tutorials-and-examples/feature-tutorials/MPSettingsEditor.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
    "source": [
      "# MSTICPy Settings \n",
      "\n",
      "This notebook takes you through setting up your MSTICPy configuration\n",
      "for the first time. Some sections are specific to using MSTICPy\n",
      "with Microsoft Sentinel.\n",
      "\n",
      "You must have msticpy installed to run this notebook:\n",
      "```\n",
      "%pip install --upgrade msticpy\n",
      "```\n",
      "\n",
      "MSTICpy versions >= 1.0.0"
    ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from msticpy.config import MpConfigFile, MpConfigEdit, MpConfigControls\n",
    "from msticpy.nbtools import nbwidgets\n",
    "from msticpy.common import utility as utils"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Checking your settings\n",
    "You can use MpConfigFile from the command line or as an interactive UI to do this.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "815243e08d1c4aa881b07de4447b5cba",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(Textarea(value=\"{'AzureSentinel': {'Workspaces': {'ASIHuntOMSWorkspaceV4': {'TenantId': '72f988…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpconfig = MpConfigFile()\n",
    "mpconfig.load_default()\n",
    "mpconfig.view_settings()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## If you see nothing ...\n",
    "...but a pair of curly braces in the settings view above it means\n",
    "that you should set up a **msticpyconfig.yaml**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## If you know that you have configured a msticpyconfig file\n",
    "\n",
    "You can search for this file using MpConfigFile. Click on **Load file**.\n",
    "\n",
    "Once you've done that go to the [Setting the path to your msticpyconfig.yaml](#Setting-the-path-to-your-msticpyconfig.yaml)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
    "source": [
      "# Import your Config.json and create a msticpyconfig.yaml [Microsoft Sentinel]\n",
      "\n",
      "Follow these steps:\n",
      "1. Run MpConfigFile\n",
      "2. Locate your config.json\n",
      "   - click **Load file** button\n",
      "   - Browse - use the controls to navigate to find config.json\n",
      "   - Search - set the starting directory to search and open the **Search** drop-down\n",
      "   - When you see the file click on it and click **Select File** button (below the file browser)\n",
      "   - optionally, click **View Settings** to confirm that this looks right\n",
      "3. Convert to convert to msticpyconfig format\n",
      "   - click **View Settings**\n",
      "4. Save the file\n",
      "   - type a path into the **Current file** text box\n",
      "   - Click on **Save file**\n",
      "5. You can set this file to always load by assigning the path to an environment variable.\n",
      "   See [Setting the path to your msticpyconfig.yaml](#Setting-the-path-to-your-msticpyconfig.yaml)"
    ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mpconfig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### This is the equivalent from the command line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'AzureSentinel': {'Workspaces': {'ASIHuntOMSWorkspaceV4': {'ResourceGroup': 'ASIHuntOMSWorkspaceRG',\n",
       "    'SubscriptionId': '40dcc8bf-0478-4f3b-b275-ed0a94f2c013',\n",
       "    'TenantId': '72f988bf-86f1-41af-91ab-2d7cd011db47',\n",
       "    'WorkspaceId': '52b1ab41-869e-4138-9e40-2a4457f09bf0'}}}}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mpconfig = MpConfigFile()\n",
    "mpconfig.load_from_file(\"E:\\\\src\\\\asi-jupyter\\\\notebooks\\\\config.json\")\n",
    "mpconfig.map_json_to_mp_ws()\n",
    "mpconfig.settings\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
    "source": [
      "# Edit your msticpyconfig settings\n",
      "\n",
      "## Microsoft Sentinel Workspaces\n",
      "\n",
      "If you loaded a config.json file you should see your workspace displayed. If not,\n",
      "you can add one or more workspaces here. The Name, WorkspaceId and TenantId are\n",
      "mandatory. The other fields are helpful but not essential.\n",
      "\n",
      "Use the Help drop-down panel to find more information about adding workspaces and finding\n",
      "the correct values for your workspace.\n",
      "\n",
      "If this the workspace that you use frequently or all of the time, you may want to set this as the default.\n",
      "This creates a duplicate entry named \"Default\" and this is used when you connect to AzureSentinel as\n",
      "the default workspace to connect to (you can override this by specifying a workspace name at connect time).\n",
      "\n",
      "When you've finished, type a file name (usually \"msticpyconfig.yaml\") into the **Conf File** text box\n",
      "and click **Save File**,\n",
      "\n",
      "You can also try the **Validate Settings** button. This should show that you have a few missing\n",
      "sections (we'll fill these in later) but should show nothing under the the \"Type Validation Results\"."
    ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AuthKey\n",
      "AuthKey\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "33066883d4cf4568b9a94f08b4a4d404",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
        "VBox(children=(Tab(children=(VBox(children=(Label(value='Microsoft Sentinel workspace settings'), HBox(children=(V…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpedit = MpConfigEdit(settings=mpconfig)\n",
    "mpedit"
   ]
  },
  {
   "attachments": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Setting the path to your msticpyconfig.yaml\n",
    "\n",
    "This is a good point to set up an environment variable so that\n",
    "you can keep a single configuration file in a known location and always\n",
    "load the same settings. (Of course, you're free to use multiple configs\n",
    "if you need to use different settings for each notebook folder)\n",
    "\n",
    "- decide on a location for your `msticpyconfig.yaml` - this could be in \"~/.msticpyconfig.yaml\" or \"%userprofile%/msticpyconfig.yaml\"\n",
    "- copy the `msticpyconfig.yaml` file that you just created to this location.\n",
    "- set the `MSTICPYCONFIG` environment variable to point to that location:\n",
    "\n",
    "## Windows\n",
    "Open **Settings** and navigate to **System**->**About** and click on **Advanced System Settings**\n",
    "![image.png](attachment:ad05bde6-0765-44de-83f8-d7d6e38030f6.png)\n",
    "\n",
    "## Linux\n",
    "In your .bashrc (or somewhere else convenient) add:\n",
    "\n",
    "`export MSTICPYCONFIG=~/.msticpyconfig.yaml`\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test auto-loading your msticpyconfig.yaml\n",
    "\n",
    "- In the cell below replace the \"./msticpyconfig2.yaml\" with the filename\n",
    "  from the previous step\n",
    "- Run the cell (Ctrl-Enter or Shift-Enter)\n",
    "\n",
    "You should see the settings editor loaded with the settings you created earlier\n",
    "\n",
    "> **Note** the environment variable set here is not persistent<br>\n",
    "> To make this persistent you need to add it to a startup file like\n",
    "> .bashrc or your Windows registry."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%env MSTICPYCONFIG=./msticpyconfig2.yaml\n",
    "mpedit = MpConfigEdit()\n",
    "mpedit"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# More Settings\n",
    "## Adding Threat Intel (TI) Providers\n",
    "\n",
    "You will likely want to do lookups of IP Addresses, URLs and other items to check for any Threat Intelligence reports.\n",
    "To do that you need to add the providers that you want to use. Most TI providers require that you\n",
    "have an account with them and supply an API key or other authentication items when you connect.\n",
    "\n",
    "Most providers have a free use tier (or in cases like AlienVault OTX) are entirely free.\n",
    "Free tiers for paid providers usually impose a certain number of requests that you\n",
    "can make in a given time period.\n",
    "\n",
    "For account creation, each provider does this slightly differently.\n",
    "Use the help links in the editor help to find where to go set each of these up.\n",
    "\n",
    "Assuming that you have done this, we can configure a provider. Be sure to\n",
    "store any authentication keys somewhere safe (and memorable).\n",
    "\n",
    "We are going to use [VirusTotal](https://www.virustotal.com) (VT) as an example TI Provider.\n",
    "For this you will need a VirusTotal API key from the \n",
    "[VirusTotal](https://developers.virustotal.com/v3.0/reference#getting-started) website.<br>\n",
    "We also support a range of other threat intelligence providers - you can read about this here [MSTICPy TIProviders](https://msticpy.readthedocs.io/en/latest/data_acquisition/TIProviders.html)\n",
    "<br><br>\n",
    "Taking VirusTotal as our example.\n",
    "- Click on the **TI Providers** tab\n",
    "- Select \"VirusTotal\" from the **New prov** drop-down list\n",
