Add observations through the REST API

1. In a browser, navigate to the REST API Explorer.
   The URL is the hostname or IP address of your sensor, followed by /api/v1/explore/. For example, if your hostname is seattle-eda, the URL is https://seattle-eda/api/v1/explore/.
2. Click Enter API Key and then paste or type your API key into the API Key field.
3. Click Authorize and then click Close.
4. Click Observations and then click POST ​/observations​/associatedipaddrs.
5. Click Try it out.
   The JSON schema is automatically added to the body parameter text box.
6. In the body text box, specify the observations you want to add.
   For example, the following fields associate 10.8.0.0 with 108.162.0.0:

   {
       "observations": [
           {
               "associated_ipaddr": "108.162.0.0",
               "ipaddr": "10.8.0.0",
               "timestamp": 1257935231
           }
       ],
       "source": "OpenVPN"
   }

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7. Click Send Request.

The ExtraHop GitHub repository contains an example Python script that creates associations on the ExtraHop system based on a CSV log file from OpenVPN. You can configure the script to read other CSV files by modifying the IPADDR, ASSOCIATED_IPADDR, and TIMESTAMP variables, which specify the names of the CSV columns that the script reads.

1. Go to the ExtraHop code-examples GitHub repository and download the add_observations/add_observations.py file to your local machine.
2. In a text editor, open the add_observations.py file and replace the following configuration variables with information from your environment:

   HOST: The IP address or hostname of the sensor.

   API_KEY: The API key.

   CSV_FILE: The name of the CSV log file.

   SOURCE: The source of the observations.

   IPADDR: The name of the column in the CSV file that specifies the IP addresses of the VPN clients on your internal network.

   ASSOCIATED_IPADDR: The name of the column in the CSV file that specifies the external IP addresses assigned to the users on the public internet.

   TIMESTAMP: The name of the column in the CSV file that specifies the time that the observation was created by the source. By default, the timestamp must be in the format: Month/Day/Year Hour:Minute:Second. However, you can change the format by modifying the pattern variable in the translateTime() function.

   Tip:	If the log file distributes timestamp values over multiple columns, you can modify the timestamp field in the readCSV() function to concatenate the values. For example, assume that the first four columns of the CSV file are organized as shown in the following table:

   Month	Day	Year	Time
   01	01	01	10:10:10

   The following code reads those first four columns into the default translateTime() function:

   'timestamp': translateTime(row[0] + '/' + row[1] + '/' + row[2] + ' ' + row[3])

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3. Run the following command:

   python3 add_observations.py

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   Note:

   If the script returns an error message that the SSL certificate verification failed, make sure that a trusted certificate has been added to your sensor or console. Alternatively, you can add the verify=False option to bypass certificate verification. However, this method is not secure and not recommended. The following code sends an HTTP GET request without certificate verification: requests.get(url, headers=headers, verify=False) Copy