{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8eb6731a",
   "metadata": {},
   "source": [
    "# CVE Data\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "91b44dc2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-03T12:18:00.255964Z",
     "iopub.status.busy": "2024-05-03T12:18:00.255782Z",
     "iopub.status.idle": "2024-05-03T12:18:01.118213Z",
     "shell.execute_reply": "2024-05-03T12:18:01.117608Z"
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "    if (document.body.dataset.jpThemeLight == \"false\" || // Jupyter Lab\n",
       "        document.body.dataset.vscodeThemeKind == \"vscode-dark\" || // VS Code\n",
       "        document.documentElement.dataset.theme == \"dark\" || // Jupyter Book\n",
       "        window.matchMedia('(prefers-color-scheme: dark)').matches) {\n",
       "        document.documentElement.classList.add('dark');\n",
       "    }\n",
       "    else {\n",
       "        document.documentElement.classList.remove('dark');\n",
       "    }\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.core.magic import register_cell_magic\n",
    "from IPython.display import Markdown\n",
    "import datetime\n",
    "from datetime import date\n",
    "import glob\n",
    "import json\n",
    "import logging\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import warnings\n",
    "from itables import init_notebook_mode, show\n",
    "import itables.options as opt\n",
    "\n",
    "opt.dom = \"tpir\"\n",
    "opt.style = \"table-layout:auto;width:auto\"\n",
    "init_notebook_mode(all_interactive=True, connected=True)\n",
    "\n",
    "@register_cell_magic\n",
    "def markdown(line, cell):\n",
    "    return Markdown(cell.format(**globals()))\n",
    "\n",
    "\n",
    "logging.getLogger('matplotlib.font_manager').disabled = True\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "pd.set_option('display.width', 500)\n",
    "pd.set_option('display.max_rows', 50)\n",
    "pd.set_option('display.max_columns', 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "98bafc2f-2e20-4032-a091-ec2dc0ecb7a5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-03T12:18:01.120749Z",
     "iopub.status.busy": "2024-05-03T12:18:01.120350Z",
     "iopub.status.idle": "2024-05-03T12:18:20.529296Z",
     "shell.execute_reply": "2024-05-03T12:18:20.528725Z"
    },
    "tags": [
     "remove-cell"
    ]
   },
   "outputs": [],
   "source": [
    "row_accumulator = []\n",
    "for filename in glob.glob('nvd.jsonl'):\n",
    "    with open(filename, 'r', encoding='utf-8') as f:\n",
    "        nvd_data = json.load(f)\n",
    "        for entry in nvd_data:\n",
    "            cve = entry['cve']['id']\n",
    "            try:\n",
    "                assigner = entry['cve']['sourceIdentifier']\n",
    "            except KeyError:\n",
    "                assigner = 'Missing_Data'\n",
    "            try:\n",
    "                published_date = entry['cve']['published']\n",
    "            except KeyError:\n",
    "                published_date = 'Missing_Data'\n",
    "            try:\n",
    "                attack_vector = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['attackVector']\n",
    "            except KeyError:\n",
    "                attack_vector = 'Missing_Data'\n",
    "            try:\n",
    "                attack_complexity = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['attackComplexity']\n",
    "            except KeyError:\n",
    "                attack_complexity = 'Missing_Data'\n",
    "            try:\n",
    "                privileges_required = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['privilegesRequired']\n",
    "            except KeyError:\n",
    "                privileges_required = 'Missing_Data'\n",
    "            try:\n",
    "                user_interaction = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['userInteraction']\n",
    "            except KeyError:\n",
    "                user_interaction = 'Missing_Data'\n",
    "            try:\n",
    "                scope = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['scope']\n",
    "            except KeyError:\n",
    "                scope = 'Missing_Data'\n",
    "            try:\n",
    "                confidentiality_impact = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['confidentialityImpact']\n",
    "            except KeyError:\n",
    "                confidentiality_impact = 'Missing_Data'\n",
    "            try:\n",
