WiP CVE notebook

3 files changed, 244 insertions, 548 deletions

diff --git a/notebooks/cc/vulnerabilities.ipynb b/notebooks/cc/vulnerabilities.ipynb
index 3200b5e3..411862b8 100644
--- a/notebooks/cc/vulnerabilities.ipynb
+++ b/notebooks/cc/vulnerabilities.ipynb
@@ -19,7 +19,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -41,7 +41,7 @@
     "from sec_certs.dataset.cve import CVEDataset\n",
     "from sec_certs.dataset.common_criteria import CCDatasetMaintenanceUpdates\n",
     "\n",
-    "from sec_certs.pandas_helpers import compute_cve_correlations"
+    "from sec_certs.pandas_helpers import compute_cve_correlations, find_earliest_maintenance_after_cve, expand_cc_df_with_cve_cols, compute_maintenances_that_should_fix_vulns, move_fixing_mu_to_directory"
    ]
   },
   {
@@ -60,8 +60,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "parsing cpe matching (by NIST) dictionary: 100%|██████████| 377628/377628 [00:36<00:00, 10318.82it/s]\n",
-      "Building-up lookup dictionaries for fast CVE matching: 100%|██████████| 183838/183838 [00:15<00:00, 12136.85it/s]\n"
+      "parsing cpe matching (by NIST) dictionary: 100%|██████████| 377628/377628 [00:34<00:00, 10810.92it/s]\n",
+      "Building-up lookup dictionaries for fast CVE matching: 100%|██████████| 183838/183838 [00:14<00:00, 12615.84it/s]\n"
      ]
     }
    ],
@@ -72,7 +72,7 @@
     "\n",
     "# Local instantiation\n",
     "dset: CCDataset = CCDataset.from_json('/Users/adam/phd/projects/certificates/sec-certs/datasets/from_web_latest/dataset.json')\n",
-    "# main_dset = CCDatasetMaintenanceUpdates.from_json('/Users/adam/phd/projects/certificates/sec-certs/datasets/new_cc/certs/maintenance/Maintenance updates.json')\n",
+    "main_dset = dset.mu_dataset\n",
     "cve_dset: CVEDataset = dset._prepare_cve_dataset()\n",
     "\n",
     "# Fully remote instantiation\n",
@@ -85,33 +85,16 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Define some helper functions"
+    "### Dataset preprocessing\n",
+    "\n",
+    "- Loads `CCDataset` into pandas DataFrame\n",
+    "- Expands it with various maintenance-related columns\n",
+    "- Expands it with various CVE-related columns"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def find_earliest_after_cve(row):\n",
-    "    \"Given dataframe row, will return first maintenance date succeeding first published CVE related to a certificate if exists, else np.nan\"\n",
-    "    if isinstance(row['earliest_cve'], float):\n",
-    "        return np.nan\n",
-    "    maintenances_after_cve = list(filter(lambda x: x > row['earliest_cve'], row['maintenance_dates']))\n",
-    "    return min(maintenances_after_cve) if maintenances_after_cve else np.nan"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Preprocess dataset of Common Criteria certificates"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
    "metadata": {
     "collapsed": false,
     "pycharm": {
@@ -121,82 +104,26 @@
    "outputs": [],
    "source": [
     "df = dset.to_pandas()\n",
-    "df = df.loc[~df.manufacturer.isnull()] # Manually delete one certificate with None manufacturer (seems to have many blank fields)\n",
-    "\n",
-    "# # Introduce highest security level EAL variable\n",
-    "eals = ['EAL1', 'EAL1+', 'EAL2', 'EAL2+', 'EAL3', 'EAL3+', 'EAL4', 'EAL4+', 'EAL5', 'EAL5+', 'EAL6+', 'EAL7', 'EAL7+']\n",
-    "df['highest_security_level'] = df.security_level.map(lambda all_levels: [eal for eal in all_levels if eal.startswith('EAL')] if all_levels else np.nan)\n",
-    "df.highest_security_level = df.highest_security_level.map(lambda x: x[0] if x and isinstance(x, list) else np.nan)\n",
-    "df.highest_security_level = pd.Categorical(df.highest_security_level, categories=eals, ordered=True)\n",
-    "\n",
-    "# Introduce year when cert got valid\n",
-    "df['year_from'] = pd.DatetimeIndex(df.not_valid_before).year"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Preprocess dataset of maintenance updates"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "main_df = main_dset.to_pandas()\n",
-    "main_df.maintenance_date = main_df.maintenance_date.dt.date\n",
-    "\n",
-    "# Recover number of maintenances\n",
-    "n_maintenances = main_df.groupby('related_cert_digest').name.count()\n",
-    "n_maintenances.index.name = 'dgst'\n",
-    "n_maintenances = n_maintenances.rename('n_maintenances')\n",
     "\n",
     "if 'n_maintenances' not in df.columns:\n",
+    "    n_maintenances = main_dset.get_n_maintenances_df()\n",
     "    df = pd.concat([df, n_maintenances], axis='columns')\n",
-    "    df.n_maintenances = df.n_maintenances.fillna(0).astype('int32')\n",
-    "\n",
-    "# # Recover dates of maintenance updates\n",
-    "main_dates = main_df.copy()\n",
-    "main_dates.maintenance_date = main_df.maintenance_date.map(lambda x: [x])\n",
-    "main_dates = main_dates.groupby('related_cert_digest').maintenance_date.agg('sum').rename('maintenance_dates')\n",
-    "main_dates.index.name = 'dgst'\n",
     "\n",
     "if 'maintenance_dates' not in df.columns:\n",
-    "    df = pd.concat([df, main_dates], axis='columns')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Process CVE dataset and enrich CC DataFrame with CVE-related columns"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Build CVE dataset\n",
+    "    main_dates = main_dset.get_maintenance_dates_df()\n",
+    "    df = pd.concat([df, main_dates], axis='columns')\n",
+    "\n",
+    "# Limit CVE DataFrame to relevant CVEs\n",
