├── LICENSE
└── notebooks
    └── jupyter
        └── epss_tutorial.ipynb


/LICENSE:
--------------------------------------------------------------------------------
 1 | MIT License
 2 | 
 3 | Copyright (c) 2022 FIRST.Org, Inc.
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


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/notebooks/jupyter/epss_tutorial.ipynb:
--------------------------------------------------------------------------------
  1 | {
  2 |   "nbformat": 4,
  3 |   "nbformat_minor": 0,
  4 |   "metadata": {
  5 |     "colab": {
  6 |       "name": "epss_tutorial.ipynb",
  7 |       "provenance": [],
  8 |       "collapsed_sections": []
  9 |     },
 10 |     "kernelspec": {
 11 |       "name": "python3",
 12 |       "display_name": "Python 3"
 13 |     },
 14 |     "language_info": {
 15 |       "name": "python"
 16 |     }
 17 |   },
 18 |   "cells": [
 19 |     {
 20 |       "cell_type": "markdown",
 21 |       "source": [
 22 |         "# This notebooks shows how to process the raw daily feed"
 23 |       ],
 24 |       "metadata": {
 25 |         "id": "SosTVme_R2C_"
 26 |       }
 27 |     },
 28 |     {
 29 |       "cell_type": "code",
 30 |       "source": [
 31 |         "import pandas as pd\n",
 32 |         "import logging\n",
 33 |         "\n",
 34 |         "logging.basicConfig(\n",
 35 |         "    level=logging.INFO # allow DEBUG level messages to pass through the logger\n",
 36 |         "    )\n",
 37 |         "\n",
 38 |         "DAY_URL = \"https://epss.cyentia.com/epss_scores-current.csv.gz\"\n",
 39 |         "\n",
 40 |         "def load_data(day_url = DAY_URL):\n",
 41 |         "  try:\n",
 42 |         "    logging.info('Downloading day feed')\n",
 43 |         "    epss_df = pd.read_csv(DAY_URL,compression='gzip',sep=',')\n",
 44 |         "    if len(epss_df) > 0 :\n",
 45 |         "      logging.info('Done with total rows = %d' % len(epss_df))\n",
 46 |         "      header = epss_df.iloc[0]\n",
 47 |         "      if len(header)==2:\n",
 48 |         "        version = header.index[0].split(':')[1]\n",
 49 |         "        score_date = ''.join(header.index[1].split(':')[1:])\n",
 50 |         "        epss_df.columns = epss_df.iloc[0]\n",
 51 |         "        num_df = epss_df.iloc[1:].copy()\n",
 52 |         "        del epss_df\n",
 53 |         "        num_df['epss']=num_df['epss'].astype('float')\n",
 54 |         "        num_df['percentile']=num_df['percentile'].astype('float')\n",
 55 |         "        return (version,score_date,num_df)\n",
 56 |         "      else:\n",
 57 |         "        raise Exception('EPSS format is malformed')\n",
 58 |         "  except Exception as ep:\n",
 59 |         "    logging.error(ep)"
 60 |       ],
 61 |       "metadata": {
 62 |         "id": "QRUM0QFfR4lb"
 63 |       },
 64 |       "execution_count": 1,
 65 |       "outputs": []
 66 |     },
 67 |     {
 68 |       "cell_type": "markdown",
 69 |       "source": [
 70 |         "Show version, date and some basic stats"
 71 |       ],
 72 |       "metadata": {
 73 |         "id": "Ofod_SWsgZGh"
 74 |       }
 75 |     },
 76 |     {
 77 |       "cell_type": "code",
 78 |       "source": [
 79 |         "(version,score_date,epss_df) = load_data()\n",
 80 |         "logging.info(f'Date = {score_date} Version = {version}')\n",
 81 |         "logging.info(f'Total entries {len(epss_df)}')\n",
 82 |         "logging.info(f\"Total CVE {epss_df.index.nunique()}\")\n",
 83 |         "assert len(epss_df) == epss_df.index.nunique()"
 84 |       ],
 85 |       "metadata": {
 86 |         "colab": {
 87 |           "base_uri": "https://localhost:8080/"
 88 |         },
 89 |         "id": "8uemrrOMd_j7",
 90 |         "outputId": "3b596356-cbfa-4483-a5ad-8708d797d14e"
 91 |       },
 92 |       "execution_count": 2,
 93 |       "outputs": [
 94 |         {
 95 |           "output_type": "stream",
 96 |           "name": "stderr",
 97 |           "text": [
 98 |             "INFO:root:Downloading day feed\n",
 99 |             "INFO:root:Done with total rows = 175040\n",
100 |             "INFO:root:Date = 2022-05-02T000000+0000 Version = v2022.01.01\n",
101 |             "INFO:root:Total entries 175039\n",
102 |             "INFO:root:Total CVE 175039\n"
103 |           ]
