new: [backend:exercies] Added equals_any comparison operator and improved scamcall

exercise.py

@@ -217,7 +217,7 @@ def get_model_action(data: dict):
 def is_accepted_query(data: dict) -> bool:
     model, action = get_model_action(data)
     if model in ['Event', 'Attribute', 'Object', 'Tag',]:
-        if action in ['add', 'edit', 'delete', 'publish']:
+        if action in ['add', 'edit', 'delete', 'publish', 'tag']:
             # # improved condition below. It blocks some queries
             # if data['Log']['change'].startswith('attribute_count'):
             #     return False

exercises/scam-call-encoding.json

@@ -169,7 +169,7 @@
         "inject_uuid": "4c242d49-fcf7-4c76-974b-6d5983c0eff9",
         "reporting_callback": [],
         "requirements": {
-          "inject_uuid": ""
+          "inject_uuid": "de9f4c9b-dc97-4e84-85f3-859f30d3a3cd"
         },
         "sequence": {
           "completion_trigger": [
@@ -340,7 +340,7 @@
                 }
               },
               {
-                ".Event.Object[].Attribute[] | select((.type == \"domain\")).value": {
+                ".Event.Object[].Attribute[] | select((.type == \"domain\") or (.type == \"hostname\")).value": {
                   "extract_type": "all",
                   "comparison": "equals",
                   "values": [
@@ -454,8 +454,8 @@
                 }
               },
               {
-                ".Event.Object[] | select((.name == \"domain-ip\")).distribution": {
-                  "comparison": "contains",
+                ".Event.Object[] | select((.name == \"person\")).distribution": {
+                  "comparison": "equals_any",
                   "values": [
                     "0",
                     "1",

inject_evaluator.py

@@ -46,6 +46,8 @@ def eval_condition_str(evaluation_config: dict, data_to_validate: str) -> bool:
         return len(intersection) == len(values_set)
     elif comparison_type == 'equals':
         return data_to_validate == values[0]
+    elif comparison_type == 'equals_any':
+        return data_to_validate in values
     elif comparison_type == 'regex':
         return re.fullmatch(values[0], data_to_validate)
     elif comparison_type == 'count':