    "                integrity_impact = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['integrityImpact']\n",
    "            except KeyError:\n",
    "                integrity_impact = 'Missing_Data'\n",
    "            try:\n",
    "                availability_impact = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['availabilityImpact']\n",
    "            except KeyError:\n",
    "                availability_impact = 'Missing_Data'\n",
    "            try:\n",
    "                base_score = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['baseScore']\n",
    "            except KeyError:\n",
    "                base_score = '0.0'\n",
    "            try:\n",
    "                base_severity = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['baseSeverity']\n",
    "            except KeyError:\n",
    "                base_severity = 'Missing_Data'\n",
    "            try:\n",
    "                exploitability_score = entry['cve']['metrics']['cvssMetricV31'][0]['exploitabilityScore']\n",
    "            except KeyError:\n",
    "                exploitability_score = 'Missing_Data'\n",
    "            try:\n",
    "                impact_score = entry['cve']['metrics']['cvssMetricV31'][0]['impactScore']\n",
    "            except KeyError:\n",
    "                impact_score = 'Missing_Data'\n",
    "            try:\n",
    "                cwe = entry['cve']['weaknesses'][0]['description'][0]['value']\n",
    "            except KeyError:\n",
    "                cwe = 'Missing_Data'\n",
    "            try:\n",
    "                description = entry['cve']['descriptions'][0]['value']\n",
    "            except IndexError:\n",
    "                description = ''\n",
    "            new_row = {\n",
    "                'CVE': cve,\n",
    "                'Published': published_date,\n",
    "                'AttackVector': attack_vector,\n",
    "                'AttackComplexity': attack_complexity,\n",
    "                'PrivilegesRequired': privileges_required,\n",
    "                'UserInteraction': user_interaction,\n",
    "                'Scope': scope,\n",
    "                'ConfidentialityImpact': confidentiality_impact,\n",
    "                'IntegrityImpact': integrity_impact,\n",
    "                'AvailabilityImpact': availability_impact,\n",
    "                'BaseScore': base_score,\n",
    "                'BaseSeverity': base_severity,\n",
    "                'ExploitabilityScore': exploitability_score,\n",
    "                'ImpactScore': impact_score,\n",
    "                'CWE': cwe,\n",
    "                'Description': description,\n",
    "                'Assigner' : assigner\n",
    "            }\n",
    "            if not description.startswith('rejected reason'): \n",
    "                row_accumulator.append(new_row)\n",
    "        nvd = pd.DataFrame(row_accumulator)\n",
    "    \n",
    "nvd['Published'] = pd.to_datetime(nvd['Published'])\n",
    "nvd = nvd.sort_values(by=['Published'])\n",
    "nvd = nvd.reset_index(drop=True)\n",
    "nvd['BaseScore'] = pd.to_numeric(nvd['BaseScore']);\n",
    "nvd['BaseScore'] = nvd['BaseScore'].replace(0, np.NaN);\n",
    "nvdcount = nvd['Published'].count()\n",
    "startdate = date(2000, 1, 1)\n",
    "enddate  = date.today()\n",
    "numberofdays = enddate - startdate \n",
    "per_day = nvdcount/numberofdays.days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fb2368b3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-03T12:18:20.531768Z",
     "iopub.status.busy": "2024-05-03T12:18:20.531580Z",
     "iopub.status.idle": "2024-05-03T12:18:20.568181Z",
     "shell.execute_reply": "2024-05-03T12:18:20.567717Z"
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "Total Number of CVEs: **248503**<br />Average CVEs Per Day: **27.96**<br />Average CVSS Score: **7.12**"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Markdown(f\"Total Number of CVEs: **{nvd['CVE'].count()}**<br />Average CVEs Per Day: **{per_day.round(2)}**<br />Average CVSS Score: **{nvd['BaseScore'].mean().round(2)}**\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18a9c60b",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "source": [
    "\n",
    "## CVE Graphs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "39c9867a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-03T12:18:20.570452Z",
     "iopub.status.busy": "2024-05-03T12:18:20.570068Z",
     "iopub.status.idle": "2024-05-03T12:18:20.610855Z",
     "shell.execute_reply": "2024-05-03T12:18:20.610252Z"
    },
    "tags": [
