT=",height," WIDTH=",width)
                 return False
-        # TODO:check the filesize, as you can have a gif that has
-        # TODO: test it on all 4 filetypes with both correct and incorrect resolutions, and with a gif that has the correct resolutions but is more than 3mb
+        filesizeMB=os.path.getsize(path)/1024/1024
+        if filesizeMB > 5:
+                print("Banner filesize too large (>5Mb): ",os.path.getsize(path)/1024/1024,"MB")
+                return False
         return True