diff options
| -rw-r--r-- | notebooks/fips/references.ipynb | 331 |
1 files changed, 211 insertions, 120 deletions
diff --git a/notebooks/fips/references.ipynb b/notebooks/fips/references.ipynb index b5ea1406..8f59d8b8 100644 --- a/notebooks/fips/references.ipynb +++ b/notebooks/fips/references.ipynb @@ -12,11 +12,12 @@ }, { "cell_type": "code", - "execution_count": 156, + "execution_count": 88, "id": "91a0cb1b", "metadata": {}, "outputs": [], "source": [ + "import sys\n", "import pandas as pd\n", "import numpy as np\n", "import seaborn as sns\n", @@ -30,7 +31,7 @@ "from pprint import pprint\n", "\n", "# Typing imports\n", - "from pandas.core.frame import DataFrame\n", + "from pandas.core.frame import DataFrame, Series\n", "from typing import Callable\n", "\n", "\n", @@ -72,7 +73,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Downloading FIPS Dataset: 100%|█████████████████████████████████████| 57.1M/57.1M [00:06<00:00, 8.73MB/s]\n" + "Downloading FIPS Dataset: 100%|█████████████████████████████████████| 57.1M/57.1M [00:06<00:00, 9.78MB/s]\n" ] } ], @@ -173,7 +174,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 8, "id": "eca9eb4d", "metadata": {}, "outputs": [ @@ -217,7 +218,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 9, "id": "ac66ad0f", "metadata": {}, "outputs": [ @@ -417,7 +418,7 @@ }, { "cell_type": "markdown", - "id": "794234f8", + "id": "84572319", "metadata": {}, "source": [ "#### Total number of assigned CVEs across embodiments" @@ -425,8 +426,8 @@ }, { "cell_type": "code", - "execution_count": 113, - "id": "07474595", + "execution_count": 14, + "id": "86f9e1d4", "metadata": {}, "outputs": [ { @@ -437,7 +438,7 @@ " 'Single Chip': 1})" ] }, - "execution_count": 113, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -455,7 +456,7 @@ }, { "cell_type": "markdown", - "id": "eba4495f", + "id": "165041da", "metadata": {}, "source": [ "#### Total number of assigned CVEs across levels" @@ -463,8 +464,8 @@ }, { "cell_type": "code", - "execution_count": 114, - "id": "504d3134", + "execution_count": 15, + "id": "fb0dad90", "metadata": {}, "outputs": [ { @@ -473,7 +474,7 @@ "Counter({1.0: 133, 2.0: 86, 3.0: 1})" ] }, - "execution_count": 114, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -490,7 +491,7 @@ }, { "cell_type": "markdown", - "id": "7b314d38", + "id": "6fe98617", "metadata": {}, "source": [ "#### Total number of assigned CVEs across types" @@ -498,8 +499,8 @@ }, { "cell_type": "code", - "execution_count": 115, - "id": "3acfa3ea", + "execution_count": 16, + "id": "b1e1fe59", "metadata": {}, "outputs": [ { @@ -511,7 +512,7 @@ " 'Software-Hybrid': 3})" ] }, - "execution_count": 115, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -528,7 +529,7 @@ }, { "cell_type": "markdown", - "id": "4692cad3", + "id": "0adc5009", "metadata": {}, "source": [ "#### Total number of assigned CVEs across status\n" @@ -536,8 +537,8 @@ }, { "cell_type": "code", - "execution_count": 116, - "id": "695df8a7", + "execution_count": 17, + "id": "39e0c5ef", "metadata": {}, "outputs": [ { @@ -546,7 +547,7 @@ "Counter({'active': 32, 'historical': 188})" ] }, - "execution_count": 116, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -571,7 +572,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 18, "id": "678835dd", "metadata": { "scrolled": false @@ -602,7 +603,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 19, "id": "3c17e838", "metadata": { "scrolled": false @@ -624,7 +625,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 20, "id": "6ca75914", "metadata": {}, "outputs": [ @@ -708,11 +709,11 @@ " <td>Multi-Chip Stand Alone</td>\n", " <td>2020-02-19</td>\n", " <td>NaT</td>\n", - " <td>{KTS#C794, SHS#C786, DSA#C786, RSA#C786, ECDSA...