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DISARMframeworks/CODE/.ipynb_checkpoints/DISARM_code_testbed-checkpoint.ipynb

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Copy AMITT repository, clean up and rebrand Took a copy of the current AMITT github repository - we'll be updating this and merging the SPICE branch back in Rebranded to DISARM Moved generated pages to their own folder, to make looking at the repository less confusing
2022-01-29 11:34:46 -05:00
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Test area for DISARM code"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"dict_keys(['df_phases', 'df_frameworks', 'df_techniques', 'df_tasks', 'df_incidents', 'df_counters', 'df_detections', 'df_actortypes', 'df_resources', 'df_responsetypes', 'df_metatechniques', 'it', 'df_tactics', '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'])\n"
]
},
{
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" vertical-align: middle;\n",
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" vertical-align: top;\n",
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"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>amitt_id</th>\n",
" <th>technique_id</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
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" <td>C00222</td>\n",
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" <th>139</th>\n",
" <td>C00223</td>\n",
" <td></td>\n",
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"</table>\n",
"<p>898 rows × 2 columns</p>\n",
"</div>"
],
"text/plain": [
" amitt_id technique_id\n",
"0 C00006 T0007\n",
"0 C00006 T0015\n",
"0 C00006 T0018\n",
"0 C00006 T0043\n",
"0 C00006 T0053\n",
".. ... ...\n",
"135 C00219 T0025\n",
"136 C00220 \n",
"137 C00221 \n",
"138 C00222 \n",
"139 C00223 \n",
"\n",
"[898 rows x 2 columns]"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"import sqlite3 as sql\n",
"from generate_DISARM_pages import Disarm\n",
"\n",
"\n",
"# Generate AMITT datasets\n",
"disarm = Disarm()\n",
"\n",
"# Check which amitt variables we can see from here\n",
"print('{}'.format(vars(disarm).keys()))\n",
"vars(disarm)['cross_counterid_techniqueid']"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"scrolled": true
},
"outputs": [
{
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" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>id</th>\n",
" <th>actor_id</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>C00006</td>\n",
" <td>A033</td>\n",
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" <th>1</th>\n",
" <td>C00008</td>\n",
" <td>A007</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>C00009</td>\n",
" <td>A016</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>C00009</td>\n",
" <td>A006</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>C00010</td>\n",
" <td>A020</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
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" </tbody>\n",
"</table>\n",
"<p>166 rows × 2 columns</p>\n",
"</div>"
],
"text/plain": [
" id actor_id\n",
"0 C00006 A033\n",
"1 C00008 A007\n",
"2 C00009 A016\n",
"2 C00009 A006\n",
"3 C00010 A020\n",
".. ... ...\n",
"135 C00219 \n",
"136 C00220 \n",
"137 C00221 \n",
"138 C00222 \n",
"139 C00223 \n",
"\n",
"[166 rows x 2 columns]"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"disarm.cross_counterid_actorid"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
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" vertical-align: top;\n",
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" text-align: right;\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>id</th>\n",
" <th>technique_id</th>\n",
" <th>Weight</th>\n",
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" </thead>\n",
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" <td>1</td>\n",
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" <th>1</th>\n",
" <td>C00008</td>\n",
" <td>T0006</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
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" <td>T0009</td>\n",
" <td>1</td>\n",
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" <td>C00216</td>\n",
" <td>T0018</td>\n",
" <td>1</td>\n",
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" <tr>\n",
" <th>134</th>\n",
" <td>C00216</td>\n",
" <td>T0057</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>135</th>\n",
" <td>C00219</td>\n",
" <td>T0024</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>135</th>\n",
" <td>C00219</td>\n",
" <td>T0026</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>135</th>\n",
" <td>C00219</td>\n",
" <td>T0025</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>717 rows × 3 columns</p>\n",
"</div>"
],
"text/plain": [
" id technique_id Weight\n",
"1 C00008 TA01 1\n",
"1 C00008 TA06 1\n",
"1 C00008 TA08 1\n",
"1 C00008 T0006 1\n",
"1 C00008 T0009 1\n",
".. ... ... ...\n",
"134 C00216 T0018 1\n",
"134 C00216 T0057 1\n",
"135 C00219 T0024 1\n",
"135 C00219 T0026 1\n",
"135 C00219 T0025 1\n",
"\n",
"[717 rows x 3 columns]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ct = disarm.cross_counterid_techniqueid\n",
"ct['Weight'] = 1\n",
"ct = ct[ct['technique_id'].str.len() > 0]\n",
"ct.to_csv('../visualisations/cross_counterid_techniqueid.csv', index=False, header=['Source','Target', 'Weight'])\n",
"ct"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.3"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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