     "remove-cell"
    ]
   },
   "outputs": [],
   "source": [
    "Month_Graph = nvd['Published'].groupby(nvd.Published.dt.to_period(\"M\")).agg('count')\n",
    "Year_Graph = nvd['Published'].groupby(nvd.Published.dt.to_period(\"Y\")).agg('count')\n",
    "Week_Graph = nvd['Published'].groupby(nvd.Published.dt.to_period(\"W\")).agg('count')\n",
    "Day_Graph = nvd['Published'].groupby(nvd.Published.dt.to_period(\"D\")).agg('count')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "986aa70e",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "source": [
    "### CVE Per Year Graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a776139d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-03T12:18:20.613326Z",
     "iopub.status.busy": "2024-05-03T12:18:20.612916Z",
     "iopub.status.idle": "2024-05-03T12:18:20.840405Z",
     "shell.execute_reply": "2024-05-03T12:18:20.839882Z"
    },
    "tags": [
     "hide-input",
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cg = Year_Graph.plot.area(colormap='jet', figsize=(16, 8), title='CVEs Per Year')\n",
    "plt.grid()\n",
    "cg.set_ylabel(\"New CVEs\");\n",
    "cg.set_xlabel(\"Date\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ce24285",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "source": [
    "### CVE Per Month Graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "endless-cylinder",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-03T12:18:20.842844Z",
     "iopub.status.busy": "2024-05-03T12:18:20.842471Z",
     "iopub.status.idle": "2024-05-03T12:18:21.085624Z",
     "shell.execute_reply": "2024-05-03T12:18:21.085057Z"
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cg = Month_Graph.plot.area(colormap='jet', figsize=(16, 8), title='CVEs Per Month')\n",
    "plt.grid()\n",
    "cg.set_ylabel(\"New CVEs\");\n",
    "cg.set_xlabel(\"Date\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "befe79e1",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "source": [
    "\n",
    "\n",
    "### CVE Per Week Graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "common-louis",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-03T12:18:21.087822Z",
     "iopub.status.busy": "2024-05-03T12:18:21.087638Z",
     "iopub.status.idle": "2024-05-03T12:18:21.417449Z",
     "shell.execute_reply": "2024-05-03T12:18:21.416902Z"
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cg = Week_Graph.plot.area(colormap='jet', figsize=(16, 8), title='CVEs Per Week')\n",
    "plt.grid()\n",
    "cg.set_ylabel(\"New CVEs\");\n",
    "cg.set_xlabel(\"Date\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "989be730",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "source": [
    "\n",
    "\n",
    "### CVE Per Day Graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "smooth-stupid",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-03T12:18:21.419748Z",
     "iopub.status.busy": "2024-05-03T12:18:21.419314Z",
     "iopub.status.idle": "2024-05-03T12:18:21.873212Z",
     "shell.execute_reply": "2024-05-03T12:18:21.872669Z"
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cg = Day_Graph.plot.area(colormap='jet', figsize=(16, 8), title='CVEs Per Day')\n",
    "plt.grid()\n",
    "cg.set_ylabel(\"New CVEs\");\n",
    "cg.set_xlabel(\"Date\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51593e0c",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "source": [
    "\n",
    "## CVSS Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0652f359",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-03T12:18:21.875289Z",
     "iopub.status.busy": "2024-05-03T12:18:21.875107Z",
     "iopub.status.idle": "2024-05-03T12:18:22.049581Z",
     "shell.execute_reply": "2024-05-03T12:18:22.049020Z"
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nvd['BaseScore'].plot(kind=\"hist\", colormap='jet', figsize=(16, 8), title='CVSS Scores');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0210783",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "source": [
    "## CNA Data\n",
    "\n",
    "### CNA Assigner Graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "96ff98c6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-03T12:18:22.051950Z",
     "iopub.status.busy": "2024-05-03T12:18:22.051528Z",
     "iopub.status.idle": "2024-05-03T12:18:22.329867Z",
     "shell.execute_reply": "2024-05-03T12:18:22.329300Z"
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nvd_frequency = nvd['Assigner'].value_counts()\n",
    "nvd_frequency = nvd_frequency.reset_index()\n",
    "nvd_frequency.columns = ['Assigner', 'CVEs']\n",