     "cves = list(itertools.chain.from_iterable([x.heuristics.related_cves for x in dset if x.heuristics.related_cves]))\n",
     "cve_dict = {x: cve_dset[x] for x in cves}\n",
     "cve_dset.cves = cve_dict\n",
-    "cve_df = cve_dset.to_pandas()\n",
     "\n",
-    "# # Get some auxillary columns related to CVEs\n",
-    "df['n_cves'] = df.related_cves.map(lambda x: len(x) if x is not np.nan else 0)\n",
-    "df['cve_published_dates'] = df.related_cves.map(lambda x: [cve_dset[y].published_date.date() for y in x] if x is not np.nan else np.nan)\n",
-    "df['earliest_cve'] = df.cve_published_dates.map(lambda x: min(x) if isinstance(x, list) else np.nan)\n",
-    "df['worst_cve'] = df.related_cves.map(lambda x: max([cve_dset[cve].impact.base_score for cve in x]) if x is not np.nan else np.nan)"
+    "df = expand_cc_df_with_cve_cols(df, cve_dset)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -225,13 +152,6 @@
        "      <th>earliest_cve</th>\n",
        "      <th>worst_cve</th>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>dgst</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
@@ -243,29 +163,29 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ebd276cca70fd723</th>\n",
-       "      <td>{CVE-2017-1732, CVE-2019-4513}</td>\n",
-       "      <td>[2018-08-17, 2019-08-26]</td>\n",
+       "      <td>{CVE-2019-4513, CVE-2017-1732}</td>\n",
+       "      <td>[2019-08-26, 2018-08-17]</td>\n",
        "      <td>2018-08-17</td>\n",
        "      <td>8.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7a53ce3f91bf73c7</th>\n",
-       "      <td>{CVE-2017-14800, CVE-2017-9276, CVE-2017-14801...</td>\n",
-       "      <td>[2018-03-01, 2018-03-02, 2018-03-02, 2018-03-0...</td>\n",
+       "      <td>{CVE-2017-14800, CVE-2017-9276, CVE-2017-14799...</td>\n",
+       "      <td>[2018-03-01, 2018-03-02, 2018-03-01, 2018-03-0...</td>\n",
        "      <td>2018-03-01</td>\n",
        "      <td>6.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>b2aea954a265af60</th>\n",
-       "      <td>{CVE-2021-26109, CVE-2021-24018, CVE-2021-2609...</td>\n",
-       "      <td>[2021-12-08, 2021-08-04, 2022-02-24, 2021-12-0...</td>\n",
+       "      <td>{CVE-2021-44168, CVE-2021-42757, CVE-2021-2610...</td>\n",
+       "      <td>[2022-01-04, 2021-12-08, 2021-12-08, 2021-08-0...</td>\n",
        "      <td>2020-09-24</td>\n",
        "      <td>9.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>28819ed8f96586bc</th>\n",
-       "      <td>{CVE-2021-26109, CVE-2021-24018, CVE-2021-2609...</td>\n",
-       "      <td>[2021-12-08, 2021-08-04, 2022-02-24, 2021-12-0...</td>\n",
+       "      <td>{CVE-2021-44168, CVE-2021-42757, CVE-2021-2610...</td>\n",
+       "      <td>[2022-01-04, 2021-12-08, 2021-12-08, 2021-08-0...</td>\n",
        "      <td>2020-09-24</td>\n",
        "      <td>9.8</td>\n",
        "    </tr>\n",
@@ -278,8 +198,8 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5f1df5ad8e51ba75</th>\n",
-       "      <td>{CVE-2006-2546, CVE-2005-4752, CVE-2004-0652, ...</td>\n",
-       "      <td>[2006-05-23, 2005-12-31, 2004-08-06, 2005-12-3...</td>\n",
+       "      <td>{CVE-2007-0411, CVE-2005-4704, CVE-2006-0427, ...</td>\n",
+       "      <td>[2007-01-23, 2005-12-31, 2006-01-25, 2007-01-2...</td>\n",
        "      <td>2003-08-27</td>\n",
        "      <td>10.0</td>\n",
        "    </tr>\n",
@@ -306,8 +226,8 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5da939327a14e438</th>\n",
-       "      <td>{CVE-2017-0052, CVE-2015-2558, CVE-2008-0115, ...</td>\n",
-       "      <td>[2017-03-17, 2015-10-14, 2008-03-11, 2016-02-1...</td>\n",
+       "      <td>{CVE-2009-2500, CVE-2007-0030, CVE-2015-2520, ...</td>\n",
+       "      <td>[2009-10-14, 2007-01-09, 2015-09-09, 2009-02-2...</td>\n",
        "      <td>2006-06-17</td>\n",
        "      <td>9.3</td>\n",
        "    </tr>\n",
@@ -318,35 +238,32 @@
       ],
       "text/plain": [
        "                                                       related_cves  \\\n",
-       "dgst                                                                  \n",
        "c4bd865f2ae51533                                    {CVE-2019-5408}   \n",
-       "ebd276cca70fd723                     {CVE-2017-1732, CVE-2019-4513}   \n",
-       "7a53ce3f91bf73c7  {CVE-2017-14800, CVE-2017-9276, CVE-2017-14801...   \n",
-       "b2aea954a265af60  {CVE-2021-26109, CVE-2021-24018, CVE-2021-2609...   \n",
-       "28819ed8f96586bc  {CVE-2021-26109, CVE-2021-24018, CVE-2021-2609...   \n",
+       "ebd276cca70fd723                     {CVE-2019-4513, CVE-2017-1732}   \n",
+       "7a53ce3f91bf73c7  {CVE-2017-14800, CVE-2017-9276, CVE-2017-14799...   \n",
+       "b2aea954a265af60  {CVE-2021-44168, CVE-2021-42757, CVE-2021-2610...   \n",
+       "28819ed8f96586bc  {CVE-2021-44168, CVE-2021-42757, CVE-2021-2610...   \n",
        "...                                                             ...   \n",
-       "5f1df5ad8e51ba75  {CVE-2006-2546, CVE-2005-4752, CVE-2004-0652, ...   \n",
+       "5f1df5ad8e51ba75  {CVE-2007-0411, CVE-2005-4704, CVE-2006-0427, ...   \n",
        "ffeef32299d913d6      {CVE-2008-1592, CVE-2009-0439, CVE-2008-1130}   \n",
        "a092aebf5a286ded                                    {CVE-2004-2558}   \n",
        "ace069b9b7c10f19                                    {CVE-2000-0772}   \n",
-       "5da939327a14e438  {CVE-2017-0052, CVE-2015-2558, CVE-2008-0115, ...   \n",
+       "5da939327a14e438  {CVE-2009-2500, CVE-2007-0030, CVE-2015-2520, ...   \n",