</td>\n", + " <td>{AES#C786, Triple-DES#C786, AES#C794, CVL#C786...</td>\n", " <td>...</td>\n", - " <td>{CVE-2016-6302, CVE-2016-3521, CVE-2016-4448, ...</td>\n", - " <td>{4146, 4164, 4147, 3699, 3893, 4135, 3921}</td>\n", - " <td>{4146, 4164, 4147, 3699, 3893, 4135, 3921}</td>\n", + " <td>{CVE-2016-0650, CVE-2015-5165, CVE-2014-0207, ...</td>\n", + " <td>{4147, 4135, 4164, 4146, 3893, 3921, 3699}</td>\n", + " <td>{4147, 4135, 4164, 4146, 3893, 3921, 3699}</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>{3893, 3921, 3699}</td>\n", @@ -732,17 +733,17 @@ " <td>Multi-Chip Stand Alone</td>\n", " <td>2010-08-12</td>\n", " <td>NaT</td>\n", - " <td>{HMAC#686, Triple-DES#846, DSA#391, AES#1168, ...</td>\n", + " <td>{AES GMAC#1168, AES#1168, DRBG#27, DRBG#23, DS...</td>\n", " <td>...</td>\n", - " <td>{CVE-2009-0320, CVE-2008-2250, CVE-2010-0025, ...</td>\n", - " <td>{1806, 1805, 2736, 1808, 1817, 1807, 1339}</td>\n", - " <td>{1806, 1805, 2736, 1808, 1817, 1807, 1339}</td>\n", + " <td>{CVE-2009-0081, CVE-2010-0024, CVE-2018-0972, ...</td>\n", + " <td>{1339, 1817, 1807, 1808, 2736, 1805, 1806}</td>\n", + " <td>{1339, 1817, 1807, 1808, 2736, 1805, 1806}</td>\n", " <td>{1334}</td>\n", - " <td>{1334, 1321, 1333}</td>\n", - " <td>{1806, 1805, 1808, 1817, 1807, 1339}</td>\n", - " <td>{1806, 1805, 1808, 1817, 1807, 1339}</td>\n", + " <td>{1333, 1321, 1334}</td>\n", + " <td>{1339, 1817, 1807, 1808, 1805, 1806}</td>\n", + " <td>{1339, 1817, 1807, 1808, 1805, 1806}</td>\n", " <td>{1334}</td>\n", - " <td>{1334, 1321, 1333}</td>\n", + " <td>{1333, 1321, 1334}</td>\n", " <td>2010</td>\n", " </tr>\n", " </tbody>\n", @@ -768,43 +769,43 @@ "\n", " algorithms ... \\\n", "dgst ... \n", - "10acb87b3040f4e1 {KTS#C794, SHS#C786, DSA#C786, RSA#C786, ECDSA... ... \n", - "3c4ee858b268931a {HMAC#686, Triple-DES#846, DSA#391, AES#1168, ... ... \n", + "10acb87b3040f4e1 {AES#C786, Triple-DES#C786, AES#C794, CVL#C786... ... \n", + "3c4ee858b268931a {AES GMAC#1168, AES#1168, DRBG#27, DRBG#23, DS... ... \n", "\n", " related_cves \\\n", "dgst \n", - "10acb87b3040f4e1 {CVE-2016-6302, CVE-2016-3521, CVE-2016-4448, ... \n", - "3c4ee858b268931a {CVE-2009-0320, CVE-2008-2250, CVE-2010-0025, ... \n", + "10acb87b3040f4e1 {CVE-2016-0650, CVE-2015-5165, CVE-2014-0207, ... \n", + "3c4ee858b268931a {CVE-2009-0081, CVE-2010-0024, CVE-2018-0972, ... \n", "\n", " module_directly_referenced_by \\\n", "dgst \n", - "10acb87b3040f4e1 {4146, 4164, 4147, 3699, 3893, 4135, 3921} \n", - "3c4ee858b268931a {1806, 1805, 2736, 1808, 1817, 1807, 1339} \n", + "10acb87b3040f4e1 {4147, 4135, 4164, 4146, 3893, 3921, 3699} \n", + "3c4ee858b268931a {1339, 1817, 1807, 1808, 2736, 1805, 1806} \n", "\n", " module_indirectly_referenced_by \\\n", "dgst \n", - "10acb87b3040f4e1 {4146, 