diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index 038c9eeb..6de98b07 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -48,4 +48,4 @@ jobs: zip -r docs.zip * - name: Push docs to website run: | - curl -F data=@docs/docs.zip https://seccerts.org/docs/upload?token=${{ secrets.DOCS_AUTH_TOKEN }} + curl -F data=@docs/docs.zip https://sec-certs.org/docs/upload?token=${{ secrets.DOCS_AUTH_TOKEN }} diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 68f2ec14..d0b52a4d 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -10,7 +10,7 @@ You contribution is warmly welcomed. You can help by: ## Dependencies -For complete list of system dependencies, see [docs/installation](https://seccerts.org/docs/installation.html). +For complete list of system dependencies, see [docs/installation](https://sec-certs.org/docs/installation.html). ### Requirements diff --git a/README.md b/README.md index a5a18a10..b498d1d8 100644 --- a/README.md +++ b/README.md @@ -6,8 +6,8 @@ A tool for data scraping and analysis of security certificates from Common Crite -[![Website](https://img.shields.io/website?down_color=red&down_message=offline&style=flat-square&up_color=SpringGreen&up_message=online&url=https%3A%2F%2Fseccerts.org)](https://seccerts.org) -[![Website](https://img.shields.io/website?label=docs&down_color=red&down_message=offline&style=flat-square&up_color=SpringGreen&up_message=online&url=https%3A%2F%2Fseccerts.org/docs/index.html)](https://seccerts.org/docs/index.html) +[![Website](https://img.shields.io/website?down_color=red&down_message=offline&style=flat-square&up_color=SpringGreen&up_message=online&url=https%3A%2F%2Fsec-certs.org)](https://sec-certs.org) +[![Website](https://img.shields.io/website?label=docs&down_color=red&down_message=offline&style=flat-square&up_color=SpringGreen&up_message=online&url=https%3A%2F%2Fsec-certs.org/docs/index.html)](https://sec-certs.org/docs/index.html) [![PyPI](https://img.shields.io/pypi/v/sec-certs?style=flat-square)](https://pypi.org/project/sec-certs/) [![DockerHub](https://img.shields.io/docker/v/seccerts/sec-certs/latest?label=DockerHub&style=flat-square)](https://hub.docker.com/r/seccerts/sec-certs/tags) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/sec-certs?label=Python%20versions&style=flat-square)](https://pypi.org/project/sec-certs/) @@ -16,7 +16,7 @@ A tool for data scraping and analysis of security certificates from Common Crite ## Installation -Use Docker with `docker pull seccerts/sec-certs` or just `pip install -U sec-certs && python -m spacy download en_core_web_sm`. For more elaborate description, see [docs](https://seccerts.org/docs/installation.html). +Use Docker with `docker pull seccerts/sec-certs` or just `pip install -U sec-certs && python -m spacy download en_core_web_sm`. For more elaborate description, see [docs](https://sec-certs.org/docs/installation.html). ## Usage @@ -27,7 +27,7 @@ There are two main steps in exploring the world of security certificates: For the first step, we currently provide CLI. For the second step, we provide simple API that can be used directly inside our Jupyter notebook or locally, together with a fully processed datasets that can be downloaded. -More elaborate usage is described in [docs/quickstart](https://seccerts.org/docs/quickstart.html). Also, see [example notebooks](https://github.com/crocs-muni/sec-certs/tree/main/notebooks/examples) either at GitHub or at docs. From docs, you can also run our notebooks in Binder. +More elaborate usage is described in [docs/quickstart](https://sec-certs.org/docs/quickstart.html). Also, see [example notebooks](https://github.com/crocs-muni/sec-certs/tree/main/notebooks/examples) either at GitHub or at docs. From docs, you can also run our notebooks in Binder. ## Data scraping @@ -35,7 +35,7 @@ Run `sec-certs cc all` for Common Criteria processing, `sec-certs fips all` for ## Data analysis -Most probably, you don't want to fully process the certification artifacts by yourself. Instead, you can use our results and explore them as a data structure. An example snippet follows. For more, see [example notebooks](https://github.com/crocs-muni/sec-certs/tree/main/notebooks/examples). *Tip*: these can be run with Binder from our [docs](https://seccerts.org/docs/index.html). +Most probably, you don't want to fully process the certification artifacts by yourself. Instead, you can use our results and explore them as a data structure. An example snippet follows. For more, see [example notebooks](https://github.com/crocs-muni/sec-certs/tree/main/notebooks/examples). *Tip*: these can be run with Binder from our [docs](https://sec-certs.org/docs/index.html). ```python from sec_certs.dataset import CCDataset diff --git a/docs/index.md b/docs/index.md index 44d64abe..cb204514 100644 --- a/docs/index.md +++ b/docs/index.md @@ -1,6 +1,6 @@ # Sec-certs documentation -Welcome to the technical documentation of *sec-certs* tool for the data analysis of products certified with Common Criteria or FIPS 140 frameworks. If you're looking for general description of the tool, its use cases and capabilites, we refer you to [sec-certs homepage](https://seccerts.org/). If you are looking for more advanced knowledge, e.g. how to mine your own data, how to extend the tool, and so forth, this is the right place. +Welcome to the technical documentation of *sec-certs* tool for the data analysis of products certified with Common Criteria or FIPS 140 frameworks. If you're looking for general description of the tool, its use cases and capabilites, we refer you to [sec-certs homepage](https://sec-certs.org/). If you are looking for more advanced knowledge, e.g. how to mine your own data, how to extend the tool, and so forth, this is the right place. There are three main parts of this documentation. *User's guide* describes high-level use of our tool. Driven by this knowledge, you can progress to *Notebook examples* that showcase some of the API that we use in the form of Jupyter notebooks. The documentation also contains some of the modules documented with `autodoc`, see *API reference*. Still, some dark corners of our codebase are not documented. To inspect the code directly, see the [sec_certs](https://github.com/crocs-muni/sec-certs/tree/main/src/sec_certs) module. If you want, you can run the notebooks as they are stored in the [project repository](https://github.com/crocs-muni/sec-certs/tree/main/notebooks). If you are interested in contributing to our project or in other aspects of our development, you can consult the relevant *GitHub artifacts* @@ -19,8 +19,8 @@ Each of the notebooks can be launched interactively in MyBinder by clicking on :hidden: :caption: Navigation :maxdepth: 1 -Seccerts homepage -Seccerts docs +Sec-certs homepage +Sec-certs docs GitHub repo ``` diff --git a/docs/quickstart.md b/docs/quickstart.md index f2e3690f..685423ba 100644 --- a/docs/quickstart.md +++ b/docs/quickstart.md @@ -10,7 +10,7 @@ from sec_certs.dataset.cc import CCDataset dset = CCDataset.from_web_latest() ``` -to obtain to obtain freshly processed dataset from [seccerts.org](https://seccerts.org). +to obtain to obtain freshly processed dataset from [sec-certs.org](https://sec-certs.org). 