        "\n",
        "                                                cve_published_dates  \\\n",
-       "dgst                                                                  \n",
        "c4bd865f2ae51533                                       [2019-08-09]   \n",
-       "ebd276cca70fd723                           [2018-08-17, 2019-08-26]   \n",
-       "7a53ce3f91bf73c7  [2018-03-01, 2018-03-02, 2018-03-02, 2018-03-0...   \n",
-       "b2aea954a265af60  [2021-12-08, 2021-08-04, 2022-02-24, 2021-12-0...   \n",
-       "28819ed8f96586bc  [2021-12-08, 2021-08-04, 2022-02-24, 2021-12-0...   \n",
+       "ebd276cca70fd723                           [2019-08-26, 2018-08-17]   \n",
+       "7a53ce3f91bf73c7  [2018-03-01, 2018-03-02, 2018-03-01, 2018-03-0...   \n",
+       "b2aea954a265af60  [2022-01-04, 2021-12-08, 2021-12-08, 2021-08-0...   \n",
+       "28819ed8f96586bc  [2022-01-04, 2021-12-08, 2021-12-08, 2021-08-0...   \n",
        "...                                                             ...   \n",
-       "5f1df5ad8e51ba75  [2006-05-23, 2005-12-31, 2004-08-06, 2005-12-3...   \n",
+       "5f1df5ad8e51ba75  [2007-01-23, 2005-12-31, 2006-01-25, 2007-01-2...   \n",
        "ffeef32299d913d6               [2008-03-31, 2009-02-24, 2008-03-04]   \n",
        "a092aebf5a286ded                                       [2004-12-31]   \n",
        "ace069b9b7c10f19                                       [2000-10-20]   \n",
-       "5da939327a14e438  [2017-03-17, 2015-10-14, 2008-03-11, 2016-02-1...   \n",
+       "5da939327a14e438  [2009-10-14, 2007-01-09, 2015-09-09, 2009-02-2...   \n",
        "\n",
        "                 earliest_cve  worst_cve  \n",
-       "dgst                                      \n",
        "c4bd865f2ae51533   2019-08-09        6.5  \n",
        "ebd276cca70fd723   2018-08-17        8.2  \n",
        "7a53ce3f91bf73c7   2018-03-01        6.1  \n",
@@ -362,7 +279,7 @@
        "[589 rows x 4 columns]"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -381,7 +298,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -390,14 +307,14 @@
        "<AxesSubplot:title={'center':'Categories (without smartcards) comparison between CPE-rich, CVE-rich and all certificates'}>"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -428,7 +345,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -437,14 +354,14 @@
        "<AxesSubplot:title={'center':'Years comparision between CPE-rich, CVE-rich and all certificates'}>"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
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       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -472,7 +389,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -481,14 +398,14 @@
        "<AxesSubplot:title={'center':'Highest security level comparision between CPE-rich, CVE-rich and all certificates'}>"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
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       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -516,7 +433,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -525,14 +442,14 @@
        "<AxesSubplot:title={'center':'Common vendors comparison between CPE-rich, CVE-rich and all certificates'}>"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
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       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -556,18 +473,18 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Basic correlations between security level and CVEs"
+    "## Correlations between (EAL, SAR) and CVEs"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3957d71f1b4f4359a79687971adeeb69",
+       "model_id": "2b73343955af4ffa9dd01000907d9864",
        "version_major": 2,
        "version_minor": 0
       },
@@ -591,7 +508,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5288d14def27456fba9fc5e341107cb8",
+       "model_id": "e9745e0a8f38415197bd3143cc902a41",
        "version_major": 2,
        "version_minor": 0
       },
@@ -604,8 +521,8 @@
     }
    ],
    "source": [
-    "df_corr_all = compute_cve_correlations(df, exclude_vuln_free_certs = False)\n",
-    "df_corr_vuln_rich = compute_cve_correlations(df, exclude_vuln_free_certs = True)"
+    "df_corr_all = compute_cve_correlations(df, exclude_vuln_free_certs = False, output_path=\"/Users/adam/phd/projects/certificates/sec-certs/data/sar_correlations/all_certs_sar_cve_corr.csv\")\n",
+    "df_corr_vuln_rich = compute_cve_correlations(df, exclude_vuln_free_certs = True, output_path=\"/Users/adam/phd/projects/certificates/sec-certs/data/sar_correlations/vuln_rich_certs_sar_cve_corr.csv\")"
    ]
   },
   {
@@ -647,28 +564,28 @@
        "      <td>4965</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>ALC_CMS</th>\n",
-       "      <td>-0.118709</td>\n",
-       "      <td>-0.107015</td>\n",
-       "      <td>3152</td>\n",
+       "      <th>ADV_IMP</th>\n",
+       "      <td>-0.067373</td>\n",
+       "      <td>-0.011090</td>\n",
+       "      <td>2075</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>ADV_SPM</th>\n",
-       "      <td>-0.046963</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>897</td>\n",
+       "      <th>ALC_TAT</th>\n",
+       "      <td>-0.095240</td>\n",
+       "      <td>-0.282163</td>\n",
+       "      <td>1903</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>APE_OBJ</th>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>6</td>\n",
+       "      <th>ALC_DVS</th>\n",
+       "      <td>-0.064516</td>\n",
+       "      <td>-0.320521</td>\n",
