diff --git a/AirlockTools.py b/AirlockTools.py
index 6d3c194..2c3b99c 100644
--- a/AirlockTools.py
+++ b/AirlockTools.py
@@ -61,7 +61,7 @@ def menu():
 		if choice == '5':
 			
 			executionhist = utils.allowlist.allowlistexechistories(url,True)
-			print(executionhist)
+			#print(executionhist)
 
 			aggregated = utils.hashfunctions.aggregateHashes(executionhist)
 			print(aggregated)
diff --git a/utils/allowlist.py b/utils/allowlist.py
index 6d86f2e..df7e042 100644
--- a/utils/allowlist.py
+++ b/utils/allowlist.py
@@ -35,9 +35,12 @@ def allowlistexechistories(url, outputjson: bool):
                 if (datetime.date.today() - datetime.timedelta(days=1) > datetime.datetime.strptime(item['datetime'].replace(' +0000 UTC', ''), '%Y-%m-%dT%H:%M:%SZ').date()):
                     pass
                 else:
-                    json_output['response']['exechistories'].append(json_response_data['response']['exechistories'])
+                    #json_output['response']['exechistories'].append(json_response_data['response']['exechistories'][1])
+                    for output in json_response_data['response']['exechistories']:
+                        json_output['response']['exechistories'].append(output)
+    json_output = json.dumps(json_output)
     if outputjson == True:
-        return (json_output)
+        return json_output
     #endpoint = url + '/v1/logging/exechistories'
     #payload_dict = {
     #    "type":[1, 2, 6, 7],
diff --git a/utils/hashfunctions.py b/utils/hashfunctions.py
index 6c41197..966ba69 100644
--- a/utils/hashfunctions.py
+++ b/utils/hashfunctions.py
@@ -8,12 +8,12 @@ def aggregateHashes(executions_json) -> pd.DataFrame:
     """
     Takes the executions,  aggregates all the data with sha256 as primary, then returns aggregated dataframe
     """
-    data = executions_json
+    data = json.loads(executions_json)
     df = pd.DataFrame(data["response"]["exechistories"])
 
     if df.empty:
          return df
-
+    print(df)
     # Aggregate by sha256, deduplicate lists, and preserve order
     agg_df = df.groupby("sha256").agg(lambda x: list(dict.fromkeys(x))).reset_index()