3. Play with the dataset. See [example notebook](./notebooks/examples/cc.ipynb). ::: @@ -23,7 +23,7 @@ from sec_certs.dataset.fips import FIPSDataset dset = FIPSDataset.from_web_latest() ``` -to obtain to obtain freshly processed dataset from [seccerts.org](https://seccerts.org). +to obtain to obtain freshly processed dataset from [sec-certs.org](https://sec-certs.org). 3. Play with the dataset. See [example notebook](./notebooks/examples/fips.ipynb). ::: diff --git a/docs/user_guide.md b/docs/user_guide.md index a94b60c8..8b137891 100644 --- a/docs/user_guide.md +++ b/docs/user_guide.md @@ -1,34 +1 @@ -# User's guide -```{important} -This guide is in the making. -``` - -## NVD datasets - -Our tool matches certificates to their possible CVEs using datasets downloaded from [National Vulnerability Database (NVD)](https://nvd.nist.gov). If you're fully processing the `CCDataset` or `FIPSDataset` by yourself, you must somehow obtain the NVD datasets. - -Our tool can seamlessly download the required NVD datasets when needed. We support two download mechanisms: - -1. Fetching datasets with the [NVD API](https://nvd.nist.gov/developers/start-here) (preferred way). -1. Fetching snapshots from seccerts.org. - -The following two keys control the behaviour: - -```yaml -preferred_source_nvd_datasets: "api" # set to "sec-certs" to fetch them from seccerts.org -nvd_api_key: null # or the actual key value -``` - -If you aim to fetch the sources from NVD, we advise you to get an [NVD API key](https://nvd.nist.gov/developers/request-an-api-key) and set the `nvd_api_key` setting accordingly. The download from NVD will work even without API key, it will just be slow. No API key is needed when `preferred_source_nvd_datasets: "sec-certs"` - - -## Infering inter-certificate reference context - -```{important} -This is an experimental feature. -``` - -We provide a model that can predict the context of inter-certificate references based on the text embedded in the artifacts. The model output is not incorporated into the `CCCertificate` instances, but can be dumped into a `.csv` file from where it can be correlated with a DataFrame of certificate features. - -To train and deploy the model, it should be sufficient to change some paths and run the [prediction notebook](https://github.com/crocs-muni/sec-certs/blob/main/notebooks/cc/reference_annotations/prediction.ipynb). The output of this notebook is a `prediction.csv` file that can be loaded into the [references notebook](https://github.com/crocs-muni/sec-certs/blob/main/notebooks/cc/references.ipynb). This notebook documents the full analysis of references conducted on the Common Criteria certificates. Among others, the notebook generates some further `.csv` files that can subsequently be plotted via [plotting notebook](https://github.com/crocs-muni/sec-certs/blob/main/notebooks/cc/paper2_plots.ipynb). diff --git a/notebooks/cc/paper2_plots.ipynb b/notebooks/cc/paper2_plots.ipynb index d6b17e09..b866e1dc 100644 --- a/notebooks/cc/paper2_plots.ipynb +++ b/notebooks/cc/paper2_plots.ipynb @@ -2,9 +2,18 @@ "cells": [ { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/1h/qt5h035n5rzcjdmfl295hrk80000gn/T/ipykernel_32080/1071189253.py:20: MatplotlibDeprecationWarning: Auto-close()ing of figures upon backend switching is deprecated since 3.8 and will be removed two minor releases later. To suppress this warning, explicitly call plt.close('all') first.\n", + " matplotlib.use(\"pgf\")\n" + ] + } + ], "source": [ "import warnings\n", "from pathlib import Path\n", @@ -25,14 +34,12 @@ "%matplotlib inline\n", "\n", "# LaTeX plotting\n", - "# matplotlib.use(\"pgf\")\n", - "# plt.rcParams[\"pgf.texsystem\"] = \"pdflatex\"\n", - "# plt.rcParams[\"font.family\"] = \"serif\"\n", - "# plt.rcParams[\"text.usetex\"] = True\n", - "# plt.rcParams[\"pgf.rcfonts\"] = False\n", - "\n", + "matplotlib.use(\"pgf\")\n", + "plt.rcParams[\"pgf.texsystem\"] = \"pdflatex\"\n", + "plt.rcParams[\"font.family\"] = \"serif\"\n", + "plt.rcParams[\"text.usetex\"] = True\n", + "plt.rcParams[\"pgf.rcfonts\"] = False\n", "\n", - "sns.set_theme(style=\"white\")\n", "plt.rcParams[\"axes.linewidth\"] = 0.5\n", "plt.rcParams[\"legend.fontsize\"] = 6.5\n", "plt.rcParams[\"xtick.labelsize\"] = 8\n", @@ -50,9 +57,9 @@ "plt.rcParams[\"legend.handletextpad\"] = 0.3\n", "plt.rcParams[\"lines.markersize\"] = 0.5\n", "plt.rcParams[\"savefig.pad_inches\"] = 0.01\n", - "sns.set_palette(\"deep\")\n", "\n", - "plt.style.use(\"default\")\n", + "# plt.style.use(\"default\")\n", + "# sns.set_theme(style=\"white\")\n", "sns.set_palette(\"Set2\")\n", "sns.set_context(\"paper\") # Set to \"paper\" for use in paper :)\n", "\n", @@ -91,7 +98,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -124,6 +131,7 @@ "g.figure.set_size_inches(3.9, 3)\n", "plt.tight_layout(pad=0.1)\n", "g.figure.savefig(RESULTS_DIR / \"lineplot_top_reach.pdf\")\n", + "g.figure.savefig(RESULTS_DIR / \"lineplot_top_reach.pgf\")\n", "g.figure.show()" ] }, @@ -136,9 +144,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: 'results/references/avg_refs_over_time.csv'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[3], line 5\u001b[0m\n\u001b[1;32m 3\u001b[0m plt\u001b[38;5;241m.\u001b[39mrcParams[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mytick.labelsize\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m12\u001b[39m\n\u001b[1;32m 4\u001b[0m sns\u001b[38;5;241m.\u001b[39mset_palette(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSet2\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m----> 5\u001b[0m df_to_plot \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_csv\u001b[49m\u001b[43m(\u001b[49m\u001b[43mRESULTS_DIR\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m/\u001b[39;49m\u001b[43m 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866\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 867\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 868\u001b[0m \u001b[43m \u001b[49m\u001b[43mnewline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 869\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 870\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 871\u001b[0m \u001b[38;5;66;03m# Binary mode\u001b[39;00m\n\u001b[1;32m 872\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(handle, ioargs\u001b[38;5;241m.