+       "      <td>2803</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>ASE_TSS</th>\n",
-       "      <td>-0.036228</td>\n",
-       "      <td>-0.341614</td>\n",
-       "      <td>2488</td>\n",
+       "      <th>ACM_SCP</th>\n",
+       "      <td>-0.043073</td>\n",
+       "      <td>0.058181</td>\n",
+       "      <td>773</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -677,10 +594,10 @@
       "text/plain": [
        "         n_cves_corr  worst_cve_corr  support\n",
        "EAL        -0.090801       -0.122635     4965\n",
-       "ALC_CMS    -0.118709       -0.107015     3152\n",
-       "ADV_SPM    -0.046963             NaN      897\n",
-       "APE_OBJ     1.000000             NaN        6\n",
-       "ASE_TSS    -0.036228       -0.341614     2488"
+       "ADV_IMP    -0.067373       -0.011090     2075\n",
+       "ALC_TAT    -0.095240       -0.282163     1903\n",
+       "ALC_DVS    -0.064516       -0.320521     2803\n",
+       "ACM_SCP    -0.043073        0.058181      773"
       ]
      },
      "execution_count": 11,
@@ -732,28 +649,28 @@
        "      <td>589</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>ALC_CMS</th>\n",
-       "      <td>-0.187707</td>\n",
-       "      <td>-0.107015</td>\n",
-       "      <td>384</td>\n",
+       "      <th>ADV_IMP</th>\n",
+       "      <td>-0.023401</td>\n",
+       "      <td>-0.011090</td>\n",
+       "      <td>151</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>ASE_TSS</th>\n",
-       "      <td>-0.040247</td>\n",
-       "      <td>-0.341614</td>\n",
-       "      <td>268</td>\n",
+       "      <th>ALC_TAT</th>\n",
+       "      <td>-0.110212</td>\n",
+       "      <td>-0.282163</td>\n",
+       "      <td>147</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>ATE_DPT</th>\n",
-       "      <td>-0.054768</td>\n",
-       "      <td>-0.148830</td>\n",
-       "      <td>203</td>\n",
+       "      <th>ALC_DVS</th>\n",
+       "      <td>-0.033864</td>\n",
+       "      <td>-0.320521</td>\n",
+       "      <td>205</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>ADV_FSP</th>\n",
-       "      <td>-0.133901</td>\n",
-       "      <td>-0.058794</td>\n",
-       "      <td>545</td>\n",
+       "      <th>ACM_SCP</th>\n",
+       "      <td>-0.098861</td>\n",
+       "      <td>0.058181</td>\n",
+       "      <td>103</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -762,10 +679,10 @@
       "text/plain": [
        "         n_cves_corr  worst_cve_corr  support\n",
        "EAL        -0.126538       -0.122635      589\n",
-       "ALC_CMS    -0.187707       -0.107015      384\n",
-       "ASE_TSS    -0.040247       -0.341614      268\n",
-       "ATE_DPT    -0.054768       -0.148830      203\n",
-       "ADV_FSP    -0.133901       -0.058794      545"
+       "ADV_IMP    -0.023401       -0.011090      151\n",
+       "ALC_TAT    -0.110212       -0.282163      147\n",
+       "ALC_DVS    -0.033864       -0.320521      205\n",
+       "ACM_SCP    -0.098861        0.058181      103"
       ]
      },
      "execution_count": 12,
@@ -794,14 +711,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Number of certificates with >0 CVEs but 0 maintenance reports: 562\n",
+      "Number of certificates with >0 CVEs but 0 maintenance reports: 0\n",
       "Number of certificates with >0 CVEs and >0 maintenance reports: 27\n",
       "count                             23\n",
       "mean     857 days 22:57:23.478260864\n",
@@ -816,366 +733,14 @@
     }
    ],
    "source": [
-    "# Compute how many vulnerable certs have 0 or >0 maintenance updates\n",
     "n_unfixed_certs = df.loc[(df.n_cves>0) & (df.n_maintenances==0)].shape[0]\n",
     "n_fixed_certs = df.loc[(df.n_cves>0) & (df.n_maintenances>0)].shape[0]\n",
     "print(f'Number of certificates with >0 CVEs but 0 maintenance reports: {n_unfixed_certs}')\n",
     "print(f'Number of certificates with >0 CVEs and >0 maintenance reports: {n_fixed_certs}')\n",
     "\n",
-    "# Compute earlierst maintenance that comes after some CVE, compute time to fix\n",
-    "df_fixed = df.loc[(df.n_cves > 0) & (df.n_maintenances > 0)].copy()\n",
-    "df_fixed.loc[:, 'earliest_maintenance'] = df_fixed.apply(find_earliest_after_cve, axis=1)\n",
-    "df_fixed.loc[:, 'time_to_fix_cve'] = df_fixed.earliest_maintenance - df_fixed.earliest_cve\n",
-    "\n",
-    "print(df_fixed.loc[~df_fixed.time_to_fix_cve.isnull()]['time_to_fix_cve'].describe())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "dgst\n",
-       "822d871f3bbd06d7    782 days\n",
-       "8a5e6bcda602920c    417 days\n",
-       "547e899b9b5eabae         NaT\n",
-       "a92fe4e09a418288    175 days\n",
-       "c57b9308028caccf    520 days\n",
-       "b891647233f3f188    430 days\n",
-       "2f4a41e8a5dfac6a    258 days\n",
-       "82e3393c66be5edc         NaT\n",
-       "b3f6140720637831    265 days\n",
-       "83e595d2b5e3d74f         NaT\n",
-       "3daa6b93207785e3     34 days\n",
-       "833ff87d69cff5db    218 days\n",
-       "fc69121b90c093fb    279 days\n",
-       "bb2ddf62a9393e92   1564 days\n",
-       "172856c5954d49f3    201 days\n",
-       "86c6082b2ea2db8c    995 days\n",
-       "09b43147f1307352    554 days\n",
-       "cd4a42e7e2a3cd8e    874 days\n",
-       "2564b0bf8d343787    930 days\n",
-       "dee3834bed9a5858         NaT\n",
-       "a67614bd685d7dfc   3752 days\n",
-       "d7496d93563c3bea    541 days\n",
-       "16f1a518cd842fcb    392 days\n",