    "nvd_frequency['Percentage'] = round((nvd_frequency['CVEs'] / \n",
    "                       nvd_frequency['CVEs'].sum()) * 100)\n",
    "nvd_frequency[nvd_frequency.CVEs > 100].head(50)\n",
    "nvd_frequency_no_mitre = nvd_frequency[~nvd_frequency.Assigner.str.contains('cve@mitre.org')]\n",
    "nvd_frequency_no_mitre = nvd_frequency_no_mitre[nvd_frequency_no_mitre.CVEs > 1].head(20)\n",
    "plt.figure(figsize=(10,10))\n",
    "plt.barh(\"Assigner\", \"CVEs\", data = nvd_frequency_no_mitre, color=\"#001d82\")\n",
    "plt.xlabel(\"CVEs\"); \n",
    "plt.ylabel(\"\") ;\n",
    "plt.title(\"Top 20 CNAs\");\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa3ea191",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "source": [
    "\n",
    "\n",
    "## CWE Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6815f0a1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-03T12:18:22.332462Z",
     "iopub.status.busy": "2024-05-03T12:18:22.332104Z",
     "iopub.status.idle": "2024-05-03T12:18:22.615300Z",
     "shell.execute_reply": "2024-05-03T12:18:22.614726Z"
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nvd_cwe = nvd['CWE'].value_counts()\n",
    "nvd_cwe = nvd_cwe.reset_index()\n",
    "nvd_cwe.columns = ['CWE', 'CVEs']\n",
    "nvd_cwe_graph = nvd_cwe[nvd_cwe.CVEs > 10].head(25)\n",
    "plt.figure(figsize=(10,10));\n",
    "plt.barh(\"CWE\", \"CVEs\", data = nvd_cwe_graph, color=\"#001d82\");\n",
    "plt.xlabel(\"CVEs\"); \n",
    "plt.ylabel(\"CWE\") ;\n",
    "plt.title(\"Most Common CWE in CVE Records\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1cbec814-905a-4028-b72f-98da5081b10d",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "source": [
    "\n",
    "\n",
    "## More CVE Data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5dbbc915",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "source": [
    "\n",
    "\n",
    "\n",
    "### Top CNA Assigner"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "04a26e54",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-03T12:18:22.617448Z",
     "iopub.status.busy": "2024-05-03T12:18:22.617265Z",
     "iopub.status.idle": "2024-05-03T12:18:22.630699Z",
     "shell.execute_reply": "2024-05-03T12:18:22.630141Z"
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
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       "<thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      \n",
       "      <th>Assigner</th>\n",
       "      <th>CVEs</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
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[\"vulnreport@tenable.com\", 471, 0.0], [\"security@atlassian.com\", 431, 0.0], [\"security@trendmicro.com\", 416, 0.0], [\"info@cert.vde.com\", 415, 0.0], [\"psirt@amd.com\", 391, 0.0], [\"cve-coordination@incibe.es\", 391, 0.0], [\"security@ubuntu.com\", 389, 0.0], [\"trellixpsirt@trellix.com\", 371, 0.0], [\"secure@symantec.com\", 339, 0.0], [\"help@fluidattacks.com\", 315, 0.0], [\"psirt@paloaltonetworks.com\", 273, 0.0], [\"security@qnapsecurity.com.tw\", 265, 0.0], [\"iletisim@usom.gov.tr\", 234, 0.0], [\"cve@rapid7.com\", 225, 0.0], [\"security@synology.com\", 221, 0.0], [\"psirt@hcl.com\", 220, 0.0], [\"cve-coordination@google.com\", 209, 0.0], [\"vulnerabilitylab@mend.io\", 196, 0.0], [\"vuln@krcert.or.kr\", 195, 0.0], [\"secteam@freebsd.org\", 181, 0.0], [\"josh@bress.net\", 174, 0.0], [\"patrick@puiterwijk.org\", 173, 0.0], [\"psirt@autodesk.com\", 166, 0.0], [\"bressers@elastic.co\", 166, 0.0], [\"security-alert@netapp.com\", 165, 0.0], [\"security@tibco.com\", 165, 0.0], [\"psirt@zte.com.cn\", 161, 0.0], [\"security@pivotal.io\", 160, 0.0], [\"cna@cyber.gov.il\", 155, 0.0], [\"cve-assign@fb.com\", 152, 0.0], [\"responsibledisclosure@mattermost.com\", 149, 0.0], [\"vulnerability@kaspersky.com\", 138, 0.0], [\"sirt@brocade.com\", 132, 0.0], [\"PSIRT@sonicwall.com\", 128, 0.0], [\"security@zoom.us\", 127, 0.0], [\"emo@eclipse.org\", 124, 0.0], [\"cve@jetbrains.com\", 124, 0.0], [\"cybersecurity@ch.abb.com\", 123, 0.0], [\"cve-requests@bitdefender.com\", 122, 0.0], [\"meissner@suse.de\", 121, 0.0], [\"security-officer@isc.org\", 118, 0.0], [\"vulnerabilities@zephyrproject.org\", 118, 0.0], [\"security@joomla.org\", 116, 0.0], [\"psirt@solarwinds.com\", 116, 0.0], [\"openssl-security@openssl.org\", 116, 0.0], [\"CybersecurityCOE@eaton.com\", 113, 0.0], [\"security@xen.org\", 112, 0.0], [\"dsap-vuln-management@google.com\", 104, 0.0], [\"Mitsubishielectric.Psirt@yd.MitsubishiElectric.co.jp\", 103, 0.0], [\"psirt@bosch.com\", 