\u001b[39mmode)\n", + "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'results/references/avg_refs_over_time.csv'" + ] + } + ], "source": [ "plt.rcParams[\"legend.fontsize\"] = 9\n", "plt.rcParams[\"xtick.labelsize\"] = 12\n", @@ -395,7 +420,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.6" + "version": "3.11.5" } }, "nbformat": 4, diff --git a/notebooks/cc/references.ipynb b/notebooks/cc/references.ipynb index cb57f537..95256f3a 100644 --- a/notebooks/cc/references.ipynb +++ b/notebooks/cc/references.ipynb @@ -2096,7 +2096,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.6" + "version": "3.11.5" }, "vscode": { "interpreter": { diff --git a/notebooks/cc/temporal_trends.ipynb b/notebooks/cc/temporal_trends.ipynb index b128fb44..6e4d77dc 100644 --- a/notebooks/cc/temporal_trends.ipynb +++ b/notebooks/cc/temporal_trends.ipynb @@ -2,38 +2,45 @@ "cells": [ { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ - "from sec_certs.dataset import CCDataset\n", - "from sec_certs.utils.extract import rules_get_subset, extract_key_paths\n", - "from sec_certs.cert_rules import cc_rules, PANDAS_KEYWORDS_CATEGORIES\n", - "import pandas as pd\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", "import math\n", - "import numpy as np\n", - "import tqdm\n", - "import matplotlib.ticker as mtick\n", "import warnings\n", "from pathlib import Path\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.ticker as mtick\n", + "import numpy as np\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import tqdm\n", "import yaml\n", "\n", - "plt.style.use(\"seaborn-whitegrid\")\n", - "sns.set_palette(\"deep\")\n", - "sns.set_context(\"notebook\") # Set to \"paper\" for use in paper :)\n", + "from sec_certs.cert_rules import PANDAS_KEYWORDS_CATEGORIES, cc_rules\n", + "from sec_certs.dataset import CCDataset\n", + "from sec_certs.utils.extract import extract_key_paths, rules_get_subset\n", "\n", - "warnings.simplefilter(action='ignore', category=pd.errors.PerformanceWarning)\n", + "sns.set_theme(style=\"white\", palette=\"deep\", context=\"notebook\")\n", + "warnings.simplefilter(action=\"ignore\", category=pd.errors.PerformanceWarning)\n", "\n", "RESULTS_DIR = Path(\"./results\")" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Downloading CC Dataset: 100%|██████████| 164M/164M [01:42<00:00, 1.68MB/s] \n" + ] + } + ], "source": [ "dset = CCDataset.from_web_latest()\n", "df = dset.to_pandas()" @@ -41,27 +48,47 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/1h/qt5h035n5rzcjdmfl295hrk80000gn/T/ipykernel_18601/3177735047.py:9: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " categories = df.loc[df.year_from < 2024].groupby([\"year_from\", \"category\"], as_index=False).size().copy()\n" + ] + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "long_categories = {'Access Control Devices and Systems': 'Access control',\n", - " 'Biometric Systems and Devices': 'Biometrics',\n", - " 'Boundary Protection Devices and Systems': 'Boundary protection',\n", - " 'ICs, Smart Cards and Smart Card-Related Devices and Systems': 'ICs, Smartcards',\n", - " 'Network and Network-Related Devices and Systems': 'Network(-related) devices',\n", + "long_categories = {\n", + " \"Access Control Devices and Systems\": \"Access control\",\n", + " \"Biometric Systems and Devices\": \"Biometrics\",\n", + " \"Boundary Protection Devices and Systems\": \"Boundary protection\",\n", + " \"ICs, Smart Cards and Smart Card-Related Devices and Systems\": \"ICs, Smartcards\",\n", + " \"Network and Network-Related Devices and Systems\": \"Network(-related) devices\",\n", "}\n", "\n", - "categories = df.loc[df.year_from < 2022].groupby([\"year_from\", \"category\"], as_index=False).size().copy()\n", + "categories = df.loc[df.year_from < 2024].groupby([\"year_from\", \"category\"], as_index=False).size().copy()\n", "categories.category = categories.category.map(lambda x: long_categories.get(x, x))\n", "\n", "with sns.plotting_context(\"notebook\", font_scale=0.75):\n", - " g = sns.FacetGrid(categories, col=\"category\", hue=\"category\", col_wrap=5, height=2, ylim=(0,150))\n", + " g = sns.FacetGrid(categories, col=\"category\", hue=\"category\", col_wrap=5, height=2, ylim=(0, 150))\n", " g.map(sns.lineplot, \"year_from\", \"size\")\n", " g.set(xlabel=\"Year of cert.\", ylabel=\"N. certs.\")\n", " g.set_titles(\"{col_name}\")\n", - " g.fig.subplots_adjust(top=0.90)\n", - " g.fig.suptitle('Category prevalence in time')\n", + " g.figure.subplots_adjust(top=0.90)\n", + " g.figure.suptitle(\"Category prevalence in time\")\n", " plt.show()" ] }, @@ -75,17 +102,43 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "N certs in popular categories: 4269 (74.87%)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/1h/qt5h035n5rzcjdmfl295hrk80000gn/T/ipykernel_18601/1885810443.py:15: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " .groupby([\"popular_categories\", \"year_from\"], as_index=False)\n" + ] + } + ], "source": [ - "popular_categories = {\"ICs, Smart Cards and Smart Card-Related Devices and Systems\", \"Multi-Function Devices\", \"Network and Network-Related Devices and Systems\", \"Other Devices and Systems\"}\n", + "popular_categories = {\n", + " \"ICs, Smart Cards and Smart Card-Related Devices and Systems\",\n", + " \"Multi-Function Devices\",\n", + " \"Network and Network-Related Devices and Systems\",\n", + " \"Other Devices and Systems\",\n", + "}\n", "df[\"popular_categories\"] = df.category.map(lambda x: x if x in popular_categories else \"One of 11 other categories\")\n", "n_certs_popular = df.loc[df.category.isin(popular_categories)].shape[0]\n", "n_certs_all = df.shape[0]\n", "print(f\"N certs in popular categories: {n_certs_popular} ({(100 * n_certs_popular / n_certs_all):.2f}%)\")\n", "\n", - "n_certs = df.astype({\"year_from\": \"category\"}).loc[df.year_from != 2022].groupby([\"popular_categories\", \"year_from\"], as_index=False).size()\n", + "n_certs = (\n", + " df.astype({\"year_from\": \"category\"})\n", + " .loc[df.year_from < 2024]\n", + " .groupby([\"popular_categories\", \"year_from\"], as_index=False)\n", + " .size()\n", + ")\n", "n_certs.to_csv(RESULTS_DIR / \"popular_categories.csv\")\n", "\n", "cats = n_certs.popular_categories.unique()\n", @@ -94,15 +147,15 @@ "\n", "palette = sns.color_palette(\"Spectral\", 5).as_hex()\n", "\n", - "plt.style.use(\"seaborn-v0_8-white\")\n", - "plt.figure(figsize=(7,4))\n", - "plt.stackplot(years, data, labels=cats, colors=palette)\n", - "plt.legend(loc='upper left')\n", - "plt.ylabel(\"Number of issued certificates\")\n", - "plt.xlabel(\"Year of certification\")\n", - "plt.xlim(1997, 2021)\n", - "plt.show()\n", - "plt.style.use(\"seaborn-whitegrid\")" + "# plt.style.use(\"seaborn-v0_8-white\")\n", + "# plt.figure(figsize=(7, 4))\n", + "# plt.stackplot(years, data, labels=cats, colors=palette)\n", + "# plt.legend(loc=\"upper left\")\n", + "# plt.ylabel(\"Number of issued certificates\")\n", + "# plt.xlabel(\"Year of certification\")\n", + "# plt.xlim(1997, 2021)\n", + "# plt.show()\n", + "# plt.style.use(\"seaborn-whitegrid\")" ] }, { @@ -121,8 +174,10 @@ "source": [ "sec_levels = df.loc[df.year_from < 2022].groupby([\"year_from\", \"eal\"], as_index=False).size()\n", "line = sns.lineplot(data=sec_levels, x=\"year_from\", y=\"size\", hue=\"eal\")\n", - "line.set(xlabel=\"Year of certification\", ylabel=\"Number of issued certificates\", title=\"Security level