-       "53eb70503e31496e   2354 days\n",
-       "493ead9126e2df75   1680 days\n",
-       "71e471543ea7e03f   1601 days\n",
-       "c25126449c82fe65    917 days\n",
-       "Name: time_to_fix_cve, dtype: timedelta64[ns]"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_fixed.time_to_fix_cve"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\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>cert_id</th>\n",
-       "      <th>name</th>\n",
-       "      <th>status</th>\n",
-       "      <th>category</th>\n",
-       "      <th>manufacturer</th>\n",
-       "      <th>scheme</th>\n",
-       "      <th>security_level</th>\n",
-       "      <th>not_valid_before</th>\n",
-       "      <th>not_valid_after</th>\n",
-       "      <th>report_link</th>\n",
-       "      <th>...</th>\n",
-       "      <th>cpe_matches</th>\n",
-       "      <th>verified_cpe_matches</th>\n",
-       "      <th>related_cves</th>\n",
-       "      <th>directly_referenced_by</th>\n",
-       "      <th>indirectly_referenced_by</th>\n",
-       "      <th>directly_referencing</th>\n",
-       "      <th>indirectly_referencing</th>\n",
-       "      <th>sars</th>\n",
-       "      <th>highest_security_level</th>\n",
-       "      <th>year_from</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>dgst</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>8298c7814b3b2860</th>\n",
-       "      <td>KECS-CR-22-11</td>\n",
-       "      <td>KSignAccess V4.1</td>\n",
-       "      <td>active</td>\n",
-       "      <td>Access Control Devices and Systems</td>\n",
-       "      <td>KSign Co., LTD.</td>\n",
-       "      <td>KR</td>\n",
-       "      <td>{}</td>\n",
-       "      <td>2022-03-30</td>\n",
-       "      <td>2027-03-30</td>\n",
-       "      <td>https://www.commoncriteriaportal.org/files/epf...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>{SAR(assurance_class='Security Target evaluati...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2022</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9a1c767d358eee50</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>VeroGuard HSM Digital ID for Open Networks v1.0</td>\n",
-       "      <td>active</td>\n",
-       "      <td>Access Control Devices and Systems</td>\n",
-       "      <td>VeroGuard Systems Pty Ltd</td>\n",
-       "      <td>AU</td>\n",
-       "      <td>{ALC_FLR.1, EAL2+}</td>\n",
-       "      <td>2022-02-23</td>\n",
-       "      <td>2027-02-23</td>\n",
-       "      <td>https://www.commoncriteriaportal.org/files/epf...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>{SAR(assurance_class='Guidance documents', fam...</td>\n",
-       "      <td>EAL2+</td>\n",
-       "      <td>2022</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>979e00ac7d3e229c</th>\n",
-       "      <td>KECS-CR-21-63</td>\n",
-       "      <td>SafeIdentity v5.1</td>\n",
-       "      <td>active</td>\n",
-       "      <td>Access Control Devices and Systems</td>\n",
-       "      <td>Hancom With Inc.</td>\n",
-       "      <td>KR</td>\n",
-       "      <td>{}</td>\n",
-       "      <td>2021-11-05</td>\n",
-       "      <td>2026-11-05</td>\n",
-       "      <td>https://www.commoncriteriaportal.org/files/epf...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>{SAR(assurance_class='Security Target evaluati...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>a6015339aa4434cf</th>\n",
-       "      <td>KECS-CR-21-52</td>\n",
-       "      <td>Bandi SSO v7.0</td>\n",
-       "      <td>active</td>\n",
-       "      <td>Access Control Devices and Systems</td>\n",
-       "      <td>Bandi S</td>\n",
-       "      <td>KR</td>\n",
-       "      <td>{}</td>\n",
-       "      <td>2021-09-08</td>\n",
-       "      <td>2026-09-08</td>\n",
-       "      <td>https://www.commoncriteriaportal.org/files/epf...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>{SAR(assurance_class='Security Target evaluati...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2021</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>a89ee15539d006d1</th>\n",
-       "      <td>CSEC2019015</td>\n",
-       "      <td>DriveLock Agent 2019.2 (Device and Application...</td>\n",
-       "      <td>active</td>\n",
-       "      <td>Access Control Devices and Systems</td>\n",
-       "      <td>DriveLock SE</td>\n",
-       "      <td>SE</td>\n",
-       "      <td>{EAL3, ALC_FLR.3}</td>\n",
-       "      <td>2021-04-07</td>\n",
-       "      <td>2026-04-07</td>\n",
-       "      <td>https://www.commoncriteriaportal.org/files/epf...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>{SAR(assurance_class='Life-cycle support', fam...</td>\n",
-       "      <td>EAL3</td>\n",
-       "      <td>2021</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 23 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                        cert_id  \\\n",
-       "dgst                              \n",
-       "8298c7814b3b2860  KECS-CR-22-11   \n",
-       "9a1c767d358eee50            NaN   \n",
-       "979e00ac7d3e229c  KECS-CR-21-63   \n",
-       "a6015339aa4434cf  KECS-CR-21-52   \n",
-       "a89ee15539d006d1    CSEC2019015   \n",
-       "\n",
-       "                                                               name  status  \\\n",
-       "dgst                                                                          \n",
-       "8298c7814b3b2860                                   KSignAccess V4.1  active   \n",
-       "9a1c767d358eee50    VeroGuard HSM Digital ID for Open Networks v1.0  active   \n",
