536 строки
19 KiB
Plaintext
536 строки
19 KiB
Plaintext
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"Updating ../counters/C00212.md\n",
|
|
"Updating ../counters/C00214.md\n",
|
|
"Updating ../counters/C00215.md\n",
|
|
"Updating ../counters/C00216.md\n",
|
|
"Updating ../counters/C00217.md\n",
|
|
"Updating ../counters/C00218.md\n",
|
|
"Updating ../counters/C00219.md\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"from generate_amitt_ttps import Amitt\n",
|
|
"amitt = Amitt()\n",
|
|
"amitt.generate_and_write_datafiles()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"vars(amitt)['tactics']"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"vars(amitt).keys()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"###. TEST AREA"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def create_tactic_counters_string(tactic_id):\n",
|
|
" table_string = '''\n",
|
|
"| Response types | Counters |\n",
|
|
"| -------------- | -------- |\n",
|
|
"'''\n",
|
|
" tactic_counters = amitt.df_counters[amitt.df_counters['tactic_id']==tactic_id]\n",
|
|
" row_string = '| {0} | [{1} {2}](../counters/{1}.md) |\\n'\n",
|
|
" for index, row in tactic_counters.sort_values(['responsetype', 'id']).iterrows():\n",
|
|
" table_string += row_string.format(row['responsetype'], row['id'], row['name'])\n",
|
|
" return table_string\n",
|
|
"\n",
|
|
"\n",
|
|
"def create_technique_counters_string(technique_id):\n",
|
|
" table_string = '''\n",
|
|
"| Counters |\n",
|
|
"| -------- |\n",
|
|
"'''\n",
|
|
" technique_counters = amitt.cross_counterid_techniqueid[amitt.cross_counterid_techniqueid['technique_id']==technique_id]\n",
|
|
" technique_counters = pd.merge(technique_counters, amitt.df_counters[['id', 'name']])\n",
|
|
" row_string = '| [{0} {1}](../counters/{0}.md) |\\n'\n",
|
|
" for index, row in technique_counters.sort_values('id').iterrows():\n",
|
|
" table_string += row_string.format(row['id'], row['name'])\n",
|
|
" return table_string\n",
|
|
"\n",
|
|
"create_technique_counters_string('TA01')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"scrolled": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"amitt.df_counters"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"amitt.cross_counterid_techniqueid[amitt.cross_counterid_techniqueid['technique_id'] == 'T0006']"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"amitt.cross_counterid_techniqueid"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import pandas as pd\n",
|
|
"technique_id='T0006'\n",
|
|
"xx = amitt.cross_counterid_techniqueid[amitt.cross_counterid_techniqueid['technique_id']==technique_id]\n",
|
|
"pd.merge(xx, amitt.df_counters[['id', 'name']])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"tactics=self.create_counter_tactics_string(row['id'])\n",
|
|
"techniques=self.create_counter_techniques_string(row['id'])\n",
|
|
"incidents=self.create_counter_incidents_string(row['id'])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"pd.pivot_table(amitt.df_counters[['tactic_id', 'responsetype','id']], index='responsetype', columns='tactic_id', aggfunc=len, fill_value=0)"
|
|
]
|
|
},
|
|
{
|
|
"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
|
|
}
|