prevalence in time\")\n", - "line.legend(title=\"Security level\", bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)" + "line.set(\n", + " xlabel=\"Year of certification\", ylabel=\"Number of issued certificates\", title=\"Security level prevalence in time\"\n", + ")\n", + "line.legend(title=\"Security level\", bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.0)" ] }, { @@ -142,36 +197,110 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", 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Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " .groupby([\"year_from\", \"category\"])\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/1h/qt5h035n5rzcjdmfl295hrk80000gn/T/ipykernel_18601/580250858.py:67: FutureWarning: \n", + "\n", + "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", + "\n", + " line = sns.lineplot(\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "eal_to_num_mapping = {eal: index for index, eal in enumerate(df['eal'].cat.categories)}\n", + "eal_to_num_mapping = {eal: index for index, eal in enumerate(df[\"eal\"].cat.categories)}\n", "df[\"eal_number\"] = df.eal.map(eal_to_num_mapping)\n", "df.eal_number = df.eal_number.astype(\"Int64\")\n", - "avg_levels = df.loc[(df.year_from < 2022) & (df.eal_number.notnull())].copy().groupby([\"year_from\"]).agg({'year_from':'size', 'eal_number':'mean'}).rename(columns={\"year_from\": \"n_certs\"}).reset_index()\n", + "avg_levels = (\n", + " df.loc[(df.year_from < 2024) & (df.eal_number.notnull())]\n", + " .copy()\n", + " .groupby([\"year_from\"])\n", + " .agg({\"year_from\": \"size\", \"eal_number\": \"mean\"})\n", + " .rename(columns={\"year_from\": \"n_certs\"})\n", + " .reset_index()\n", + ")\n", "avg_levels.year_from = avg_levels.year_from.astype(\"float\")\n", "avg_levels.eal_number = avg_levels.eal_number.astype(\"float\")\n", "\n", "ymin = math.floor(avg_levels.eal_number.min())\n", "ymax = math.ceil(avg_levels.eal_number.max())\n", - "ylabels = [x if \"+\" in x else x + \" \" for x in list(eal_to_num_mapping.keys())[ymin:ymax+1]] # this also aligns the labels by adding phantom spaces\n", + "ylabels = [\n", + " x if \"+\" in x else x + \" \" for x in list(eal_to_num_mapping.keys())[ymin : ymax + 1]\n", + "] # this also aligns the labels by adding phantom spaces\n", "\n", "figure, axes = plt.subplots(1, 2)\n", "figure.set_size_inches(12, 4)\n", "figure.set_tight_layout(True)\n", "\n", - "line = sns.lineplot(data=avg_levels, x=\"year_from\", y=\"eal_number\", marker='o', ax=axes[0])\n", + "line = sns.lineplot(data=avg_levels, x=\"year_from\", y=\"eal_number\", marker=\"o\", ax=axes[0])\n", "line.set(xlabel=\"Year of certification\", ylabel=\"Average security level EAL1-EAL7+\", title=\"Average EAL over time\")\n", - "line.set_yticks(range(ymin, ymax+1), ylabels)\n", - "\n", - "fitted = sns.regplot(data=avg_levels, x=\"year_from\", y=\"eal_number\", scatter_kws={\"sizes\": [1.2 * x for x in list(avg_levels.n_certs)]}, line_kws={\"color\": \"red\"}, ci=None, ax=axes[1])\n", + "line.set_yticks(range(ymin, ymax + 1), ylabels)\n", + "\n", + "fitted = sns.regplot(\n", + " data=avg_levels,\n", + " x=\"year_from\",\n", + " y=\"eal_number\",\n", + " scatter_kws={\"sizes\": [1.2 * x for x in list(avg_levels.n_certs)]},\n", + " line_kws={\"color\": \"red\"},\n", + " ci=None,\n", + " ax=axes[1],\n", + ")\n", "fitted.set(xlabel=\"Year of certification\", ylabel=\"Average security level EAL1-EAL7+\", title=\"Fitted EAL over time\")\n", - "fitted.set_yticks(range(ymin, ymax+1), ylabels)\n", + "fitted.set_yticks(range(ymin, ymax + 1), ylabels)\n", "\n", "plt.show()\n", "\n", - "avg_levels = df.loc[df.eal_number.notnull()].copy().groupby([\"year_from\", \"category\"]).agg({'year_from':'size', 'eal_number':'mean'}).rename(columns={\"year_from\": \"n_certs\"}).reset_index()\n", + "avg_levels = (\n", + " df.loc[df.eal_number.notnull()]\n", + " .copy()\n", + " .groupby([\"year_from\", \"category\"])\n", + " .agg({\"year_from\": \"size\", \"eal_number\": \"mean\"})\n", + " .rename(columns={\"year_from\": \"n_certs\"})\n", + " .reset_index()\n", + ")\n", "avg_levels.year_from = avg_levels.year_from.astype(\"float\")\n", "avg_levels.eal_number = avg_levels.eal_number.astype(\"float\")\n", "avg_levels.category = avg_levels.category.map(lambda x: long_categories.get(x, x))\n", @@ -182,17 +311,29 @@ " g.set(xlabel=\"Year of cert.\", ylabel=\"Avg. EAL\")\n", " g.set_titles(\"{col_name}\")\n", " g.fig.subplots_adjust(top=0.90)\n", - " g.fig.suptitle('Average EAL between categories')\n", + " g.fig.suptitle(\"Average EAL between categories\")\n", " plt.show()\n", "\n", - "avg_levels[\"smartcard_category\"] = avg_levels.category.map(lambda x: x if x == \"ICs, Smartcards\" else \"Other 14 categories\")\n", - "line = sns.lineplot(data=avg_levels, x=\"year_from\", y=\"eal_number\", hue=\"smartcard_category\", ci=None, style=\"smartcard_category\", markers=True)\n", - "line.legend(title=\"Category\", bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + "avg_levels[\"smartcard_category\"] = avg_levels.category.map(\n", + " lambda x: x if x == \"ICs, Smartcards\" else \"Other 14 categories\"\n", + ")\n", + "line = sns.lineplot(\n", + " data=avg_levels,\n", + " x=\"year_from\",\n", + " y=\"eal_number\",\n", + " hue=\"smartcard_category\",\n", + " ci=None,\n", + " style=\"smartcard_category\",\n", + " markers=True,\n", + ")\n", + "line.legend(title=\"Category\", bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.0)\n", "line.set(xlabel=\"Year of certification\", ylabel=\"Average security level EAL1-EAL7+\", title=\"Average EAL over time\")\n", "ymin = 1\n", "ymax = 9\n", - "ylabels = [x if \"+\" in x else x + \" \" for x in list(eal_to_num_mapping.keys())[ymin:ymax+1]] # this also aligns the labels by adding phantom spaces\n", - "line.set_yticks(range(ymin, ymax+1), ylabels)\n", + "ylabels = [\n", + " x if \"+\" in x else x + \" \" for x in list(eal_to_num_mapping.keys())[ymin : ymax + 1]\n", + "] # this also aligns the labels by adding phantom spaces\n", + "line.set_yticks(range(ymin, ymax + 1), ylabels)\n", "\n", "avg_levels.to_csv(RESULTS_DIR / \"avg_eal.csv\")" ] @@ -226,14 +367,16 @@ "\n", "most_popular_sars = list(df_sar.isna().sum().sort_values().head(12).index)[2:]\n", "df_sar = df_sar.loc[:, most_popular_sars].join(df.year_from.to_frame())\n", - "melted_sars = df_sar.groupby(\"year_from\").mean().reset_index().melt(id_vars=\"year_from\", var_name=\"SAR\", value_name=\"avg_val\")\n", + "melted_sars = (\n", + " df_sar.groupby(\"year_from\").mean().reset_index().melt(id_vars=\"year_from\", var_name=\"SAR\", value_name=\"avg_val\")\n", + ")\n", "\n", "g = sns.FacetGrid(melted_sars, col=\"SAR\", hue=\"SAR\", col_wrap=5, height=2)\n", "g.map(sns.lineplot, \"year_from\", \"avg_val\")\n", "g.set(xlabel=\"Year of cert.