-       "979e00ac7d3e229c                                  SafeIdentity v5.1  active   \n",
-       "a6015339aa4434cf                                     Bandi SSO v7.0  active   \n",
-       "a89ee15539d006d1  DriveLock Agent 2019.2 (Device and Application...  active   \n",
-       "\n",
-       "                                            category  \\\n",
-       "dgst                                                   \n",
-       "8298c7814b3b2860  Access Control Devices and Systems   \n",
-       "9a1c767d358eee50  Access Control Devices and Systems   \n",
-       "979e00ac7d3e229c  Access Control Devices and Systems   \n",
-       "a6015339aa4434cf  Access Control Devices and Systems   \n",
-       "a89ee15539d006d1  Access Control Devices and Systems   \n",
-       "\n",
-       "                               manufacturer scheme      security_level  \\\n",
-       "dgst                                                                     \n",
-       "8298c7814b3b2860            KSign Co., LTD.     KR                  {}   \n",
-       "9a1c767d358eee50  VeroGuard Systems Pty Ltd     AU  {ALC_FLR.1, EAL2+}   \n",
-       "979e00ac7d3e229c           Hancom With Inc.     KR                  {}   \n",
-       "a6015339aa4434cf                    Bandi S     KR                  {}   \n",
-       "a89ee15539d006d1               DriveLock SE     SE   {EAL3, ALC_FLR.3}   \n",
-       "\n",
-       "                 not_valid_before not_valid_after  \\\n",
-       "dgst                                                \n",
-       "8298c7814b3b2860       2022-03-30      2027-03-30   \n",
-       "9a1c767d358eee50       2022-02-23      2027-02-23   \n",
-       "979e00ac7d3e229c       2021-11-05      2026-11-05   \n",
-       "a6015339aa4434cf       2021-09-08      2026-09-08   \n",
-       "a89ee15539d006d1       2021-04-07      2026-04-07   \n",
-       "\n",
-       "                                                        report_link  ...  \\\n",
-       "dgst                                                                 ...   \n",
-       "8298c7814b3b2860  https://www.commoncriteriaportal.org/files/epf...  ...   \n",
-       "9a1c767d358eee50  https://www.commoncriteriaportal.org/files/epf...  ...   \n",
-       "979e00ac7d3e229c  https://www.commoncriteriaportal.org/files/epf...  ...   \n",
-       "a6015339aa4434cf  https://www.commoncriteriaportal.org/files/epf...  ...   \n",
-       "a89ee15539d006d1  https://www.commoncriteriaportal.org/files/epf...  ...   \n",
-       "\n",
-       "                 cpe_matches verified_cpe_matches related_cves  \\\n",
-       "dgst                                                             \n",
-       "8298c7814b3b2860         NaN                  NaN          NaN   \n",
-       "9a1c767d358eee50         NaN                  NaN          NaN   \n",
-       "979e00ac7d3e229c         NaN                  NaN          NaN   \n",
-       "a6015339aa4434cf         NaN                  NaN          NaN   \n",
-       "a89ee15539d006d1         NaN                  NaN          NaN   \n",
-       "\n",
-       "                 directly_referenced_by  indirectly_referenced_by  \\\n",
-       "dgst                                                                \n",
-       "8298c7814b3b2860                    NaN                       NaN   \n",
-       "9a1c767d358eee50                    NaN                       NaN   \n",
-       "979e00ac7d3e229c                    NaN                       NaN   \n",
-       "a6015339aa4434cf                    NaN                       NaN   \n",
-       "a89ee15539d006d1                    NaN                       NaN   \n",
-       "\n",
-       "                 directly_referencing indirectly_referencing  \\\n",
-       "dgst                                                           \n",
-       "8298c7814b3b2860                  NaN                    NaN   \n",
-       "9a1c767d358eee50                  NaN                    NaN   \n",
-       "979e00ac7d3e229c                  NaN                    NaN   \n",
-       "a6015339aa4434cf                  NaN                    NaN   \n",
-       "a89ee15539d006d1                  NaN                    NaN   \n",
-       "\n",
-       "                                                               sars  \\\n",
-       "dgst                                                                  \n",
-       "8298c7814b3b2860  {SAR(assurance_class='Security Target evaluati...   \n",
-       "9a1c767d358eee50  {SAR(assurance_class='Guidance documents', fam...   \n",
-       "979e00ac7d3e229c  {SAR(assurance_class='Security Target evaluati...   \n",
-       "a6015339aa4434cf  {SAR(assurance_class='Security Target evaluati...   \n",
-       "a89ee15539d006d1  {SAR(assurance_class='Life-cycle support', fam...   \n",
-       "\n",
-       "                 highest_security_level year_from  \n",
-       "dgst                                               \n",
-       "8298c7814b3b2860                    NaN      2022  \n",
-       "9a1c767d358eee50                  EAL2+      2022  \n",
-       "979e00ac7d3e229c                    NaN      2021  \n",
-       "a6015339aa4434cf                    NaN      2021  \n",
-       "a89ee15539d006d1                   EAL3      2021  \n",
-       "\n",
-       "[5 rows x 23 columns]"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
+    "df_fixed = compute_maintenances_that_should_fix_vulns(df)\n",
