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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import requests\n",
"import json"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"cisa_df = pd.read_json(\"https://www.cisa.gov/sites/default/files/feeds/known_exploited_vulnerabilities.json\")\n",
"cisa_df = pd.json_normalize(cisa_df['vulnerabilities'])\n",
"cisa_df = cisa_df.rename(columns={'cveID': 'CVE'})\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"cisa_df = cisa_df\n",
"cves = cisa_df[\"CVE\"].to_list()\n",
"cves\n",
"\n",
"CISA_List = []\n",
"\n",
"for cve in cves:\n",
" base_url = 'https://cve.circl.lu/api/cve/'\n",
" url = ''.join([base_url, cve])\n",
" r = requests.get(url)\n",
" try:\n",
" data = r.json()\n",
" CVEPublished = data['Published']\n",
" CVEModified = data['Modified']\n",
" cvss = data['cvss']\n",
" cwe = data['cwe']\n",
" references = data['references']\n",
" vulnerable_product = data['vulnerable_product']\n",
"\n",
" except:\n",
" pass\n",
" CISA_List_Temp = (cve, CVEPublished, CVEModified, cvss, cwe, references, vulnerable_product)\n",
" CISA_List.append(CISA_List_Temp)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"cisa_enriched_df = pd.DataFrame(CISA_List, columns = [\"CVE\", \"CVE_Published\", \"CVE_Modified\", \"CVSS\", \"CWE\", \"References\", \"Vulnerable_Products\"])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"cisa_data = cisa_enriched_df.merge(cisa_df, on='CVE', how='outer')\n",
"cisa_data = cisa_data.rename(columns={'dueDate': 'CISA_Due_Date', 'requiredAction' : 'Required_Action', 'shortDescription' : \"Description\", 'vendorProject': 'Vendor', 'product' : 'Product', 'vulnerabilityName' : 'Vulnerability_Name', 'dateAdded' : 'CISA_Date_Added'})\n",
"cisa_data= cisa_data[[ 'CVE', 'Vulnerability_Name', 'Description', 'Vendor', 'Product', 'CVSS', 'CWE', 'Required_Action', 'CVE_Published', 'CVE_Modified', 'CISA_Date_Added', 'CISA_Due_Date', 'References', 'Vulnerable_Products']]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"\n",
"cisa_data.to_csv('cisa_enriched.csv', index=False)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"result = cisa_data.to_json(orient=\"records\")\n",
"parsed = json.loads(result)\n",
"print(json.dumps(parsed, indent=4))\n",
"\n",
"with open('cisa_enriched.json', 'w', encoding='utf-8') as f:\n",
" json.dump(parsed, f, ensure_ascii=False, indent=4)\n"
]
}
],
"metadata": {
"interpreter": {
"hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"
},
"kernelspec": {
"display_name": "Python 3.9.9 64-bit",
"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": "3.9.9"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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