\", ylabel=\"Avg. value\")\n", "g.set_titles(\"{col_name}\")\n", "g.fig.subplots_adjust(top=0.87)\n", - "g.fig.suptitle('Category prevalence in time')\n", + "g.fig.suptitle(\"Category prevalence in time\")\n", "plt.show()" ] }, @@ -258,25 +401,50 @@ "\n", "# Interesting filtering options: (df.not_valid_after != \"2019-09-01\"), (df.cert_link.notnull())\n", "df_validity = df.loc[(df.validity_period.notnull()) & (df.year_from < 2022)]\n", - "validity_period = df_validity.groupby(\"year_from\").agg({'year_from':'size', 'validity_period':'mean'}).rename(columns={\"year_from\": \"n_certs\"}).reset_index()\n", + "validity_period = (\n", + " df_validity.groupby(\"year_from\")\n", + " .agg({\"year_from\": \"size\", \"validity_period\": \"mean\"})\n", + " .rename(columns={\"year_from\": \"n_certs\"})\n", + " .reset_index()\n", + ")\n", "\n", "figure, axes = plt.subplots(1, 2)\n", "figure.set_size_inches(12, 4)\n", "figure.set_tight_layout(True)\n", "\n", "line = sns.lineplot(data=validity_period, x=\"year_from\", y=\"validity_period\", marker=\"o\", ax=axes[0])\n", - "line.set(xlabel=\"Year of certification\", ylabel=\"Average lifetime of certificates (in years)\", title=\"Average lifetime of certificates in years\")\n", + "line.set(\n", + " xlabel=\"Year of certification\",\n", + " ylabel=\"Average lifetime of certificates (in years)\",\n", + " title=\"Average lifetime of certificates in years\",\n", + ")\n", "\n", "box = sns.boxplot(data=df_validity, x=\"year_from\", y=\"validity_period\", ax=axes[1])\n", - "box.set(xlabel=\"Year of certification\", ylabel=\"Lifetime of certificates (in years)\", title=\"Boxplot of certificate validity periods in individual years\")\n", - "box.tick_params(axis='x', rotation=60)\n", + "box.set(\n", + " xlabel=\"Year of certification\",\n", + " ylabel=\"Lifetime of certificates (in years)\",\n", + " title=\"Boxplot of certificate validity periods in individual years\",\n", + ")\n", + "box.tick_params(axis=\"x\", rotation=60)\n", "df_validity[[\"year_from\", \"validity_period\"]].to_csv(RESULTS_DIR / \"df_validity.csv\")\n", "\n", - "strips = sns.relplot(kind=\"scatter\", data=df_validity, x=\"not_valid_before\", y=\"validity_period\", height=10, aspect=2/1, hue=\"category\")\n", - "strips.set(title=\"Scatter plot of validity period development over time\", xlabel=\"Date of certification\", ylabel=\"Validity period of certificate (in years)\")\n", - "\n", - "scatter = sns.relplot(kind=\"scatter\", data=df_validity, x=\"not_valid_before\", y=\"not_valid_after\", height=10, aspect=2/1, hue=\"category\")\n", - "scatter.set(title=\"Scatter plot of validity dates\", xlabel=\"Date of certification (not valid before)\", ylabel=\"Date of expiry (not valid after)\")" + "strips = sns.relplot(\n", + " kind=\"scatter\", data=df_validity, x=\"not_valid_before\", y=\"validity_period\", height=10, aspect=2 / 1, hue=\"category\"\n", + ")\n", + "strips.set(\n", + " title=\"Scatter plot of validity period development over time\",\n", + " xlabel=\"Date of certification\",\n", + " ylabel=\"Validity period of certificate (in years)\",\n", + ")\n", + "\n", + "scatter = sns.relplot(\n", + " kind=\"scatter\", data=df_validity, x=\"not_valid_before\", y=\"not_valid_after\", height=10, aspect=2 / 1, hue=\"category\"\n", + ")\n", + "scatter.set(\n", + " title=\"Scatter plot of validity dates\",\n", + " xlabel=\"Date of certification (not valid before)\",\n", + " ylabel=\"Date of expiry (not valid after)\",\n", + ")" ] }, { @@ -289,24 +457,61 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/1h/qt5h035n5rzcjdmfl295hrk80000gn/T/ipykernel_18601/2793798180.py:1: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " schemes = df.loc[(df.scheme.notnull()) & (df.year_from < 2024)].groupby([\"year_from\", \"scheme\"], as_index=False).size()\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/1h/qt5h035n5rzcjdmfl295hrk80000gn/T/ipykernel_18601/2793798180.py:9: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " labs = df.loc[(df.cert_lab.notnull()) & (df.year_from < 2024)].groupby([\"year_from\", \"cert_lab\"], as_index=False).size()\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "schemes = df.loc[(df.scheme.notnull()) & (df.year_from < 2022)].groupby([\"year_from\", \"scheme\"], as_index=False).size()\n", - "g = sns.FacetGrid(schemes, col=\"scheme\", hue=\"scheme\", col_wrap=6, height=2, ylim=(0,100))\n", + "schemes = df.loc[(df.scheme.notnull()) & (df.year_from < 2024)].groupby([\"year_from\", \"scheme\"], as_index=False).size()\n", + "g = sns.FacetGrid(schemes, col=\"scheme\", hue=\"scheme\", col_wrap=6, height=2, ylim=(0, 100))\n", "g.map(sns.lineplot, \"year_from\", \"size\")\n", "g.set(xlabel=\"Year of cert.\", ylabel=\"N. certs.\")\n", "g.fig.subplots_adjust(top=0.90)\n", - "g.fig.suptitle('National scheme prevalence in time')\n", + "g.fig.suptitle(\"National scheme prevalence in time\")\n", "plt.show()\n", "\n", - "labs = df.loc[(df.cert_lab.notnull()) & (df.year_from < 2022)].groupby([\"year_from\", \"cert_lab\"], as_index=False).size()\n", + "labs = df.loc[(df.cert_lab.notnull()) & (df.year_from < 2024)].groupby([\"year_from\", \"cert_lab\"], as_index=False).size()\n", "g = sns.FacetGrid(labs, col=\"cert_lab\", hue=\"cert_lab\", col_wrap=6, height=2)\n", "g.map(sns.lineplot, \"year_from\", \"size\")\n", "g.set(xlabel=\"Year of cert.\", ylabel=\"N. certs.\")\n", "g.fig.subplots_adjust(top=0.85)\n", - "g.fig.suptitle('Certification laboratories prevalence in time')\n", + "g.fig.suptitle(\"Certification laboratories prevalence in time\")\n", "plt.show()" ] }, @@ -353,10 +558,16 @@ "print(f\"\\\\newcommand{{\\\\numCCBulkArchivedTwentyNineteen}}{{${(df.not_valid_after.value_counts()['2019-09-01']):.0f}$}}\")\n", "\n", "# Number of attempts to convert documents pdf->txt\n", - "num_cc_convert_attempts = sum(bool(cert.state.st_pdf_path) for cert in dset) + sum(bool(cert.state.report_pdf_path) for cert in dset)\n", + "num_cc_convert_attempts = sum(bool(cert.state.st_pdf_path) for cert in dset) + sum(\n", + " bool(cert.state.report_pdf_path) for cert in dset\n", + ")\n", "# Number of OCR attempts\n", - "num_cc_ocr_attempted = sum(bool(cert.state.st_convert_garbage) for cert in dset) + sum(bool(cert.state.report_convert_garbage) for cert in dset)\n", - "num_cc_ocr_success = sum(bool(cert.state.st_convert_garbage and cert.state.st_convert_ok) for cert in dset) + sum(bool(cert.state.report_convert_garbage and cert.state.report_convert_ok) for cert in dset)\n", + "num_cc_ocr_attempted = sum(bool(cert.state.st_convert_garbage) for cert in dset) + sum(\n", + " bool(cert.state.report_convert_garbage) for cert in dset\n", + ")\n", + "num_cc_ocr_success = sum(bool(cert.state.st_convert_garbage and cert.state.st_convert_ok) for cert in dset) + sum(\n", + " bool(cert.state.report_convert_garbage and cert.state.report_convert_ok) for cert in dset\n", + ")\n", "\n", "print(f\"\\\\newcommand{{\\\\numCcConvertAttempts}}{{${num_cc_convert_attempts}$}}\")\n", "print(f\"\\\\newcommand{{\\\\numCcOcrAttempted}}{{${num_cc_ocr_attempted}$}}\")\n", @@ -375,16 +586,51 