+    "print(df_fixed.loc[~df_fixed.time_to_fix_cve.isnull()]['time_to_fix_cve'].describe())\n",
+    "mu_filenames = move_fixing_mu_to_directory(df_fixed, main_dset.to_pandas(), \"/Users/adam/Downloads/mu\", \"/Users/adam/phd/projects/certificates/sec-certs/datasets/from_web_latest/certs/maintenances/reports/pdf\")"
    ]
   }
  ],
diff --git a/sec_certs/dataset/common_criteria.py b/sec_certs/dataset/common_criteria.py
index 732489cd..1a12b7ee 100644
--- a/sec_certs/dataset/common_criteria.py
+++ b/sec_certs/dataset/common_criteria.py
@@ -60,8 +60,37 @@ class CCDataset(Dataset[CommonCriteriaCert], ComplexSerializableType):
 
         df.not_valid_before = pd.to_datetime(df.not_valid_before, infer_datetime_format=True)
         df.not_valid_after = pd.to_datetime(df.not_valid_after, infer_datetime_format=True)
-        df = df.astype({"category": "category", "status": "category", "scheme": "category"})
-        df = df.fillna(value=np.nan)
+        df = df.astype({"category": "category", "status": "category", "scheme": "category"}).fillna(value=np.nan)
+        df = df.loc[
+            ~df.manufacturer.isnull()
+        ]  # Manually delete one certificate with None manufacturer (seems to have many blank fields)
+
+        # Introduce highest security level EAL variable
+        eals = [
+            "EAL1",
+            "EAL1+",
+            "EAL2",
+            "EAL2+",
+            "EAL3",
+            "EAL3+",
+            "EAL4",
+            "EAL4+",
+            "EAL5",
+            "EAL5+",
+            "EAL6+",
+            "EAL7",
+            "EAL7+",
+        ]
+        df["highest_security_level"] = df.security_level.map(
+            lambda all_levels: [eal for eal in all_levels if eal.startswith("EAL")] if all_levels else np.nan
+        )
+        df.highest_security_level = df.highest_security_level.map(
+            lambda x: x[0] if x and isinstance(x, list) else np.nan
+        )
+        df.highest_security_level = pd.Categorical(df.highest_security_level, categories=eals, ordered=True)
+
+        # Introduce year when cert got valid
+        df["year_from"] = pd.DatetimeIndex(df.not_valid_before).year
 
         return df
 
@@ -132,6 +161,17 @@ class CCDataset(Dataset[CommonCriteriaCert], ComplexSerializableType):
     def pp_dataset_path(self) -> Path:
         return self.auxillary_datasets_dir / "pp_dataset.json"
 
+    @property
+    def mu_dataset_path(self) -> Path:
+        return self.certs_dir / "maintenances"
+
+    @property
+    def mu_dataset(self) -> "CCDatasetMaintenanceUpdates":
+        if not self.mu_dataset_path.exists():
+            raise ValueError("The dataset with maintenance updates does not exist")
+
+        return CCDatasetMaintenanceUpdates.from_json(self.mu_dataset_path / "Maintenance updates.json")
+
     BASE_URL: ClassVar[str] = "https://www.commoncriteriaportal.org"
 
     HTML_PRODUCTS_URL = {
@@ -734,7 +774,7 @@ class CCDataset(Dataset[CommonCriteriaCert], ComplexSerializableType):
     def get_certs_from_name(self, cert_name: str) -> List[CommonCriteriaCert]:
         return [crt for crt in self if crt.name == cert_name]
 
-    def process_maintenance_updates(self) -> None:
+    def process_maintenance_updates(self) -> "CCDatasetMaintenanceUpdates":
         maintained_certs: List[CommonCriteriaCert] = [x for x in self if x.maintenance_updates]
         updates = list(
             itertools.chain.from_iterable(
@@ -742,13 +782,15 @@ class CCDataset(Dataset[CommonCriteriaCert], ComplexSerializableType):
             )
         )
         update_dset: CCDatasetMaintenanceUpdates = CCDatasetMaintenanceUpdates(
-            {x.dgst: x for x in updates}, root_dir=self.certs_dir / "maintenance", name="Maintenance updates"
+            {x.dgst: x for x in updates}, root_dir=self.mu_dataset_path, name="Maintenance updates"
         )
         update_dset.set_local_paths()
         update_dset.download_all_pdfs()
         update_dset.convert_all_pdfs()
         update_dset._extract_data()
 
+        return update_dset
+
     def generate_cert_name_keywords(self) -> Set[str]:
         df = self.to_pandas()
         certificate_names = set(df["name"])
@@ -793,6 +835,7 @@ class CCDatasetMaintenanceUpdates(CCDataset, ComplexSerializableType):
         with input_path.open("r") as handle:
             dset = json.load(handle, cls=CustomJSONDecoder)
         return dset
+        # TODO: This does not set the root_path properly
 
     def to_pandas(self) -> pd.DataFrame:
         df = pd.DataFrame(
@@ -812,3 +855,25 @@ class CCDatasetMaintenanceUpdates(CCDataset, ComplexSerializableType):
             dset_path = Path(tmp_dir) / "cc_maintenances_latest_dataset.json"
             helpers.download_file(config.cc_maintenances_latest_snapshot, dset_path)
             return cls.from_json(dset_path)
+
+    def get_n_maintenances_df(self) -> pd.DataFrame:
+        """
+        Returns a DataFrame with CommonCriteriaCert digest as an index, and number of registered maintenances as a value
+        """
+        main_df = self.to_pandas()
+        main_df.maintenance_date = main_df.maintenance_date.dt.date
+        n_maintenances = (
+            main_df.groupby("related_cert_digest").name.count().rename("n_maintenances").fillna(0).astype("int32")
+        )
+
+        n_maintenances.index.name = "dgst"
+        return n_maintenances
+
+    def get_maintenance_dates_df(self) -> pd.DataFrame:
+        """
+        Returns a DataFrame with CommonCriteriaCert digest as an index, and all the maintenance dates as a value.