    "- Click **Add**\n",
    "\n",
    "This should show you the values that you need to provide:\n",
    "- a single item **AuthKey** (this is usually referred to as an \"API Key\"\n",
    "\n",
    "You can paste the key into the **Value** field and click the **Save** button.\n",
    "\n",
    "You can opt to store the VT AuthKey as an environment variable. This is a bit more secure than \n",
    "having it laying around in configuration files.\n",
    "Assuming that you have set you VT key as an environment variable\n",
    "```bash\n",
    "set VT_KEY=VGhpcyBzaG91bGQgc2hvdyB5b3UgdGhlIHZhbHVlcyB  (Windows)\n",
    "export VT_KEY=VGhpcyBzaG91bGQgc2hvdyB5b3UgdGhlIHZhbHVlcyB  (Linux/MAC)\n",
    "```\n",
    "Flip the **Storage** radio button to **EnvironmentVar** and type the name of the\n",
    "variable (`VT_KEY` in our example) into the value box.\n",
    "\n",
    "You can also use Azure Key Vault to store secrets like these but we will need to \n",
    "set up the Key Vault settings before this will work.\n",
    "\n",
    "Click the **Save File** button to save your changes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mpedit.set_tab(\"TI Providers\")\n",
    "mpedit"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test that it works\n",
    "\n",
    "This assumes that you have set an enviroment variable pointed at your msticpyconfig.yaml.\n",
    "Use the MpConfigFile tool to force MSTICPy to reload settings from the disk."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mpconfig.refresh_mp_config()\n",
    "\n",
    "# import the TI module\n",
    "from msticpy.sectools import TILookup\n",
    "result = TILookup().lookup_ioc('ed01ebfbc9eb5bbea545af4d01bf5f1071661840480439c6e5babe8e080e41aa')\n",
    "TILookup.result_to_df(result)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding GeoIP Providers\n",
    "\n",
    "MSTICPy supports two Geo IP providers - Maxmind GeoIPLite and IP Stack.\n",
    "The main difference between the two is that Maxmind downloads and uses a local\n",
    "database, while IPStack is a purely online solution.\n",
    "\n",
    "For either you need API keys to either download the free database from MaxMind\n",
    "or access the IPStack online lookup\n",
    "\n",
    "We'll use GeoIPLite as our example.\n",
    "You can sign up for a free account and API key at https://www.maxmind.com/en/geolite2/signup.\n",
    "You'll need the API for the following steps.\n",
    "- Select \"GeoIPLite\" from the **New Prov**\n",
    "- Click **Add**\n",
    "- Paste your Maxmind key into the **Value** field\n",
    "\n",
    "Set the maxmind data folder:\n",
    "- This defaults to \"~/.msticpy\"\n",
    "  - On Windows this translates to the foldername `%USERPROFILE%/.msticpy`.\n",
    "  - On Linux/Mac this translates to the folder `.msticpy` in your home folder.\n",
    "- This is where the downloaded GeopIP database will be stored.\n",
    "- Choose another folder name and location if you prefer.\n",
    "\n",
    "> **Note**: as with the TI providers you can opt to store your key\n",
    "> as an environment variable or keep it in Key Vault.\n"
   ]
  },
  {
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   "execution_count": null,
   "metadata": {
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   "outputs": [],
   "source": [
    "mpedit.set_tab(\"GeoIP Providers\")\n",
    "mpedit"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test that it works"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mpconfig.refresh_mp_config()\n",
    "\n",
    "from msticpy.sectools import IPStackLookup\n",
    "geoip = IPStackLookup()\n",
    "geoip.lookup_ip(\"52.96.165.18\")[1][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mpconfig.refresh_mp_config()\n",
    "\n",
    "from msticpy.sectools import GeoLiteLookup\n",
    "geoip = GeoLiteLookup()\n",
    "geoip.lookup_ip(\"52.96.165.18\")[1][0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
    "source": [
      "# Optional Settings\n",