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/1h/qt5h035n5rzcjdmfl295hrk80000gn/T/ipykernel_18601/299983924.py:2: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " interesting_schemes.scheme = interesting_schemes.scheme.cat.remove_unused_categories()\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "interesting_schemes = schemes.loc[schemes.scheme.isin({\"NL\", \"SE\", \"NO\", \"UK\"})]\n", "interesting_schemes.scheme = interesting_schemes.scheme.cat.remove_unused_categories()\n", "interesting_schemes.to_csv(RESULTS_DIR / \"interesting_schemes.csv\")\n", "\n", - "line = sns.lineplot(data=interesting_schemes, x=\"year_from\", y=\"size\", hue=\"scheme\", style=\"scheme\", markers=True, dashes=True)\n", - "line.legend(title=\"Scheme\", bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)" + "line = sns.lineplot(\n", + " data=interesting_schemes, x=\"year_from\", y=\"size\", hue=\"scheme\", style=\"scheme\", markers=True, dashes=True\n", + ")\n", + "line.legend(title=\"Scheme\", bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.0)" ] }, { @@ -403,7 +649,11 @@ "source": [ "# TODO: Resolve duplicity in crypto_scheme mac\n", "st_keywords_df = dset.get_keywords_df(\"st_keywords\").drop(columns=[\"crypto_scheme.MAC\"])\n", - "st_keywords_df = st_keywords_df.rename(columns={x: x.split(\".\")[-1] for x in st_keywords_df.columns}).fillna(0).applymap(lambda x: x > 0)\n", + "st_keywords_df = (\n", + " st_keywords_df.rename(columns={x: x.split(\".\")[-1] for x in st_keywords_df.columns})\n", + " .fillna(0)\n", + " .applymap(lambda x: x > 0)\n", + ")\n", "\n", "df_keywords = df.loc[:, [\"category\", \"eal\", \"not_valid_before\", \"not_valid_after\", \"year_from\"]].copy()\n", "df_keywords = df_keywords.join(st_keywords_df).loc[df_keywords.year_from < 2022].copy()\n", @@ -419,16 +669,24 @@ " keywords = [x.split(\".\")[-1] for x in extract_key_paths(cc_rules_subset, examined_category)]\n", " top_n_keywords = df_keywords.loc[:, keywords].sum().sort_values(ascending=False).head(10).index\n", "\n", - " # Count number of non-zero rows for each year, weight by number of certificates issued in the given year. \n", + " # Count number of non-zero rows for each year, weight by number of certificates issued in the given year.\n", " crypto = df_keywords.groupby(\"year_from\")[top_n_keywords].sum()\n", " crypto[\"n_certs\"] = df_keywords.groupby(\"year_from\").size()\n", - " crypto.iloc[:,:-1] = crypto.iloc[:,:-1].div(crypto.n_certs, axis=0) * 100\n", - " crypto = crypto.drop(columns=[\"n_certs\"]).reset_index().melt(id_vars=\"year_from\", var_name=\"keyword\", value_name=\"percentage\") # Bring to tidy form\n", + " crypto.iloc[:, :-1] = crypto.iloc[:, :-1].div(crypto.n_certs, axis=0) * 100\n", + " crypto = (\n", + " crypto.drop(columns=[\"n_certs\"])\n", + " .reset_index()\n", + " .melt(id_vars=\"year_from\", var_name=\"keyword\", value_name=\"percentage\")\n", + " ) # Bring to tidy form\n", "\n", " line = sns.lineplot(data=crypto, x=\"year_from\", y=\"percentage\", hue=\"keyword\", ax=axes[row][col])\n", - " line.set(title=f\"Density of {examined_category} keywords over time\", xlabel=\"Year of certification\", ylabel=\"% of certs. containing keyword\")\n", + " line.set(\n", + " title=f\"Density of {examined_category} keywords over time\",\n", + " xlabel=\"Year of certification\",\n", + " ylabel=\"% of certs. containing keyword\",\n", + " )\n", " line.yaxis.set_major_formatter(mtick.PercentFormatter())\n", - " line.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + " line.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.0)\n", "\n", " if col == 2:\n", " col = 0\n", @@ -443,16 +701,31 @@ "metadata": {}, "outputs": [], "source": [ - "frac_sha2_2014 = df_keywords.loc[(df_keywords.year_from == 2014) & (df_keywords.SHA2)].shape[0] / df_keywords.loc[df_keywords.year_from == 2014].shape[0]\n", - "frac_sha2_2021 = df_keywords.loc[(df_keywords.year_from == 2021) & (df_keywords.SHA2)].shape[0] / df_keywords.loc[df_keywords.year_from == 2021].shape[0]\n", - "frac_sha1_2021 = df_keywords.loc[(df_keywords.year_from == 2021) & (df_keywords.SHA1)].shape[0] / df_keywords.loc[df_keywords.year_from == 2021].shape[0]\n", + "frac_sha2_2014 = (\n", + " df_keywords.loc[(df_keywords.year_from == 2014) & (df_keywords.SHA2)].shape[0]\n", + " / df_keywords.loc[df_keywords.year_from == 2014].shape[0]\n", + ")\n", + "frac_sha2_2021 = (\n", + " df_keywords.loc[(df_keywords.year_from == 2021) & (df_keywords.SHA2)].shape[0]\n", + " / df_keywords.loc[df_keywords.year_from == 2021].shape[0]\n", + ")\n", + "frac_sha1_2021 = (\n", + " df_keywords.loc[(df_keywords.year_from == 2021) & (df_keywords.SHA1)].shape[0]\n", + " / df_keywords.loc[df_keywords.year_from == 2021].shape[0]\n", + ")\n", "\n", "pq_keywords = [x.split(\".\")[-1] for x in extract_key_paths(rules_get_subset(\"pq_crypto\"), \"pq_crypto\")]\n", "n_positive_pq_certs = df_keywords[pq_keywords].any(axis=1).sum()\n", "\n", "ec_keywords = [x.split(\".\")[-1] for x in extract_key_paths(rules_get_subset(\"ecc_curve\"), \"ecc_curve\")]\n", - "frac_nist_2021 = df_keywords.loc[(df_keywords.year_from == 2021) & (df_keywords.NIST)].shape[0] / df_keywords.loc[(df_keywords.year_from == 2021)].shape[0] \n", - "frac_brainpool_2021 = df_keywords.loc[(df_keywords.year_from == 2021) & (df_keywords.Brainpool)].shape[0] / df_keywords.loc[(df_keywords.year_from == 2021)].shape[0] \n", + "frac_nist_2021 = (\n", + " df_keywords.loc[(df_keywords.year_from == 2021) & (df_keywords.NIST)].shape[0]\n", + " / df_keywords.loc[(df_keywords.year_from == 2021)].shape[0]\n", + ")\n", + "frac_brainpool_2021 = (\n", + " df_keywords.loc[(df_keywords.year_from == 2021) & (df_keywords.Brainpool)].shape[0]\n", + " / df_keywords.loc[(df_keywords.year_from == 2021)].shape[0]\n", + ")\n", "\n", "\n", "print(f\"\\\\newcommand{{\\\\numShaTwoFourteen}}{{${(100 * frac_sha2_2014):.0f}\\%$}}\")\n", @@ -484,7 +757,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.16" + "version": "3.11.5" }, "vscode": { "interpreter": { diff --git a/notebooks/latex_plotting.ipynb b/notebooks/latex_plotting.ipynb index f4655a5b..278f776a 100644 --- a/notebooks/latex_plotting.ipynb +++ b/notebooks/latex_plotting.ipynb @@ -11,42 +11,40 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ + "from pathlib import Path\n", + "\n", "import matplotlib\n", - "import pandas as pd\n", "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", + "import pandas as pd\n", "import scipy.stats as stats\n", + "import seaborn as sns\n", "\n", - "plt.style.use(\"seaborn-white\")\n", - "sns.set_palette(\"deep\")\n", - "sns.set_context(\"paper\")\n", - "from pathlib import Path\n", "from sec_certs.dataset import CCDataset\n", "\n", - "RESULTS_DIR = Path(\"./cc/results\")\n", + "RESULTS_DIR = Path(\"./results\")\n", "FIGURE_DIR = RESULTS_DIR / \"figures/\"\n", "\n", "if not FIGURE_DIR.exists():\n", " FIGURE_DIR.mkdir()\n", "\n", - "matplotlib.use(\"pgf\")\n", - "sns.set_theme(style='white')\n", + "# matplotlib.use(\"pgf\")\n", + "sns.set_theme(style=\"white\")\n", "plt.rcParams[\"axes.linewidth\"] = 