101, 0.0], [\"security@golang.org\", 101, 0.0], [\"security@acronis.com\", 98, 0.0], [\"security@zyxel.com.tw\", 95, 0.0], [\"cve@checkpoint.com\", 92, 0.0], [\"larry0@me.com\", 84, 0.0], [\"jordan@liggitt.net\", 83, 0.0], [\"disclosures@gallagher.com\", 83, 0.0], [\"psirt@esri.com\", 82, 0.0], [\"psirt@forcepoint.com\", 79, 0.0], [\"psirt@sick.de\", 79, 0.0], [\"security@odoo.com\", 79, 0.0], [\"prodsec@splunk.com\", 77, 0.0], [\"PSIRT@rockwellautomation.com\", 75, 0.0], [\"reefs@jfrog.com\", 73, 0.0], [\"product-cna@github.com\", 72, 0.0], [\"vuln@ca.com\", 68, 0.0], [\"bc94ec7e-8909-4cbb-83df-d2fc9330fa88\", 68, 0.0], [\"securities@openeuler.org\", 66, 0.0], [\"vulnerability@ncsc.ch\", 66, 0.0], [\"security@puppet.com\", 65, 0.0], [\"cybersecurity@hitachienergy.com\", 64, 0.0], [\"securityalerts@avaya.com\", 63, 0.0], [\"scy@openharmony.io\", 62, 0.0], [\"prodsec@nozominetworks.com\", 60, 0.0], [\"security@otrs.com\", 60, 0.0], [\"security@liferay.com\", 59, 0.0], [\"product-security@silabs.com\", 56, 0.0], [\"security@teradici.com\", 56, 0.0], [\"vdp@themissinglink.com.au\", 55, 0.0], [\"security@sierrawireless.com\", 53, 0.0], [\"mlhess@drupal.org\", 53, 0.0], [\"productsecurity@jci.com\", 53, 0.0], [\"security@php.net\", 53, 0.0], [\"cna@cloudflare.com\", 52, 0.0], [\"security@open-xchange.com\", 51, 0.0], [\"security@devolutions.net\", 50, 0.0], [\"secure@blackberry.com\", 49, 0.0], [\"security@octopus.com\", 49, 0.0], [\"cna@mongodb.com\", 48, 0.0], [\"cve-notifications-us@f-secure.com\", 46, 0.0], [\"security-alert@sophos.com\", 45, 0.0], [\"hirt@hitachi.co.jp\", 44, 0.0], [\"psirt@wdc.com\", 44, 0.0], [\"vdisclose@cert-in.org.in\", 43, 0.0], [\"disclosure@synopsys.com\", 43, 0.0], [\"cybersecurity@dahuatech.com\", 43, 0.0], [\"security@progress.com\", 42, 0.0], [\"csirt@divd.nl\", 42, 0.0], [\"security@selinc.com\", 41, 0.0], [\"security@checkmk.com\", 41, 0.0], [\"VulnerabilityReporting@secomea.com\", 41, 0.0], [\"security@xiaomi.com\", 41, 0.0], [\"info@starlabs.sg\", 40, 0.0], [\"cvd@cert.pl\", 40, 0.0], [\"psirt-info@cyber.jp.nec.com\", 40, 0.0], [\"security@hashicorp.com\", 39, 0.0], [\"cve-coordination@palantir.com\", 37, 0.0], [\"sec@hillstonenet.com\", 36, 0.0], [\"psirt@honeywell.com\", 36, 0.0], [\"cve@zscaler.com\", 35, 0.0], [\"disclosure@vulncheck.com\", 34, 0.0], [\"disclosures@exodusintel.com\", 34, 0.0], [\"paddle-security@baidu.com\", 33, 0.0], [\"secure@citrix.com\", 33, 0.0], [\"security@zabbix.com\", 33, 0.0], [\"security@pandorafms.com\", 33, 0.0], [\"security@m-files.com\", 32, 0.0], [\"psirt@moxa.com\", 32, 0.0], [\"responsible-disclosure@pingidentity.com\", 32, 0.0], [\"psirt@arista.com\", 31, 0.0], [\"product-security@axis.com\", 30, 0.0], [\"biossecurity@ami.com\", 30, 0.0], [\"3836d913-7555-4dd0-a509-f5667fdf5fe4\", 30, 0.0], [\"cve@aliasrobotics.com\", 29, 0.0], [\"browser-security@yandex-team.ru\", 28, 0.0], [\"security.vulnerabilities@hitachivantara.com\", 27, 0.0], [\"vulnerability@cspcert.ph\", 25, 0.0], [\"contact@securifera.com\", 25, 0.0], [\"security@documentfoundation.org\", 25, 0.0], [\"security@vaadin.com\", 24, 0.0], [\"cve@navercorp.com\", 24, 0.0], [\"security@pega.com\", 23, 0.0], [\"product.security@lge.com\", 23, 0.0], [\"cert@airbus.com\", 22, 0.0], [\"arm-security@arm.com\", 21, 0.0], [\"security@openanolis.org\", 21, 0.0], [\"security@proofpoint.com\", 21, 0.0], [\"cybersecurity@bd.com\", 21, 0.0], [\"security@openvpn.net\", 21, 0.0], [\"cve@asrg.io\", 21, 0.0], [\"infosec@edk2.groups.io\", 20, 0.0], [\"3DS.Information-Security@3ds.com\", 20, 0.0], [\"security-report@netflix.com\", 20, 0.0], [\"security@eset.com\", 19, 0.0], [\"f98c90f0-e9bd-4fa7-911b-51993f3571fd\", 19, 0.0], [\"cert@ncsc.nl\", 18, 0.0], [\"xpdf@xpdfreader.com\", 18, 0.0], [\"cve-request@iojs.org\", 18, 0.0], [\"9119a7d8-5eab-497f-8521-727c672e3725\", 18, 0.0], [\"cve_disclosure@tech.gov.sg\", 18, 0.0], [\"security@oppo.com\", 17, 0.0], [\"hsrc@hikvision.com\", 17, 0.0], [\"security@grafana.com\", 16, 0.0], [\"security@craftersoftware.com\", 16, 0.0], [\"ot-cert@dragos.com\", 16, 0.0], [\"security@marklogic.com\", 15, 0.0], [\"sep@nlnetlabs.nl\", 15, 0.0], [\"security@opennms.com\", 14, 0.0], [\"security@hypr.com\", 14, 0.0], [\"office@obdev.at\", 14, 0.0], [\"info@appcheck-ng.com\", 13, 0.0], [\"security@fidelissecurity.com\", 13, 0.0], [\"security@salesforce.com\", 12, 0.0], [\"430a6cef-dc26-47e3-9fa8-52fb7f19644e\", 12, 0.0], [\"dl_cve@linecorp.com\", 11, 0.0], [\"security@snowsoftware.com\", 11, 0.0], [\"security@nortonlifelock.com\", 11, 