+        """
+        main_dates = self.to_pandas()
+        main_dates.maintenance_date = main_dates.maintenance_date.map(lambda x: [x])
+        main_dates.index.name = "dgst"
+        return main_dates.groupby("related_cert_digest").maintenance_date.agg("sum").rename("maintenance_dates")
diff --git a/sec_certs/pandas_helpers.py b/sec_certs/pandas_helpers.py
index de2ee38d..2847a167 100644
--- a/sec_certs/pandas_helpers.py
+++ b/sec_certs/pandas_helpers.py
@@ -1,9 +1,12 @@
 from pathlib import Path
+from shutil import copyfile
 from typing import List, Optional, Set, Union
 
+import numpy as np
 import pandas as pd
 from tqdm.notebook import tqdm
 
+from sec_certs.dataset.cve import CVEDataset
 from sec_certs.sample.sar import SAR
 
 
@@ -72,3 +75,66 @@ def compute_cve_correlations(
         df_corr.to_csv(output_path)
 
     return df_corr
+
+
+def find_earliest_maintenance_after_cve(row):
+    "Given dataframe row, will return first maintenance date succeeding first published CVE related to a certificate if exists, else np.nan"
+    if isinstance(row["earliest_cve"], float):
+        return np.nan
+    maintenances_after_cve = list(filter(lambda x: x > row["earliest_cve"], row["maintenance_dates"]))
+    return min(maintenances_after_cve) if maintenances_after_cve else np.nan
+
+
+def expand_cc_df_with_cve_cols(cc_df: pd.DataFrame, cve_dset: CVEDataset) -> pd.DataFrame:
+    df = cc_df.copy()
+    df["n_cves"] = df.related_cves.map(lambda x: len(x) if x is not np.nan else 0)
+    df["cve_published_dates"] = df.related_cves.map(
+        lambda x: [cve_dset[y].published_date.date() for y in x] if x is not np.nan else np.nan  # type: ignore
+    )
+    df["earliest_cve"] = df.cve_published_dates.map(lambda x: min(x) if isinstance(x, list) else np.nan)
+    df["worst_cve"] = df.related_cves.map(
+        lambda x: max([cve_dset[cve].impact.base_score for cve in x]) if x is not np.nan else np.nan
+    )
+    return df
+
+
+def compute_maintenances_that_should_fix_vulns(df: pd.DataFrame) -> pd.DataFrame:
+    """
+    Given pre-processed CCDataset DataFrame (expanded with MU & CVE cols), computes time to fix CVE and earliest CVE after some vuln.
+    """
+    df_fixed = df.loc[(df.n_cves > 0) & (df.n_maintenances > 0)].copy()
+    df_fixed.maintenance_dates = df_fixed.maintenance_dates.map(
+        lambda x: [y.date() for y in x] if not isinstance(x, float) else x
+    )
+    df_fixed.loc[:, "earliest_maintenance"] = df_fixed.apply(find_earliest_maintenance_after_cve, axis=1)
+    df_fixed.loc[:, "time_to_fix_cve"] = df_fixed.earliest_maintenance - df_fixed.earliest_cve
+    df_fixed.index.name = "dgst"
+    return df_fixed
+
+
+def move_fixing_mu_to_directory(
+    df_fixed: pd.DataFrame, main_df: pd.DataFrame, outdir: Union[str, Path], inpath: Union[str, Path]
+) -> pd.DataFrame:
+    """
+    Localizes reports of maintenance updates that should fix some vulnerability and copies them into a directory.
+    df_fixed should be the output of compute_maintenances_that_should_fix_vulns method.
+    """
+    fixed_df_index = (
+        df_fixed.loc[~df_fixed.earliest_maintenance.isnull()]
+        .reset_index()
+        .set_index(["dgst", "earliest_maintenance"])
+        .index.to_flat_index()
+    )
+    main_df.maintenance_date = main_df.maintenance_date.map(lambda x: x.date())
+    main_prefiltered = main_df.reset_index().set_index(["related_cert_digest", "maintenance_date"])
+    mu_filenames = main_prefiltered.loc[main_prefiltered.index.isin(fixed_df_index), "dgst"]
+    mu_filenames = mu_filenames.map(lambda x: x + ".pdf")
+
+    inpath = Path(inpath)
+    if not inpath.exists():
+        inpath.mkdir()
+
+    for i in mu_filenames:
+        copyfile(inpath / i, Path(outdir) / i)
+
+    return mu_filenames