      "## Other data providers - Splunk, Azure CLI, LocalData, Mordor\n",
      "\n",
      "### Azure API and Microsoft Sentinel API\n",
      "To access Azure APIs (such as the Sentinel APIs or Azure resource APIs) \n",
      "you need to be able to use Azure Authentication.\n",
      "The setting is named \"AzureCLI\" for historical reasons - don't let that confuse you.\n",
      "We currently support two ways of authenticating:\n",
      "1.  Chained chained authentication (recommended)\n",
      "2.  With a client app ID and secret\n",
      "\n",
      "The former can try up to four methods of authentication:\n",
      "- Using creds set in environment variables\n",
      "- Using creds available in an AzureCLI logon\n",
      "- Using the Managed Service Identity (MSI) credentials of the machine you are\n",
      "  running the notebook kernel on\n",
      "- Interactive browser logon\n",
      "\n",
      "To use chained authentication methods select the methods to want to use and leave\n",
      "the clientId/tenantiId/clientSecret fields empty.\n",
      "\n",
      "### Splunk\n",
      "The Splunk provider has many options. Typically you need only:\n",
      "- host (your Splunk server host name)\n",
      "- username\n",
      "- password\n",
      "(You can also supply some or all of these values at startup)\n",
      "\n",
      "## LocalData\n",
      "This is a data provider that reads from local CSVs or Pickled pandas DataFrames\n",
      "\n",
      "You can set the default data paths that it looks in for data files. This can\n",
      "have multiple values - put each on a new line.\n",
      "\n",
      "## Mordor\n",
      "The mordor provider has two options:\n",
      "- The path to save temporary downloaded files (default is the current directory)\n",
      "- Whether to cache files or delete them immediately after download."
    ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mpedit.set_tab(\"Data Providers\")\n",
    "mpedit"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Key Vault\n",
    "\n",
    "You only need this if you want to store secrets in Azure Key Vault.\n",
    "\n",
    "You need to create the Key Vault first - do that at your Azure portal.\n",
    "Here is the link for the \n",
    "[global KeyVault management portal](https://ms.portal.azure.com/#blade/HubsExtension/BrowseResource/resourceType/Microsoft.KeyVault%2Fvaults)\n",
    "\n",
    "The required settings are all values that you get from the Vault properties (albeit a couple\n",
    "of them have different names)\n",
    "- **VaultName** is show at the top left of the properties screen\n",
    "- **TenantId** is shown as *Directory ID*\n",
    "- **AzureRegion** is shown as *Location*\n",
    "- **Authority** is the cloud for your Azure service.\n",
    "\n",
    "> **Note**: cCurrently we've only implemented and tested \"global\" fully but if<br>\n",
    "> you are using a regional or national cloud and this isn't working please<br>\n",
    "> let us know [msticpy@microsoft.com](mailto:msticpy@microsoft.com) and\n",
    "> we'll get it fixed.\n",
    "  \n",
    "Click **Save** and then **Save File** when you are done."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mpedit.set_tab(\"Key Vault\")\n",
    "mpedit"
   ]
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test Key Vault\n",
    "\n",
    "See if you can connect and view any secrets. Of course nothing will show\n",
    "up if you haven't entered a secret. Add a test secret to the vault to show\n",
    "here.\n",
    "\n",
    "- Refresh settings\n",
    "- Try to connect and display secrets\n",
    "\n",
    "> **WARNING** ***don't leave this output in your saved notebook.***<br>\n",
    "> If there are real secrets in the output, use the notebook **Clear output** before saving the notebook.<br>\n",
    "> Also delete cached copies of this notebook.\n",
    "> Look in the `.ipynb_checkpoints` sub-folder of this folder and delete copies of this notebook."