0.0], [\"disclose@cybersecurityworks.com\", 11, 0.0], [\"cve@takeonme.org\", 11, 0.0], [\"vuln@vdoo.com\", 11, 0.0], [\"security@bluespice.com\", 11, 0.0], [\"psirt@forgerock.com\", 10, 0.0], [\"product-security@gg.jp.panasonic.com\", 10, 0.0], [\"security@ni.com\", 10, 0.0], [\"psirt@thalesgroup.com\", 10, 0.0], [\"office@cyberdanube.com\", 10, 0.0], [\"security@asustor.com\", 10, 0.0], [\"security@knime.com\", 10, 0.0], [\"cve@forums.swift.org\", 9, 0.0], [\"security@docker.com\", 9, 0.0], [\"ART@zuso.ai\", 9, 0.0], [\"6f8de1f0-f67e-45a6-b68f-98777fdb759c\", 9, 0.0], [\"productsecurity@carrier.com\", 9, 0.0], [\"security@yugabyte.com\", 9, 0.0], [\"bugreport@qualys.com\", 9, 0.0], [\"security@search-guard.com\", 9, 0.0], [\"psirt@servicenow.com\", 9, 0.0], [\"ff5b8ace-8b95-4078-9743-eac1ca5451de\", 9, 0.0], [\"security@mautic.org\", 8, 0.0], [\"sirt@silver-peak.com\", 8, 0.0], [\"eb41dac7-0af8-4f84-9f6d-0272772514f4\", 8, 0.0], [\"research@onekey.com\", 8, 0.0], [\"68630edc-a58c-4cbd-9b01-0e130455c8ae\", 8, 0.0], [\"f86ef6dc-4d3a-42ad-8f28-e6d5547a5007\", 8, 0.0], [\"psirt@okta.com\", 7, 0.0], [\"a87f365f-9d39-4848-9b3a-58c7cae69cab\", 7, 0.0], [\"security@duo.com\", 6, 0.0], [\"security@tcpdump.org\", 6, 0.0], [\"security@1e.com\", 6, 0.0], [\"psirt@purestorage.com\", 6, 0.0], [\"security@360.cn\", 6, 0.0], [\"psirt@tigera.io\", 6, 0.0], [\"facts@wolfssl.com\", 6, 0.0], [\"ed10eef1-636d-4fbe-9993-6890dfa878f8\", 6, 0.0], [\"support@shopbeat.co.za\", 6, 0.0], [\"df4dee71-de3a-4139-9588-11b62fe6c0ff\", 6, 0.0], [\"psirt@sailpoint.com\", 6, 0.0], [\"2499f714-1537-4658-8207-48ae4bb9eae9\", 5, 0.0], [\"mandiant-cve@google.com\", 5, 0.0], [\"psirt@mirantis.com\", 5, 0.0], [\"551230f0-3615-47bd-b7cc-93e92e730bbf\", 5, 0.0], [\"fc9afe74-3f80-4fb7-a313-e6f036a89882\", 5, 0.0], [\"46fe6300-5254-4a98-9594-a9567bec8179\", 5, 0.0], [\"0fc0942c-577d-436f-ae8e-945763c79b02\", 4, 0.0], [\"security@baicells.com\", 4, 0.0], [\"psirt@netskope.com\", 4, 0.0], [\"cna@python.org\", 4, 0.0], [\"psirt@teamviewer.com\", 4, 0.0], [\"PSIRT@synaptics.com\", 4, 0.0], [\"7bc73191-a2b6-4c63-9918-753964601853\", 4, 0.0], [\"security@opera.com\", 4, 0.0], [\"security@vivo.com\", 4, 0.0], [\"productsecurity@baxter.com\", 4, 0.0], [\"cve-coordination@logitech.com\", 4, 0.0], [\"PSIRT@samsung.com\", 3, 0.0], [\"security@dotcms.com\", 3, 0.0], [\"0a72a055-908d-47f5-a16a-1f09049c16c6\", 3, 0.0], [\"security@temporal.io\", 3, 0.0], [\"13061848-ea10-403d-bd75-c83a022c2891\", 3, 0.0], [\"security@42gears.com\", 3, 0.0], [\"disclosures@halborn.com\", 3, 0.0], [\"security@medtronic.com\", 3, 0.0], [\"41c37e40-543d-43a2-b660-2fee83ea851a\", 3, 0.0], [\"GEPowerCVD@ge.com\", 3, 0.0], [\"cves@blacklanternsecurity.com\", 2, 0.0], [\"SecurityResponse@netmotionsoftware.com\", 2, 0.0], [\"15c01472-ff32-4bec-916d-912e60a9fe4c\", 2, 0.0], [\"a2826606-91e7-4eb6-899e-8484bd4575d5\", 2, 0.0], [\"info@cybellum.com\", 2, 0.0], [\"6b35d637-e00f-4228-858c-b20ad6e1d07b\", 2, 0.0], [\"zowe-security@lists.openmainframeproject.org\", 2, 0.0], [\"openbmc-security@lists.ozlabs.org\", 2, 0.0], [\"57dba5dd-1a03-47f6-8b36-e84e47d335d8\", 2, 0.0], [\"22d9ba52-f336-4b0d-bf1f-0efbdcc3c1de\", 2, 0.0], [\"d42dc95b-23f1-4e06-9076-20753a0fb0df\", 2, 0.0], [\"cve@profelis.com.tr\", 2, 0.0], [\"8a9629cb-c5e7-4d2a-a894-111e8039b7ea\", 2, 0.0], [\"security.vulnerabilities@algosec.com\", 2, 0.0], [\"907edf6c-bf03-423e-ab1a-8da27e1aa1ea\", 1, 0.0], [\"85b1779b-6ecd-4f52-bcc5-73eac4659dcf\", 1, 0.0], [\"7bd90cf1-1651-495e-9ae8-9415fb3c9feb\", 1, 0.0], [\"68870bb1-d075-4169-957d-e580b18692b9\", 1, 0.0], [\"103e4ec9-0a87-450b-af77-479448ddef11\", 1, 0.0], [\"security@opencloudos.tech\", 1, 0.0], [\"36106deb-8e95-420b-a0a0-e70af5d245df\", 1, 0.0], [\"7168b535-132a-4efe-a076-338f829b2eb9\", 1, 0.0], [\"96d4e157-0bf0-48b3-8efd-382c68caf4e0\", 1, 0.0], [\"769c9ae7-73c3-4e47-ae19-903170fc3eb8\", 1, 0.0], [\"security@illumio.com\", 1, 0.0], [\"security@mimsoftware.com\", 1, 0.0], [\"info@greenrocketsecurity.com\", 1, 0.0], [\"incident@nbu.gov.sk\", 1, 0.0], [\"secure@ea.com\", 1, 0.0], [\"2fdefc65-d750-4b8d-96ee-6e2c0c42dbfe\", 1, 0.0], [\"security@deepsurface.com\", 1, 0.0], [\"security@genetec.com\", 1, 0.0], [\"security@replicated.com\", 1, 0.0], [\"alibaba-cna@list.alibaba-inc.com\", 1, 0.0], [\"productsecurity@bbraun.com\", 1, 0.0], [\"3ff69d7a-14f2-4f67-a097-88dee7810d18\", 1, 0.0]];\n",
       "\n",
       "        // Define the dt_args\n",
       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_dom\": true};\n",
       "        dt_args[\"data\"] = data;\n",