0.5\n", "plt.rcParams[\"legend.fontsize\"] = 6.5\n", "plt.rcParams[\"xtick.labelsize\"] = 8\n", "plt.rcParams[\"ytick.labelsize\"] = 8\n", "plt.rcParams[\"ytick.left\"] = True\n", - "plt.rcParams['ytick.major.size'] = 5\n", - "plt.rcParams['ytick.major.width'] = 0.5\n", - "plt.rcParams['ytick.major.pad'] = 0\n", + "plt.rcParams[\"ytick.major.size\"] = 5\n", + "plt.rcParams[\"ytick.major.width\"] = 0.5\n", + "plt.rcParams[\"ytick.major.pad\"] = 0\n", "plt.rcParams[\"xtick.bottom\"] = True\n", - "plt.rcParams['xtick.major.size'] = 5\n", - "plt.rcParams['xtick.major.width'] = 0.5\n", - "plt.rcParams['xtick.major.pad'] = 0\n", + "plt.rcParams[\"xtick.major.size\"] = 5\n", + "plt.rcParams[\"xtick.major.width\"] = 0.5\n", + "plt.rcParams[\"xtick.major.pad\"] = 0\n", "plt.rcParams[\"pgf.texsystem\"] = \"pdflatex\"\n", "plt.rcParams[\"font.family\"] = \"serif\"\n", "plt.rcParams[\"text.usetex\"] = True\n", @@ -54,7 +52,7 @@ "plt.rcParams[\"axes.titlesize\"] = 7\n", "plt.rcParams[\"axes.labelsize\"] = 7\n", "plt.rcParams[\"legend.handletextpad\"] = 0.3\n", - "plt.rcParams['lines.markersize'] = 4\n", + "plt.rcParams[\"lines.markersize\"] = 4\n", "sns.set_palette(\"deep\")" ] }, @@ -76,7 +74,7 @@ "hist = sns.histplot(df.n_days_after_certification, kde=False)\n", "hist.set(\n", " xlim=(-2200, 4600),\n", - " ylim=(0,1800),\n", + " ylim=(0, 1800),\n", " xlabel=\"Number of days after date of certification\",\n", " ylabel=\"Frequency of CVEs\",\n", ")\n", @@ -134,14 +132,14 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Downloading CC Dataset: 100%|██████████| 135M/135M [00:48<00:00, 2.93MB/s] \n" + "Downloading CC Dataset: 100%|██████████| 164M/164M [02:07<00:00, 1.35MB/s] \n" ] } ], @@ -155,22 +153,32 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "avg_levels = pd.read_csv(RESULTS_DIR / \"avg_eal.csv\")\n", "eal_to_num_mapping = {eal: index for index, eal in enumerate(df[\"eal\"].cat.categories)}\n", - "avg_levels[\"smartcard_category\"] = avg_levels.category.map(lambda x: x if x == \"ICs, Smartcards\" else \"Other 14 categories\")\n", - "line = sns.lineplot(data=avg_levels, x=\"year_from\", y=\"eal_number\", hue=\"smartcard_category\", ci=None, style=\"smartcard_category\", markers=True)\n", - "line.set(xlabel=None, ylabel=None, title=None, xlim=(1999.6,2021.4))\n", + "avg_levels[\"smartcard_category\"] = avg_levels.category.map(\n", + " lambda x: x if x == \"ICs, Smartcards\" else \"Other 14 categories\"\n", + ")\n", + "line = sns.lineplot(\n", + " data=avg_levels,\n", + " x=\"year_from\",\n", + " y=\"eal_number\",\n", + " hue=\"smartcard_category\",\n", + " errorbar=None,\n", + " style=\"smartcard_category\",\n", + " markers=True,\n", + ")\n", + "line.set(xlabel=None, ylabel=None, title=None, xlim=(1999.6, 2023.4))\n", "ymin = 1\n", "ymax = 9\n", "ylabels = [\n", " x if \"+\" in x else x + r\"\\phantom{+}\" for x in list(eal_to_num_mapping.keys())[ymin : ymax + 1]\n", "] # this also aligns the labels by adding phantom spaces\n", "line.set_yticks(range(ymin, ymax + 1), ylabels)\n", - "line.set_xticks([1997, 2002, 2007, 2012, 2017, 2021])\n", + "line.set_xticks([1998, 2003, 2008, 2013, 2018, 2023])\n", "line.legend(title=None, labels=avg_levels.smartcard_category.unique())\n", "\n", "fig = matplotlib.pyplot.gcf()\n", @@ -183,7 +191,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -198,8 +206,8 @@ " markers=True,\n", " dashes=True,\n", ")\n", - "line.set(xlabel=None, ylabel=None, title=None, xlim=(1999.6,2021.4), ylim=(0, 60))\n", - "line.set_xticks([1997, 2002, 2007, 2012, 2017, 2021])\n", + "line.set(xlabel=None, ylabel=None, title=None, xlim=(1999.6, 2023.4), ylim=(0, 90))\n", + "line.set_xticks([1998, 2003, 2008, 2013, 2018, 2023])\n", "line.legend(title=None)\n", "fig = matplotlib.pyplot.gcf()\n", "fig.set_size_inches(figure_width, figure_height)\n", @@ -211,7 +219,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -228,14 +236,18 @@ "years = n_certs.year_from.cat.categories[:-1]\n", "data = [n_certs.loc[n_certs.popular_categories == c, \"size\"].tolist()[:-1] for c in cats]\n", "\n", - "palette = sns.color_palette(\"Spectral\", 5).as_hex()\n", - "colors = \",\".join(palette)\n", + "# palette = sns.color_palette(\"Spectral\", 5).as_hex()\n", + "# colors = \",\".join(palette)\n", "\n", - "plt.stackplot(years, data, labels=cats, colors=colors)\n", + "plt.stackplot(\n", + " years,\n", + " data,\n", + " labels=cats,\n", + ")\n", "plt.legend(loc=\"upper center\", bbox_to_anchor=(0.38, 1.02))\n", - "plt.xticks([1997, 2002, 2007, 2012, 2017, 2021])\n", - "#plt.title(\"(c) Popularity of categories\")\n", - "plt.xlim(1997, 2021)\n", + "plt.xticks([1998, 2003, 2008, 2013, 2018, 2023])\n", + "# plt.title(\"(c) Popularity of categories\")\n", + "plt.xlim(1997, 2023)\n", "\n", "fig = matplotlib.pyplot.gcf()\n", "fig.set_size_inches(figure_width, figure_height)\n", @@ -262,7 +274,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.13" + "version": "3.11.5" }, "orig_nbformat": 4, "vscode": { diff --git a/pyproject.toml b/pyproject.toml index e1d4397c..7afd794c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -93,9 +93,9 @@ ] [project.urls] - Homepage = "https://seccerts.org" + Homepage = "https://sec-certs.org" GitHub = "https://github.com/crocs-muni/sec-certs/" - Documentation = "https://seccerts.org/docs" + Documentation = "https://sec-certs.org/docs" [project.scripts] sec-certs = "sec_certs.cli:main" diff --git a/src/sec_certs/configuration.py b/src/sec_certs/configuration.py index 81fac197..906960c4 100644 --- a/src/sec_certs/configuration.py +++ b/src/sec_certs/configuration.py @@ -43,40 +43,40 @@ class Configuration(BaseSettings): 99, description="Maximum number of candidate CPE items that may be related to given certificate, >0", gt=0 ) cc_latest_snapshot: AnyHttpUrl = Field( - "https://seccerts.org/cc/dataset.json", + "https://sec-certs.org/cc/dataset.json", description="URL from where to fetch the latest snapshot of fully processed CC dataset.", ) cc_maintenances_latest_snapshot: AnyHttpUrl = Field( - "https://seccerts.org/cc/maintenance_updates.json", + "https://sec-certs.org/cc/maintenance_updates.json", description="URL from where to fetch the latest snapshot of CC maintenance updates", ) pp_latest_snapshot: AnyHttpUrl = Field( - "https://seccerts.org/static/pp.json", + "https://sec-certs.org/static/pp.json", description="URL from where to fetch the latest snapshot of the PP dataset.", ) fips_latest_snapshot: AnyHttpUrl = Field( - "https://seccerts.org/fips/dataset.json", description="URL for the latest snapshot of FIPS dataset." + "https://sec-certs.org/fips/dataset.json", description="URL for the latest snapshot of FIPS dataset." ) fips_iut_dataset: AnyHttpUrl = Field( - "https://seccerts.org/fips/iut/dataset.json", description="URL for the dataset of FIPS IUT data." + "https://sec-certs.org/fips/iut/dataset.json", description="URL for the dataset of FIPS IUT data." ) fips_iut_latest_snapshot: AnyHttpUrl = Field( - "https://seccerts.org/fips/iut/latest.json", description="URL