   ]
  },
  {
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   "execution_count": null,
   "metadata": {},
   "outputs": [],
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   ]
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   "metadata": {},
    "source": [
      "## Autoload QueryProvs\n",
      "\n",
      "This section controls which, if any query providers you want to load automatically\n",
      "when you run `nbinit.init_notebook`.\n",
      "\n",
      "This can save a lot of time if you are frequently authoring new notebooks. It also\n",
      "allows the right providers to be loaded before other components that might use them such as\n",
      "- Pivot functions\n",
      "- Notebooklets\n",
      "(more about these in the next section)\n",
      "\n",
      "There are two types of provider support:\n",
      "- Microsoft Sentinel - here you specify both the provider name and the workspace name that you want to connect to.\n",
      "- Other providers - for other query providers, just specify the name of the provider.\n",
      "\n",
      "Available Microsoft Sentinel workspaces are taken from the items you configured in the **Microsoft Sentinel** tab.\n",
      "Other providers are taken from the list of available provider types in *MSTICPy*.\n",
      "\n",
      "There are two options for each of these:\n",
      "- **connect** - if this is True (checked) *MSTICPy* will try to authenticate to the\n",
      "  provider backend immediately after loading. This assumes that you've configured\n",
      "  credentials for the provider in your settings.\n",
      "  Note: if this is not set it defaults to True.\n",
      "- **alias** - when MSTICPy loads a provider it assigns it to a Python variable name.\n",
      "  By default this is \"qry_*workspace_name*\" for Microsoft Sentinel providers and\n",
      "  \"qry_*provider_name*\" for other providers. If you want to use something a bit shorter\n",
      "  and easier to type/remember you can add a *alias*. The variable name created\n",
      "  will be \"qry_*alias*\"\n",
      "  \n",
      "> **Note** if you lose track of which providers have been loaded by\n",
      "> this mechanism they are added to the `current_providers` attribute of\n",
      "> `msticpy`\n",
      "```python\n",
      "   import msticpy\n",
      "   msticpy.current_providers\n",
      "```"
    ]
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    "source": [
      "## Autoload Component\n",
      "This section controls which, if other components you want to load automatically\n",
      "when you run `nbinit.init_notebook()`.\n",
      "\n",
      "This includes\n",
      "- TILookup - the Threat Intel provider library\n",
      "- GeopIP - the Geo ip provider that you want to use\n",
      "- AzureData - the module used to query details about Azure resources\n",
      "- AzureSentinelAPI - the module used to query the Microsoft Sentinel API\n",
      "- Notebooklets - loads notebooklets from the [msticnb package](https://msticnb.readthedocs.io/en/latest/)\n",
      "- Pivot - pivot functions\n",
      "\n",
      "These are loaded in this order, since the Pivot component needs query and other providers\n",
      "loaded in order to find the pivot functions that it will attach to entities.\n",
      "For more information see [pivot functions](https://msticpy.readthedocs.io/en/latest/data_analysis/PivotFunctions.html)\n",
      "\n",
      "Some components do not require any parameters (e.g. TILookup and Pivot). Others do support or require additional\n",
      "settings:\n",
      "\n",
      "**GeoIpLookup**\n",
      "\n",
      "You must type the name of the GeoIP provider that you want to use - either \"GeoLiteLookup\" or \"IPStack\"\n",
      "\n",
      "**AzureData** and **AzureSentinelAPI**\n",
      "- **auth_methods** - override the default settings for AzureCLI and connect using the selected methods\n",
      "- **connnect** - set to false to load but not connect\n",
      "\n",
      "**Notebooklets**\n",
      "\n",
      "This has a single parameter block **AzureSentinel**. At minumum you\n",
      "should specify the workspace name. This needs to be in the following\n",
      "format:\n",
      "```\n",
      "    workspace:WORKSPACENAME\n",