       "\n",
       "        \n",
       "        new DataTable(table, dt_args);\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show(nvd_frequency, scrollY=\"400px\", scrollCollapse=True, paging=False)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "0aa62111",
   "metadata": {},
   "source": [
    "### Top CWEs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "91304fc7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-03T12:18:22.632805Z",
     "iopub.status.busy": "2024-05-03T12:18:22.632478Z",
     "iopub.status.idle": "2024-05-03T12:18:22.638575Z",
     "shell.execute_reply": "2024-05-03T12:18:22.638131Z"
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
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       "<thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      \n",
       "      <th>CWE</th>\n",
       "      <th>CVEs</th>\n",
       "    </tr>\n",
       "  </thead><tbody><tr>\n",
       "<td style=\"vertical-align:middle; text-align:left\">\n",
       "<div style=\"float:left; margin-right: 10px;\">\n",
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       "Loading ITables v2.0.1 from the internet...\n",
       "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
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    "\n",
    "\n",
    "\n",
    "\n",
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     "iopub.status.idle": "2024-05-03T12:18:22.646585Z",
     "shell.execute_reply": "2024-05-03T12:18:22.646144Z"
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       "                <polyline points=\"-15,-20 -35,-20 -35,40 25,40 25,20\" />\n",
       "                <rect x=\"-15\" y=\"-40\" width=\"60\" height=\"60\" />\n",
       "            </g>\n",
       "\n",
       "            <g transform=\"translate(50 352)\">\n",
       "                <polygon points=\"-35,-5 0,-40 35,-5\" />\n",
       "                <polygon points=\"-35,10 0,45 35,10\" />\n",
       "            </g>\n",
       "\n",
       "            <g transform=\"translate(75 250)\">\n",
       "                <polyline points=\"-30,30 -60,0 -30,-30\" />\n",
       "                <polyline points=\"0,30 -30,0 0,-30\" />\n",
       "            </g>\n",
       "\n",
       "            <g transform=\"translate(425 250) rotate(180)\">\n",
       "                <polyline points=\"-30,30 -60,0 -30,-30\" />\n",
       "                <polyline points=\"0,30 -30,0 0,-30\" />\n",
       "            </g>\n",
       "        </g>\n",
       "    </g>\n",
       "</svg>\n",
       "</a>\n",
       "</div>\n",
       "<div>\n",
       "Loading ITables v2.0.1 from the internet...\n",
       "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
       "</div>\n",
       "</tr></tbody>\n",
       "\n",
       "</table>\n",
       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.5/dt_bundle.css\" rel=\"stylesheet\">\n",
       "<script type=\"module\">\n",
       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.5/dt_bundle.js';\n",
       "\n",
       "    document.querySelectorAll(\"#itables_6d836f30_fc75_430e_83ed_9811c3650333:not(.dataTable)\").forEach(table => {\n",
       "        // Define the table data\n",
       "        const data = [[\"1988\", 2], [\"1989\", 3], [\"1990\", 11], [\"1991\", 15], [\"1992\", 14], [\"1993\", 13], [\"1994\", 26], [\"1995\", 25], [\"1996\", 75], [\"1997\", 253], [\"1998\", 247], [\"1999\", 923], [\"2000\", 1020], [\"2001\", 1679], [\"2002\", 2170], [\"2003\", 1548], [\"2004\", 2479], [\"2005\", 5010], [\"2006\", 6659], [\"2007\", 6596], [\"2008\", 5664], [\"2009\", 5778], [\"2010\", 4667], [\"2011\", 4172], [\"2012\", 5351], [\"2013\", 5324], [\"2014\", 8008], [\"2015\", 6595], [\"2016\", 6517], [\"2017\", 18113], [\"2018\", 18154], [\"2019\", 18938], [\"2020\", 19222], [\"2021\", 21950], [\"2022\", 26431], [\"2023\", 30949], [\"2024\", 13902]];\n",
       "\n",
       "        // Define the dt_args\n",
       "        let dt_args = {\"scrollY\": \"600px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": [], \"warn_on_dom\": true};\n",
       "        dt_args[\"data\"] = data;\n",
       "\n",
       "        \n",
       "        new DataTable(table, dt_args);\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "yg_df = pd.DataFrame(Year_Graph)\n",
    "yg_df.columns = ['Count']\n",
    "yg_df.reset_index()\n",
    "show(yg_df, scrollY=\"600px\", scrollCollapse=True, paging=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa164366-d0e6-4ca5-890b-95ea69f2801c",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "source": [