104 |         }
105 |       ]
106 |     },
107 |     {
108 |       "cell_type": "markdown",
109 |       "source": [
110 |         "## Plot simple charts"
111 |       ],
112 |       "metadata": {
113 |         "id": "j-roxgT2iBg0"
114 |       }
115 |     },
116 |     {
117 |       "cell_type": "code",
118 |       "source": [
119 |         "import matplotlib\n",
120 |         "import numpy as np\n",
121 |         "import matplotlib.pyplot as plt\n",
122 |         "%matplotlib inline  "
123 |       ],
124 |       "metadata": {
125 |         "id": "Rv20lwNEh-Iu"
126 |       },
127 |       "execution_count": 3,
128 |       "outputs": []
129 |     },
130 |     {
131 |       "cell_type": "code",
132 |       "source": [
133 |         "epss_df.hist(column='epss', alpha=0.8,figsize=(10,4))\n",
134 |         "plt.title('Histogram of EPSS scores')\n",
135 |         "plt.show()"
136 |       ],
137 |       "metadata": {
138 |         "colab": {
139 |           "base_uri": "https://localhost:8080/",
140 |           "height": 281
141 |         },
142 |         "id": "kowj0J6bSEFS",
143 |         "outputId": "dbab029e-28f7-4273-efb4-98799f003ad7"
144 |       },
145 |       "execution_count": 5,
146 |       "outputs": [
147 |         {
148 |           "output_type": "display_data",
149 |           "data": {
150 |             "text/plain": [
151 |               "<Figure size 720x288 with 1 Axes>"
152 |             ],
153 |             "image/png": 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\n"
154 |           },
155 |           "metadata": {
156 |             "needs_background": "light"
157 |           }
158 |         }
159 |       ]
160 |     },
161 |     {
162 |       "cell_type": "code",
163 |       "source": [
164 |         "boxplot = epss_df.boxplot(column=['epss', 'percentile'])  \n",
165 |         "plt.title('Box plot of score and percentiles')\n",
166 |         "plt.show()"
167 |       ],
168 |       "metadata": {
169 |         "colab": {
170 |           "base_uri": "https://localhost:8080/",
171 |           "height": 281
172 |         },
173 |         "id": "SdgP8zVhNmny",
174 |         "outputId": "9701c809-6546-4572-f5fd-00db154d1f5d"
175 |       },
176 |       "execution_count": 6,
177 |       "outputs": [
178 |         {
179 |           "output_type": "display_data",
180 |           "data": {
181 |             "text/plain": [
182 |               "<Figure size 432x288 with 1 Axes>"
183 |             ],
184 |             "image/png": 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\n"
185 |           },
186 |           "metadata": {
187 |             "needs_background": "light"
188 |           }
189 |         }
190 |       ]
191 |     },
192 |     {
193 |       "cell_type": "code",
194 |       "source": [
195 |         "import seaborn as sb\n",
196 |         "\n",
197 |         "sb.violinplot(x = 'epss',data = epss_df)\n",
198 |         "\n",
199 |         "# display\n",
200 |         "plt.show()"
201 |       ],
202 |       "metadata": {
203 |         "colab": {
204 |           "base_uri": "https://localhost:8080/",
205 |           "height": 279
206 |         },
207 |         "id": "gDRGxzWlOcue",
208 |         "outputId": "de9b6fd9-65cc-4acb-8507-985d867483ec"
209 |       },
210 |       "execution_count": 7,
211 |       "outputs": [
212 |         {
213 |           "output_type": "display_data",
214 |           "data": {
215 |             "text/plain": [
216 |               "<Figure size 432x288 with 1 Axes>"
217 |             ],
218 |             "image/png": 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\n"
219 |           },
220 |           "metadata": {
221 |             "needs_background": "light"
222 |           }
223 |         }
224 |       ]
225 |     },
226 |     {
227 |       "cell_type": "code",
228 |       "source": [
229 |         "sb.violinplot(x = 'percentile',data = epss_df)\n",
230 |         "\n",
231 |         "plt.show()"
232 |       ],
233 |       "metadata": {
234 |         "id": "6ylEWBuIPPfv",
235 |         "outputId": "9387c035-bea8-4289-9114-66dde5aecd43",
236 |         "colab": {
237 |           "base_uri": "https://localhost:8080/",
238 |           "height": 279
239 |         }
240 |       },
241 |       "execution_count": 8,
242 |       "outputs": [
243 |         {
