mirror of
https://github.com/DISARMFoundation/DISARMframeworks.git
synced 2025-05-06 08:45:11 -04:00
framework and page updates
Framework updates: - TA08 added text "Used for preparation before broader release, and as message honing." - TA10 change name from "Go Physical" to "Drive Offline Activity" - T0004 change name from "Competing Narratives" to "Devise Competing Narratives" - T0005 convert into a tactic stage, TA13. Change name from "Center of Gravity Analysis" to "Conduct Center of Gravity Analysis" - T0006 rename from "Create Master Narratives" to "Develop Narrative Concepts". nb narratology: can't create master narratives - can only latch onto them - T0011 change name from "Hijack legitimate account" to "Compromise legitimate account" - T0065. Create new technique "use physical broadcast capabilities" under TA04 - T0014. Rename from "Create funding campaigns" to "Prepare fundraising campaigns". Exited text to reflect that this new name allows the possibility of either creating a new one, or revitalizing an existing one. - T0015 rename from "Create hashtag" to "Create hashtags". Change text to mention hashtag groups. - T0017 rename from "Promote online funding" to "Conduct Fundraising Campaigns" - T0018 rename from "Paid targeted ads" to "Purchase advertisements" - T0026 rename from "Create fake research" to "create pseudoscientific or disingenuous research" Page and file updates: - Added MITRE, FIU, and SPICE to DISARM's history - reran github page generator - reran sqlite generator
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@ -13,7 +13,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 32,
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"metadata": {},
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"outputs": [
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{
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"185 T0008 186 "
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]
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},
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"execution_count": 32,
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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"# Generate DISARM datasets\n",
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"disarm = Disarm()\n",
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"\n",
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"dbasetype = 'postgresql_local' #'sqlite' #'heroku'\n",
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"dbasetype = 'sqlite' #'postgresql_local' # 'heroku'\n",
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"\n",
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"\n",
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"# Create connection to database\n",
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"# dataset\n",
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"# reference - create this from other tables. \n",
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"# Also need incidentcounter etc - create from data\n",
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"newtable = add_table(disarm.df_groups, 'organization', ['disarm_id', 'name', 'url', 'summary', \n",
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"newtable = add_table(disarm.df_externalgroups, 'externalgroup', ['disarm_id', 'name', 'url', 'summary', \n",
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" 'sector', 'primary_role', 'secondary_role', \n",
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" 'primary_subject', 'secondary_subject', \n",
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" 'volunteers', 'region', 'country', \n",
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" 'year_started', 'attributions_seen', \n",
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" 'found_in_country', 'objecttype'])\n",
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"newtable = add_table(disarm.df_tools, 'tool', ['disarm_id', 'name', 'summary',\n",
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" 'organization', 'url', 'category', \n",
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" 'externalgroup', 'url', 'category', \n",
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" 'disinformation_use', 'cogseccollab_use', \n",
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" 'function', 'code_url', 'artifacts', \n",
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" 'automation', 'platform', 'accessibility'])\n",
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"execution_count": 2,
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"metadata": {
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"scrolled": true
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},
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"dict_keys(['df_phases', 'df_frameworks', 'df_techniques', 'df_tasks', 'df_incidents', 'df_groups', 'df_tools', 'df_examples', 'df_counters', 'df_detections', 'df_actortypes', 'df_resources', 'df_responsetypes', 'df_metatechniques', 'it', 'df_tactics', 'df_playbooks', 'df_techniques_per_tactic', 'df_counters_per_tactic', 'phases', 'tactics', 'techniques', 'counters', 'metatechniques', 'actortypes', 'resources', 'num_tactics', 'cross_counterid_techniqueid', 'cross_counterid_resourceid', 'cross_counterid_actortypeid', 'cross_detectionid_techniqueid', 'cross_detectionid_resourceid', 'cross_detectionid_actortypeid'])\n",
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"dict_keys(['df_phases', 'df_frameworks', 'df_techniques', 'df_tasks', 'df_incidents', 'df_externalgroups', 'df_tools', 'df_examples', 'df_counters', 'df_detections', 'df_actortypes', 'df_resources', 'df_responsetypes', 'df_metatechniques', 'it', 'df_tactics', 'df_playbooks', 'df_techniques_per_tactic', 'df_counters_per_tactic', 'phases', 'tactics', 'techniques', 'counters', 'metatechniques', 'actortypes', 'resources', 'num_tactics', 'cross_counterid_techniqueid', 'cross_counterid_resourceid', 'cross_counterid_actortypeid', 'cross_detectionid_techniqueid', 'cross_detectionid_resourceid', 'cross_detectionid_actortypeid'])\n",
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"\n",
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"it columns: Index(['disarm_id', 'name', 'summary', 'disarm_id_incident', 'name_incident',\n",
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" 'disarm_id_technique', 'name_technique'],\n",
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"185 Create fake or imposter news sites "
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]
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},
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"execution_count": 15,
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"185 T0008 "
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]
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},
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"execution_count": 16,
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"Name: objecttype, dtype: int64"
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]
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},
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"execution_count": 21,
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 22,
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"32 I00033 - China 50cent Army "
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]
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},
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"execution_count": 22,
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 23,
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"63 T0064 - Social media engagement "
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]
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},
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"execution_count": 23,
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"execution_count": 7,
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"metadata": {
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"scrolled": true
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},
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" ['', '', '', '', '', 'T0028', 'T0038', '', 'T0056', '', '', '']]"
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]
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},
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"execution_count": 24,
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 25,
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"execution_count": 8,
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"metadata": {},
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"outputs": [
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{
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" 'IT00000175': 'Fake news/synthetic web-sites'}"
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]
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},
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"execution_count": 25,
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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