for the latest snapshot of FIPS IUT data." + "https://sec-certs.org/fips/iut/latest.json", description="URL for the latest snapshot of FIPS IUT data." ) fips_mip_dataset: AnyHttpUrl = Field( - "https://seccerts.org/fips/mip/dataset.json", description="URL for the dataset of FIPS MIP data" + "https://sec-certs.org/fips/mip/dataset.json", description="URL for the dataset of FIPS MIP data" ) fips_mip_latest_snapshot: AnyHttpUrl = Field( - "https://seccerts.org/fips/mip/latest.json", description="URL for the latest snapshot of FIPS MIP data" + "https://sec-certs.org/fips/mip/latest.json", description="URL for the latest snapshot of FIPS MIP data" ) cpe_latest_snapshot: AnyHttpUrl = Field( - "https://seccerts.org/vuln/cpe/cpe.json.gz", description="URL for the latest snapshot of CPEDataset." + "https://sec-certs.org/vuln/cpe/cpe.json.gz", description="URL for the latest snapshot of CPEDataset." ) cve_latest_snapshot: AnyHttpUrl = Field( - "https://seccerts.org/vuln/cve/cve.json.gz", description="URL for the latest snapshot of CVEDataset." + "https://sec-certs.org/vuln/cve/cve.json.gz", description="URL for the latest snapshot of CVEDataset." ) cpe_match_latest_snapshot: AnyHttpUrl = Field( - "https://seccerts.org/vuln/cpe/cpe_match.json.gz", + "https://sec-certs.org/vuln/cpe/cpe_match.json.gz", description="URL for the latest snapshot of cpe match json.", ) fips_matching_threshold: int = Field( @@ -112,7 +112,7 @@ class Configuration(BaseSettings): nvd_api_key: Optional[str] = Field(None, description="NVD API key for access to CVEs and CPEs.") # noqa: UP007 preferred_source_nvd_datasets: Literal["sec-certs", "api"] = Field( "sec-certs", - description="If set to `sec-certs`, will fetch CPE and CVE datasets from seccerts.org." + description="If set to `sec-certs`, will fetch CPE and CVE datasets from sec-certs.org." + " If set to `api`, will fetch these resources from NVD API. It is advised to set an" + " `nvd_api_key` when setting this to `nvd`.", ) diff --git a/src/sec_certs/dataset/cc.py b/src/sec_certs/dataset/cc.py index 44c56afa..8e6ecebb 100644 --- a/src/sec_certs/dataset/cc.py +++ b/src/sec_certs/dataset/cc.py @@ -249,7 +249,7 @@ def archived_csv_tuples(self) -> list[tuple[str, Path]]: @classmethod def from_web_latest(cls) -> CCDataset: """ - Fetches the fresh snapshot of CCDataset from seccerts.org + Fetches the fresh snapshot of CCDataset from sec-certs.org """ return cls.from_web(config.cc_latest_snapshot, "Downloading CC Dataset", "cc_latest_dataset.json") diff --git a/src/sec_certs/dataset/dataset.py b/src/sec_certs/dataset/dataset.py index 71974bf0..218936c4 100644 --- a/src/sec_certs/dataset/dataset.py +++ b/src/sec_certs/dataset/dataset.py @@ -368,7 +368,7 @@ def _prepare_cpe_dataset(self, download_fresh: bool = False) -> CPEDataset: with CpeNvdDatasetBuilder(api_key=config.nvd_api_key) as builder: cpe_dataset = builder.build_dataset(cpe_dataset) else: - logger.info("Preparing CPEDataset from seccerts.org.") + logger.info("Preparing CPEDataset from sec-certs.org.") cpe_dataset = CPEDataset.from_web(self.cpe_dataset_path) cpe_dataset.to_json() @@ -393,7 +393,7 @@ def _prepare_cve_dataset(self, download_fresh: bool = False) -> CVEDataset: with CveNvdDatasetBuilder(api_key=config.nvd_api_key) as builder: cve_dataset = builder.build_dataset(cve_dataset) else: - logger.info("Preparing CVEDataset from seccerts.org") + logger.info("Preparing CVEDataset from sec-certs.org") cve_dataset = CVEDataset.from_web(self.cve_dataset_path) cve_dataset.to_json() @@ -415,7 +415,7 @@ def _prepare_cpe_match_dict(self, download_fresh: bool = False) -> dict: with CpeMatchNvdDatasetBuilder(api_key=config.nvd_api_key) as builder: cpe_match_dict = builder.build_dataset(cpe_match_dict) else: - logger.info("Preparing CPE Match feed from seccerts.org.") + logger.info("Preparing CPE Match feed from sec-certs.org.") with tempfile.TemporaryDirectory() as tmp_dir: dset_path = Path(tmp_dir) / "cpe_match_feed.json.gz" if ( diff --git a/src/sec_certs/dataset/fips_iut.py b/src/sec_certs/dataset/fips_iut.py index 0df36073..369d81bf 100644 --- a/src/sec_certs/dataset/fips_iut.py +++ b/src/sec_certs/dataset/fips_iut.py @@ -56,7 +56,7 @@ def from_dict(cls, dct: Mapping) -> IUTDataset: @classmethod def from_web_latest(cls) -> IUTDataset: """ - Get the IUTDataset from seccerts.org + Get the IUTDataset from sec-certs.org """ iut_resp = requests.get(config.fips_iut_dataset) if iut_resp.status_code != 200: diff --git a/src/sec_certs/dataset/fips_mip.py b/src/sec_certs/dataset/fips_mip.py index a1a1ab2d..934cc84d 100644 --- a/src/sec_certs/dataset/fips_mip.py +++ b/src/sec_certs/dataset/fips_mip.py @@ -58,7 +58,7 @@ def from_dict(cls, dct: Mapping) -> MIPDataset: @classmethod def from_web_latest(cls) -> MIPDataset: """ - Get the MIPDataset from seccerts.org + Get the MIPDataset from sec-certs.org """ mip_resp = requests.get(config.fips_mip_dataset) if mip_resp.status_code != 200: diff --git a/src/sec_certs/sample/cc_scheme.py b/src/sec_certs/sample/cc_scheme.py index 8d18b5d0..1af70e76 100644 --- a/src/sec_certs/sample/cc_scheme.py +++ b/src/sec_certs/sample/cc_scheme.py @@ -71,7 +71,7 @@ def _get(url: str, session, **kwargs) -> Response: conn = session if session else requests resp = conn.get( url, - headers={"User-Agent": "seccerts.org"}, + headers={"User-Agent": "sec-certs.org"}, verify=False, **kwargs, timeout=10, diff --git a/src/sec_certs/sample/fips_iut.py b/src/sec_certs/sample/fips_iut.py index 47fd8524..32c159f1 100644 --- a/src/sec_certs/sample/fips_iut.py +++ b/src/sec_certs/sample/fips_iut.py @@ -157,7 +157,7 @@ def from_web(cls) -> IUTSnapshot: @classmethod def from_web_latest(cls) -> IUTSnapshot: """ - Get a IUT snapshot from seccerts.org. + Get a IUT snapshot from sec-certs.org. """ iut_resp = requests.get(config.fips_iut_latest_snapshot) if iut_resp.status_code != 200: diff --git a/src/sec_certs/sample/fips_mip.py b/src/sec_certs/sample/fips_mip.py index 71868954..c3fb177d 100644 --- a/src/sec_certs/sample/fips_mip.py +++ b/src/sec_certs/sample/fips_mip.py @@ -260,7 +260,7 @@ def from_web(cls) -> MIPSnapshot: @classmethod def from_web_latest(cls) -> MIPSnapshot: """ - Get a MIP snapshot from seccerts.org. + Get a MIP snapshot from sec-certs.org. """ mip_resp = requests.get(config.fips_mip_latest_snapshot) if mip_resp.status_code != 200: diff --git a/tests/cc/test_cc_maintenance_updates.py b/tests/cc/test_cc_maintenance_updates.py index 4e94d980..c5054002 100644 --- a/tests/cc/test_cc_maintenance_updates.py +++ b/tests/cc/test_cc_maintenance_updates.py @@ -77,7 +77,7 @@ def test_to_pandas(mu_dset: CCDatasetMaintenanceUpdates): assert set(df.columns) == set(CCMaintenanceUpdate.pandas_columns) - {"dgst"} -@pytest.mark.skip(reason="Will work only with fresh snapshot on seccerts.org") +@pytest.mark.skip(reason="Will work only with fresh snapshot on sec-certs.org") def test_from_web(): dset = CCDatasetMaintenanceUpdates.from_web_latest() assert dset is not None