4164, 4147, 3699, 3893, 4135, 3921} \n", - "3c4ee858b268931a {1806, 1805, 2736, 1808, 1817, 1807, 1339} \n", + "10acb87b3040f4e1 {4147, 4135, 4164, 4146, 3893, 3921, 3699} \n", + "3c4ee858b268931a {1339, 1817, 1807, 1808, 2736, 1805, 1806} \n", "\n", " module_directly_referencing module_indirectly_referencing \\\n", "dgst \n", "10acb87b3040f4e1 NaN NaN \n", - "3c4ee858b268931a {1334} {1334, 1321, 1333} \n", + "3c4ee858b268931a {1334} {1333, 1321, 1334} \n", "\n", " policy_directly_referenced_by \\\n", "dgst \n", "10acb87b3040f4e1 {3893, 3921, 3699} \n", - "3c4ee858b268931a {1806, 1805, 1808, 1817, 1807, 1339} \n", + "3c4ee858b268931a {1339, 1817, 1807, 1808, 1805, 1806} \n", "\n", " policy_indirectly_referenced_by \\\n", "dgst \n", "10acb87b3040f4e1 {3893, 3921, 3699} \n", - "3c4ee858b268931a {1806, 1805, 1808, 1817, 1807, 1339} \n", + "3c4ee858b268931a {1339, 1817, 1807, 1808, 1805, 1806} \n", "\n", " policy_directly_referencing policy_indirectly_referencing \\\n", "dgst \n", "10acb87b3040f4e1 NaN NaN \n", - "3c4ee858b268931a {1334} {1334, 1321, 1333} \n", + "3c4ee858b268931a {1334} {1333, 1321, 1334} \n", "\n", " year_from \n", "dgst \n", @@ -814,7 +815,7 @@ "[2 rows x 23 columns]" ] }, - "execution_count": 16, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -833,7 +834,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 21, "id": "b01d5d38", "metadata": {}, "outputs": [], @@ -857,8 +858,8 @@ }, { "cell_type": "code", - "execution_count": 58, - "id": "c53f3454", + "execution_count": 22, + "id": "2d3619d6", "metadata": {}, "outputs": [ { @@ -900,7 +901,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 23, "id": "f3402d08", "metadata": { "scrolled": true @@ -919,7 +920,7 @@ "[(3939, 3860)]" ] }, - "execution_count": 34, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -953,7 +954,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 24, "id": "b8225902", "metadata": { "scrolled": false @@ -971,8 +972,8 @@ }, { "cell_type": "code", - "execution_count": 84, - "id": "962d5073", + "execution_count": 25, + "id": "dfca806f", "metadata": {}, "outputs": [], "source": [ @@ -996,8 +997,8 @@ }, { "cell_type": "code", - "execution_count": 96, - "id": "7f53283a", + "execution_count": 26, + "id": "681996d3", "metadata": {}, "outputs": [ { @@ -1032,8 +1033,8 @@ }, { "cell_type": "code", - "execution_count": 95, - "id": "351df675", + "execution_count": 27, + "id": "88351957", "metadata": {}, "outputs": [ { @@ -1068,7 +1069,7 @@ }, { "cell_type": "code", - "execution_count": 105, + "execution_count": 28, "id": "91db647f", "metadata": { "scrolled": true @@ -1100,7 +1101,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 29, "id": "34b5c83b", "metadata": {}, "outputs": [], @@ -1119,7 +1120,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 30, "id": "6e69410d", "metadata": { "scrolled": true @@ -1150,7 +1151,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 31, "id": "0737ca41", "metadata": {}, "outputs": [ @@ -1160,7 +1161,7 @@ "Text(0.5, 1.0, 'Direct references among FIPS embodiments')" ] }, - "execution_count": 29, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" }, @@ -1194,7 +1195,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 32, "id": "72fb288b", "metadata": {}, "outputs": [], @@ -1213,7 +1214,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 33, "id": "79c3b7c8", "metadata": { "scrolled": false @@ -1250,7 +1251,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 34, "id": "6694e4cd", "metadata": {}, "outputs": [ @@ -1260,7 +1261,7 @@ "Text(0.5, 1.0, 'Direct references among FIPS certificate types')" ] }, - "execution_count": 32, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" }, @@ -1297,7 +1298,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 35, "id": "77a1db87", "metadata": { "scrolled": false @@ -1336,8 +1337,8 @@ }, { "cell_type": "code", - "execution_count": 117, - "id": "dd08db81", + "execution_count": 36, + "id": "bb8fed46", "metadata": { "scrolled": true }, @@ -1422,17 +1423,17 @@ " <td>Multi-Chip Embedded</td>\n", " <td>2019-03-27</td>\n", " <td>2024-03-26</td>\n", - " <td>{RSA#3045, SHS#4536, AES#5659, DRBG#2285, SHA-...</td>\n", + " <td>{SHS#4537, SHS#4536, ECDSA#1529, AES#5659, KTS...</td>\n", " <td>...</td>\n", " <td>NaN</td>\n", " <td>{3382}</td>\n", - " <td>{3384, 3382, 3383}</td>\n", + " <td>{3382, 3383, 3384}</td>\n", " <td>{3382}</td>\n", - " <td>{3384, 3382, 3383}</td>\n", + " <td>{3382, 3383, 3384}</td>\n", " <td>{3382}</td>\n", - " <td>{3384, 3382, 3383}</td>\n", + " <td>{3382, 3383, 3384}</td>\n", " <td>{3382}</td>\n", - " <td>{3384, 3382, 3383}</td>\n", + " <td>{3382, 3383, 3384}</td>\n", " <td>2019</td>\n", " </tr>\n", " <tr>\n", @@ -1446,17 +1447,17 @@ " <td>Single Chip</td>\n", " <td>2019-03-22</td>\n", " <td>2024-03-21</td>\n", - " <td>{SHS#4537, ECDSA#1529, RSA#3045, SHS#4536}</td>\n", + " <td>{ECDSA#1529, SHS#4536, SHS#4537, RSA#3045}</td>\n", " <td>...</td>\n", " <td>NaN</td>\n", " <td>{3384, 3383}</td>\n", - " <td>{3384, 3382, 3383}</td>\n", + " <td>{3382, 3383, 3384}</td>\n", " <td>{3384, 3383}</td>\n", - " <td>{3384, 3382, 3383}</td>\n", + " <td>{3382, 3383, 3384}</td>\n", " <td>{3384, 3383}</td>\n", - " <td>{3384, 3382, 3383}</td>\n", + " <td>{3382, 3383, 3384}</td>\n", " <td>{3384, 3383}</td>\n", - " <td>{3384, 3382, 3383}</td>\n", + " <td>{3382, 3383, 3384}</td>\n", " <td>2019</td>\n", " </tr>\n", " <tr>\n", @@ -1470,17 +1471,17 @@ " <td>Multi-Chip Embedded</td>\n", " <td>2019-03-22</td>\n", " <td>2024-03-21</td>\n", - " <td>{RSA#3045, SHS#4536, AES#5659, DRBG#2285, SHA-...</td>\n", + " <td>{SHS#4537, SHS#4536, ECDSA#1529, AES#5659, KTS...</td>\n", " <td>...</td>\n", " <td>NaN</td>\n", " <td>{3382}</td>\n", - " <td>{3384, 3382, 3383}</td>\n", + " <td>{3382, 3383, 3384}</td>\n", " <td>{3382}</td>\n", - " <td>{3384, 3382, 3383}</td>\n", + " <td>{3382, 3383, 3384}</td>\n", " <td>{3382}</td>\n", - " <td>{3384, 3382, 3383}</td>\n", + " <td>{3382, 3383, 3384}</td>\n", " <td>{3382}</td>\n", - " <td>{3384, 3382, 3383}</td>\n", + " <td>{3382, 3383, 3384}</td>\n", " <td>2019</td>\n", " </tr>\n", " </tbody>\n", @@ -1509,9 +1510,9 @@ "\n", " algorithms ... \\\n", "dgst ... \n", - "6ef02a389c6415e7 {RSA#3045, SHS#4536, AES#5659, DRBG#2285, SHA-... ... \n", - "a080dde530fce451 {SHS#4537, ECDSA#1529, RSA#3045, SHS#4536} ... \n", - "efb092e03612f568 {RSA#3045, SHS#4536, AES#5659, DRBG#2285, SHA-... ... \n", + "6ef02a389c6415e7 {SHS#4537, SHS#4536, ECDSA#1529, AES#5659, KTS... ... \n", + "a080dde530fce451 {ECDSA#1529, SHS#4536, SHS#4537, RSA#3045} ... \n", + "efb092e03612f568 {SHS#4537, SHS#4536, ECDSA#1529, AES#5659, KTS... ... \n", "\n", " related_cves module_directly_referenced_by \\\n", "dgst \n", @@ -1521,32 +1522,32 @@ "\n", " module_indirectly_referenced_by module_directly_referencing \\\n", "dgst \n", - "6ef02a389c6415e7 {3384, 3382, 3383} {3382} \n", - "a080dde530fce451 {3384, 3382, 3383} {3384, 3383} \n", - "efb092e03612f568 {3384, 3382, 3383} {3382} \n", + "6ef02a389c6415e7 {3382, 3383, 3384} {3382} \n", + "a080dde530fce451 {3382, 3383, 3384} {3384, 3383} \n", + "efb092e03612f568 {3382, 3383, 3384} {3382} \n", "\n", " module_indirectly_referencing policy_directly_referenced_by \\\n", "dgst \n", - "6ef02a389c6415e7 {3384, 3382, 3383} {3382} \n", - "a080dde530fce451 {3384, 3382, 3383} {3384, 3383} \n", - "efb092e03612f568 {3384, 3382, 3383} {3382} \n", + "6ef02a389c6415e7 {3382, 3383, 3384} {3382} \n", + "a080dde530fce451 {3382, 3383, 3384} {3384, 3383} \n", + "efb092e03612f568 {3382, 3383, 3384} {3382} \n", "\n", " policy_indirectly_referenced_by policy_directly_referencing \\\n", "dgst \n", - "6ef02a389c6415e7 {3384, 3382, 3383} {3382} \n", - "a080dde530fce451 {3384, 3382, 3383} {3384, 3383} \n", - "efb092e03612f568 {3384, 3382, 3383} {3382} \n", + "6ef02a389c6415e7 {3382, 3383, 3384} {3382} \n", + "a080dde530fce451 {3382, 3383, 3384} {3384, 3383} \n", + "efb092e03612f568 {3382, 3383, 3384} {3382} \n", "\n", " policy_indirectly_referencing year_from \n", "dgst \n", - "6ef02a389c6415e7 {3384, 3382, 3383} 2019 \n", - "a080dde530fce451 {3384, 3382, 3383} 2019 \n", - "efb092e03612f568 {3384, 3382, 3383} 2019 \n", + "6ef02a389c6415e7 {3382, 3383, 3384} 2019 \n", + "a080dde530fce451 {3382, 3383, 3384} 2019 \n", + "efb092e03612f568 {3382, 3383, 3384} 2019 \n", "\n", "[3 rows x 23 columns]" ] }, - "execution_count": 117, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -1557,31 +1558,43 @@ }, { "cell_type": "markdown", - "id": "ab76893c", + "id": "2811febc", "metadata": {}, "source": [ - "#### Certificate overview" + "### Certificate overview" ] }, { "cell_type": "code", - "execution_count": 177, - "id": "c9ae2ff9", + "execution_count": null, + "id": "b7d0937d", "metadata": {}, "outputs": [], "source": [ - "cert_id: int = 451233 # Enter the certificate ID you are interested in" + "CHOSEN_CERT_COLOR: str = \"\"" ] }, { "cell_type": "code", - "execution_count": 176, - "id": "817d1b0d", + "execution_count": 68, + "id": "d0c1e3fe", "metadata": {}, + "outputs": [], + "source": [ + "cert_id: int = 4512 # Enter the certificate ID you are interested in" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "id": "a6f97708", + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "<Figure size 640x480 with 1 Axes>" ] @@ -1591,39 +1604,117 @@ } ], "source": [ + "# TODO - Move colours to constants\n", "refs_df: DataFrame = df[df[\"module_directly_referencing\"].notna()]\n", - " \n", + "\n", "if not refs_df[refs_df[\"cert_id\"] == cert_id].shape[0]:\n", " print(\"Cert ID is not in the dataset, or does not references any other certificates\")\n", + " sys.exit()\n", "\n", - "cert_id_series = refs_df[refs_df[\"cert_id\"] == cert_id].iloc[0]\n", - "\n", - "graph = nx.DiGraph()\n", + "cert_id_series: Series = refs_df[refs_df[\"cert_id\"] == cert_id].iloc[0]\n", + "cert_dgst: str = refs_df[refs_df[\"cert_id\"] == cert_id].index[0]\n", + "color_map: list[str] = [\"lightgreen\"]\n", + "graph: nx.DiGraph = nx.DiGraph()\n", "graph.add_node(cert_id)\n", "\n", "# Display which certificates are directly referenced by the chosen certificate\n", "for referenced_cert_id in cert_id_series[\"module_directly_referencing\"]:\n", " graph.add_node(referenced_cert_id)\n", " graph.add_edge(cert_id, referenced_cert_id)\n", + " color_map.append(\"lightblue\")\n", "\n", "\n", "# Display which certificates are directly referencing the chosen certificate\n", "for referencing_cert_id in cert_id_series[\"module_directly_referenced_by\"]:\n", " graph.add_node(referencing_cert_id)\n", " graph.add_edge(referencing_cert_id, cert_id)\n", + " color_map.append(\"red\")\n", "\n", "\n", "pos = nx.circular_layout(graph)\n", - "nx.draw(graph, pos, arrows=True, with_labels=True, node_size=900)" + "nx.draw(graph, pos, arrows=True, node_color=color_map, with_labels=True, node_size=900)" ] }, { "cell_type": "code", - "execution_count": null, - "id": "2775b35c", + "execution_count": 91, + "id": "ff793183", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Certificate with id 4512:\n", + " - references {'4348', '4339', '4457'}\n", + " - is referenced by {'4537', '4538', '4536'}\n", + " - its page is at https://seccerts.org/fips/033581b0970477af/\n" + ] + } + ], + "source": [ + "print(f\"Certificate with id {cert_id}:\")\n", + "print(f\" - references {cert_id_series['module_directly_referencing']}\")\n", + "print(f\" - is referenced by {cert_id_series['module_directly_referenced_by']}\")\n", + "print(f\" - its page is at https://seccerts.org/fips/{cert_dgst}/\")" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "a9928757", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "cert_id 4512\n", + "name Secure Kernel Code Integrity\n", + "status active\n", + "standard FIPS 140-2\n", + "type Software\n", + "level 1.0\n", + "embodiment Multi-Chip Stand Alone\n", + "date_validation 2023-05-05 00:00:00\n", + "date_sunset 2026-09-21 00:00:00\n", + "algorithms {AES#C785, AES#C1897, RSA#C1947, RSA#C795, RSA...\n", + "extracted_versions {-}\n", + "cpe_matches NaN\n", + "verified_cpe_matches NaN\n", + "related_cves NaN\n", + "module_directly_referenced_by {4537, 4538, 4536}\n", + "module_indirectly_referenced_by {4537, 4538, 4536}\n", + "module_directly_referencing {4348, 4339, 4457}\n", + "module_indirectly_referencing {4348, 3923, 4339, 4457}\n", + "policy_directly_referenced_by {4537, 4538, 4536}\n", + "policy_indirectly_referenced_by {4537, 4538, 4536}\n", + "policy_directly_referencing {4348, 4339, 4457}\n", + "policy_indirectly_referencing {4348, 3923, 4339, 4457}\n", + "year_from 2023\n", + "Name: 033581b0970477af, dtype: object" + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cert_id_series" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "f53293d8", "metadata": {}, "outputs": [], - "source": [] + "source": [ + "# TODO - Create graph of complete dataset (=only referencing & referenced) with potential export\n", + "# Colour could represent vulnerable certificates, active/archived etc" + ] } ], "metadata": { |