      "```\n",
      "WORKSPACENAME must be one of the workspaces defined in the Microsoft Sentinel tab.\n",
      "\n",
      "You can also add addition parameters to send to the notebooklets init function:\n",
      "Specify these as addition key:value pairs, separated by newlines.\n",
      "```\n",
      "    workspace:WORKSPACENAME\n",
      "    providers=[\"LocalData\",\"geolitelookup\"]\n",
      "```\n",
      "See the \n",
      "[msticnb `init` documentation](https://msticnb.readthedocs.io/en/latest/msticnb.html#msticnb.data_providers.init)\n",
      "for more details\n"
    ]
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   "source": [
    "# Using `MpConfigFile` to check and manage your msticpyconfig.yaml\n",
    "\n",
    "This tool lets you:\n",
    "- Load your default settings (pointed to by the MSTICPYCONFIG environment variable)\n",
    "  - `mpconfig.load_default()` method or just create `mpconfig = MpConfigFile()` with no parameters\n",
    "- Load a different settings file - `mpconfig.load_from_file(file_path)`\n",
    "- Save the loaded config to a different file name - `mpconfig.save_to_file(file_path)`\n",
    "- Validate the settings in the loaded file - `mpconfig.validate_settings()`\n",
    "- Browse/Search for a file - `mpconfig.browse_for_file()`\n",
    "- View the text of the settings file - `mpconfig.view_settings()`\n",
    "\n",
    "There are also a couple of utility methods:\n",
    "- `mpconfig.show_kv_secrets()` - to view secrets in your Key Vault (more on this below)\n",
    "- `mpconfig.map_json_to_mp_ws()` - you can load an AzureSentinel `config.json` file and map\n",
    "  its settings into a format compatible with `msticpyconfig.yaml`\n",
    "- `mpconfig.refresh_mp_config()` - reloads the settings for MSTICPy based on the saved default\n",
    "  config file (this is either the file pointed to by MSTICPYCONFIG env variable or \n",
    "  a file \"msticpyconfig.yaml\" in the current directory.\n",
    "  \n",
    "You can get more information on these methods by entering:\n",
    "```\n",
    "help(MpConfigFile)\n",
    "```"
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       "value": "\nSelect a provider to edit its settings.<br>\nTo add a new provider, select the name from the \"Add prov\" drop-down and click \"Add\"<br>\n\nThe Storage option tells the settings module to look for the\nvalue in one of three places:\n<ul>\n    <li>Text - this is the usual way to store values that are not sensitive</li>\n    <li>Environment Var - Type the name of variable in the text box</li>\n    <li>Key Vault - use this for sensitive data like passwords and API keys<br>\n    The KeyVault value here can be left empty (the secret name is generated\n    from the settings path), can contain a secret name or can contain a\n    path {vaultname}/{secretname}\n    </li>\n</ul>\n\n<b>Note:</b> Storing values in KeyVault requires some work on your part<br>\nYou must do the following:\n<ol>\n    <li>Create the Key Vault</li>\n    <li>Add the settings for the Vault in the KeyVault section of the configuration</li>\n    <li>Add the values that you want to use to the Vault</li>\n</ol>\nThe Key Vault Configuration link below describes this setup and how you can\nconfigure your Key Vault settings and transfer secrets settings from your\nconfiguration file to a vault.\n<br><a href='https://msticpy.readthedocs.io/en/latest/data_acquisition/TIProviders.html#configuration-file' target='_blank' style='color: blue; text-decoration: underline;'>Online: Threat Intel Providers</a><br><a href='https://msticpy.readthedocs.io/en/latest/getting_started/msticpyconfig.html#specifying-secrets-as-key-vault-secrets' target='_blank' style='color: blue; text-decoration: underline;'>Online: Key Vault Configuration</a><br><a href='https://msticpy.readthedocs.io/en/latest/getting_started/msticpyconfig.html' target='_blank' style='color: blue; text-decoration: underline;'>Online: MSTICPy Configuration</a><br><a href='https://msticpy.readthedocs.io/en/latest/getting_started/SettingsEditor.html#adding-threat-intelligence-ti-providers' target='_blank' style='color: blue; text-decoration: underline;'>Online: Help on this tab</a>"
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