Move scripts/techniques_from_data_source.py into master

CHANGELOG.md

@@ -1,3 +1,7 @@
+# V1.1 - 29 March 2019
+## New Scripts
+- Added [techniques_from_data_src.py](scripts/techniques_from_data_src.py).
+
 # V1.0 - 1 March 2019
 ## New Scripts
-- Added [techniques_data_sources_vis.py](scripts/techniques_data_sources_vis.py).
+- Added [techniques_data_sources_vis.py](scripts/techniques_data_sources_vis.py).

scripts/README.md

@@ -4,4 +4,5 @@ This folder contains one-off scripts for working with ATT&CK content. These scri
 
 | script | description |
 |:-------|:------------|
-| [techniques_data_sources_vis.py](techniques_data_sources_vis.py) | Generate the csv data used to create the "Techniques Mapped to Data Sources" visualization in the ATT&CK roadmap. Run `python techniques_data_sources_vis.py -h` for usage instructions. | 
+| [techniques_from_data_src.py](techniques_from_data_src.py) | Fetches the current ATT&CK STIX 2.0 objects from the ATT&CK TAXII server, prints all of the data sources listed in Enterprise ATT&CK, and then lists all the Enterprise techniques containing a given data source. Run `python3 techniques_from_data_source.py -h` for usage instructions. |
+| [techniques_data_sources_vis.py](techniques_data_sources_vis.py) | Generate the csv data used to create the "Techniques Mapped to Data Sources" visualization in the ATT&CK roadmap. Run `python3 techniques_data_sources_vis.py -h` for usage instructions. | 

scripts/techniques_from_data_source.py

@@ -0,0 +1,62 @@
+from stix2 import TAXIICollectionSource, Filter
+from taxii2client import Collection
+import argparse
+
+# Establish TAXII2 Collection instance for Enterprise ATT&CK collection
+collection = Collection("https://cti-taxii.mitre.org/stix/collections/95ecc380-afe9-11e4-9b6c-751b66dd541e/")
+# Supply the collection to TAXIICollection
+tc_src = TAXIICollectionSource(collection)
+
+def data_sources():
+    """returns all data sources in Enterprise ATT&CK"""
+    all_data_srcs = []
+
+    # Get all techniques in Enterprise ATT&CK
+    techniques = tc_src.query([Filter("type", "=", "attack-pattern")])
+
+    # Get all data sources in Enterprise ATT&CK
+    for tech in techniques:
+        if 'x_mitre_data_sources' in tech:
+            all_data_srcs += [
+                data_src for data_src in tech.x_mitre_data_sources
+                if data_src not in all_data_srcs
+            ]
+
+    return all_data_srcs
+
+def techniques(data_source):
+    """returns all techniques which contain the given data source."""
+    # Get all techniques that have Windows Registry as a data source
+    techs_with_data_src = tc_src.query([
+        Filter("type", "=", "attack-pattern"),
+        Filter("x_mitre_data_sources", "in", data_source)
+    ])
+
+    return techs_with_data_src
+
+
+
+if __name__ == "__main__":
+
+    parser = argparse.ArgumentParser(
+        description="Fetches the current ATT&CK STIX 2.0 objects from the ATT&CK TAXII server, prints all of the data sources listed in Enterprise ATT&CK, and then lists all the Enterprise techniques containing a given data source."
+    )
+    parser.add_argument("-data_source",
+        type=str,
+        default="Windows Registry",
+        help="the datasource by which to filter techniques. Default value is '%(default)s'."
+    )
+
+    args = parser.parse_args()
+
+    print("All data sources in Enterprise ATT&CK:\n")
+    print("\n".join(data_sources()))
+    print("\n")
+
+    selected_ds = "Windows Registry"
+    technique_list = techniques(args.data_source)
+    # Get names of techniques
+    tech_names = [tech.name for tech in technique_list]
+
+    print(f"The following {len(tech_names)} techniques use '{args.data_source}' as a data source:\n")
+    print("\n".join(tech_names))