244 |           "output_type": "display_data",
245 |           "data": {
246 |             "text/plain": [
247 |               "<Figure size 432x288 with 1 Axes>"
248 |             ],
249 |             "image/png": 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\n"
250 |           },
251 |           "metadata": {
252 |             "needs_background": "light"
253 |           }
254 |         }
255 |       ]
256 |     },
257 |     {
258 |       "cell_type": "code",
259 |       "source": [
260 |         "epss_df.hist(column='percentile',bins=100, alpha=0.5,figsize=(10,4))\n",
261 |         "plt.title('Histogram of percentile')\n",
262 |         "plt.show()"
263 |       ],
264 |       "metadata": {
265 |         "id": "-Rr_9OZueVjq",
266 |         "colab": {
267 |           "base_uri": "https://localhost:8080/",
268 |           "height": 281
269 |         },
270 |         "outputId": "0f3d2057-236d-45f4-9b54-0b1c35c9ec91"
271 |       },
272 |       "execution_count": 9,
273 |       "outputs": [
274 |         {
275 |           "output_type": "display_data",
276 |           "data": {
277 |             "text/plain": [
278 |               "<Figure size 720x288 with 1 Axes>"
279 |             ],
280 |             "image/png": 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\n"
281 |           },
282 |           "metadata": {
283 |             "needs_background": "light"
284 |           }
285 |         }
286 |       ]
287 |     },
288 |     {
289 |       "cell_type": "markdown",
290 |       "source": [
291 |         "## Top CVSS"
292 |       ],
293 |       "metadata": {
294 |         "id": "fxwECkaQLAlk"
295 |       }
296 |     },
297 |     {
298 |       "cell_type": "code",
299 |       "source": [
300 |         "TOP = 20\n",
301 |         "epss_df.sort_values(by='epss',ascending=False).head(TOP).plot.bar(y='epss',figsize=(10,4))\n",
302 |         "plt.title(f'Top {TOP} CVE')\n",
303 |         "plt.show()"
304 |       ],
305 |       "metadata": {
306 |         "colab": {
307 |           "base_uri": "https://localhost:8080/",
308 |           "height": 356
309 |         },
310 |         "id": "VInnBipLKxgV",
311 |         "outputId": "ed2df125-b31b-4484-df38-fc00074c9f90"
312 |       },
313 |       "execution_count": 10,
314 |       "outputs": [
315 |         {
316 |           "output_type": "display_data",
317 |           "data": {
318 |             "text/plain": [
319 |               "<Figure size 720x288 with 1 Axes>"
320 |             ],
321 |             "image/png": 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\n"
322 |           },
323 |           "metadata": {
324 |             "needs_background": "light"
325 |           }
326 |         }
327 |       ]
328 |     },
329 |     {
330 |       "cell_type": "code",
331 |       "source": [
332 |         "epss_df.sort_values(by='epss',ascending=True).head(TOP).plot.bar(y='epss',figsize=(10,4))\n",
333 |         "plt.title(f'Bottom {TOP} CVE')\n",
334 |         "plt.show()"
335 |       ],
336 |       "metadata": {
337 |         "colab": {
338 |           "base_uri": "https://localhost:8080/",
339 |           "height": 356
340 |         },
341 |         "id": "ELG9qZSkLKpp",
342 |         "outputId": "2580d5fe-8143-49c1-9aba-2c17802dcb06"
343 |       },
344 |       "execution_count": 11,
345 |       "outputs": [
346 |         {
347 |           "output_type": "display_data",
348 |           "data": {
349 |             "text/plain": [
350 |               "<Figure size 720x288 with 1 Axes>"
351 |             ],
352 |             "image/png": 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\n"
353 |           },
354 |           "metadata": {
355 |             "needs_background": "light"
356 |           }
357 |         }
358 |       ]
359 |     },
360 |     {
361 |       "cell_type": "markdown",
362 |       "source": [
363 |         "# All done!"
364 |       ],
365 |       "metadata": {
366 |         "id": "zUyCVYQ0Y7DU"
367 |       }
368 |     },
369 |     {
370 |       "cell_type": "code",
371 |       "source": [
372 |         ""
373 |       ],
374 |       "metadata": {
375 |         "id": "zVBocSl0Y5Gy"
376 |       },
377 |       "execution_count": null,
378 |       "outputs": []
379 |     }
380 |   ]
381 | }


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