    "\n",
    "\n",
    "\n",
    "### CVEs By Identifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "661f28f1-9568-4e97-acb3-75e45e596f1f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-03T12:18:22.648616Z",
     "iopub.status.busy": "2024-05-03T12:18:22.648302Z",
     "iopub.status.idle": "2024-05-03T12:18:25.101743Z",
     "shell.execute_reply": "2024-05-03T12:18:25.101150Z"
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CVE-1999:\t1579\n",
      "CVE-2000:\t1242\n",
      "CVE-2001:\t1556\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CVE-2002:\t2392\n",
      "CVE-2003:\t1553\n",
      "CVE-2004:\t2707\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CVE-2005:\t4766\n",
      "CVE-2006:\t7142\n",
      "CVE-2007:\t6580\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CVE-2008:\t7176\n",
      "CVE-2009:\t5040\n",
      "CVE-2010:\t5217\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CVE-2011:\t4861\n",
      "CVE-2012:\t5891\n",
      "CVE-2013:\t6780\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CVE-2014:\t8981\n",
      "CVE-2015:\t8747\n",
      "CVE-2016:\t10548\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CVE-2017:\t16981\n",
      "CVE-2018:\t17351\n",
      "CVE-2019:\t16981\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CVE-2020:\t20465\n",
      "CVE-2021:\t22425\n",
      "CVE-2022:\t24684\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CVE-2023:\t27563\n",
      "CVE-2024:\t9295\n"
     ]
    }
   ],
   "source": [
    "print(\"CVE-1999:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-1999-')]))\n",
    "print(\"CVE-2000:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2000-')]))\n",
    "print(\"CVE-2001:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2001-')]))\n",
    "print(\"CVE-2002:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2002-')]))\n",
    "print(\"CVE-2003:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2003-')]))\n",
    "print(\"CVE-2004:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2004-')]))\n",
    "print(\"CVE-2005:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2005-')]))\n",
    "print(\"CVE-2006:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2006-')]))\n",
    "print(\"CVE-2007:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2007-')]))\n",
    "print(\"CVE-2008:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2008-')]))\n",
    "print(\"CVE-2009:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2009-')]))\n",
    "print(\"CVE-2010:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2010-')]))\n",
    "print(\"CVE-2011:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2011-')]))\n",
    "print(\"CVE-2012:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2012-')]))\n",
    "print(\"CVE-2013:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2013-')]))\n",
    "print(\"CVE-2014:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2014-')]))\n",
    "print(\"CVE-2015:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2015-')]))\n",
    "print(\"CVE-2016:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2016-')]))\n",
    "print(\"CVE-2017:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2017-')]))\n",
    "print(\"CVE-2018:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2018-')]))\n",
    "print(\"CVE-2019:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2019-')]))\n",
    "print(\"CVE-2020:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2020-')]))\n",
    "print(\"CVE-2021:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2021-')]))\n",
    "print(\"CVE-2022:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2022-')]))\n",
    "print(\"CVE-2023:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2023-')]))\n",
    "print(\"CVE-2024:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2024-')]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "20ee3a71",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-03T12:18:25.103862Z",
     "iopub.status.busy": "2024-05-03T12:18:25.103681Z",
     "iopub.status.idle": "2024-05-03T12:18:25.107477Z",
     "shell.execute_reply": "2024-05-03T12:18:25.107052Z"
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "This report is updated automatically every day, last generated on: **2024-05-03 12:18:25.104569**"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Markdown(f\"This report is updated automatically every day, last generated on: **{datetime.datetime.now()}**\")"
   ]
  }
 ],
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