IPinfo

Overview

Panther has partnered with IPinfo, a trusted source for IP address data, to provide integrated IP related enrichment to Panther customers. The IPinfo integration is an Enrichment Provider, also known as a Panther-managed Lookup Table.

Use IPinfo enrichment data in your Panther detections to reduce false-positive alerts by:

Cross-examining the current IP geolocation details of suspicious users to discover irregularities in profile information and blocking them.
Preemptively identifying and blocking traffic from high-risk locations or networks before they make it to you.
Accurately and reliably discovering other entities related to the target that may pose a security risk.

The IPinfo data sets are available to all Panther accounts at no additional cost and are disabled by default.

How IPinfo works

Similar to GreyNoise, alert events are automatically enriched with IPinfo data within the p_enrichment field in JSON events.

IPinfo data can be accessed in detections with pre-built Python helpers (and deep_get).

IPinfo datasets are stored as Panther-managed Lookup Tables in bulk, so there is no need to make API calls to leverage this enrichment in your detection logic or alerts.

The data from IPinfo is updated once a day.

IPinfo datasets

There are three data types available from IPinfo that add contextual information about IP addresses:

How to enable IPinfo datasets

If you are using a CI/CD workflow, please see the CI/CD Users section below to learn about additional considerations.

To enable Analyst roles to view and manage IPinfo packages in the Panther Console, they will need to be assigned the View Lookups and Manage Lookups permissions.

To enable IPinfo Panther-managed Lookup Tables:

Log in to your Panther Console.
From the left sidebar menu, click Build > Packs.
- On this page, you can see built-in packs available for IPinfo.
On the right side of the IPInfo tile you wish to enable, click the toggle to enable the pack.
Click Continue in the dialog that appears.
- If you'd like to make additional changes through CI/CD with the Panther Analysis Tool (PAT), please contact your Panther representative for more information.
To verify if the IPinfo data sets are enabled, from the left sidebar menu, click Configure > Enrichment Providers.
- On this page, you can see Panther-managed enrichment sources (such as IPinfo). You can also see whether the sources are currently enabled or disabled and when a source’s data was last refreshed.
- The six IPinfo source tables are visible, as well as the time they were last refreshed. Disabled data sets will not be refreshed.
  - The ipinfo_asn ,ipinfo_location and ipinfo_privacy tables are used for real-time lookups in the detection engine.
  - The ipinfo_asn_datalake , ipinfo_location_datalake and ipinfo_privacy_datalake tables are used for querying and joining to IPinfo data in the datalake.

CI/CD users

To enable the IPinfo Enrichment Provider in the CLI workflow, see the Managing Lookup Tables and Enrichment Providers with the Panther Analysis Tool guide.

Please note the following considerations:

CI/CD users do not need to use Detection Packs to get IPinfo Tables. You can pull in the latest release of panther-analysis and use the panther_analysis_tool (PAT) to upload the IPinfo Lookup Tables.
- To enable the IPinfo Tables using the panther-analysis repo, make sure to open each corresponding YAML configuration file and set enabled: true.
It is possible for CI/CD users to enable IPinfo Lookup Tables via Detection Packs, as long as you do not customize the IPinfo tables using PAT.
- If you choose to manage IPinfo through PAT after enabling it in the Panther Console, you must first disable the Detection Packs in the Panther Console. Simultaneous use of both the Panther Console and PAT to manage GreyNoise is not supported.
For more information on how to manage IPinfo Lookup Tables, please see the IPinfo files in Panther's Github repository.

How to query IPinfo data in the data lake

There are three IPinfo tables in the data lake:

ipinfo_asn_datalake
- See IPinfo's ASN API documentation.
ipinfo_location_datalake
- See IPinfo's IP Geolocation API documentation.
ipinfo_privacy_datalake
- See IPinfo's Privacy Detection API documentation.

For each of the above tables, there is also a <table>_history table that records all changes.

Using a `joinkey`

When querying the data lake for IPinfo data, you must use a joinkey to make the queries efficient. The following user-defined functions make setting a joinkey easier:

PANTHER_LOOKUPS.PUBLIC.IPINFO_RANGE_TO_CIDR
PANTHER_LOOKUPS.PUBLIC.IPINFO_TO_INT
PANTHER_LOOKUPS.PUBLIC.IPINFO_TO_IP
- Note: IPinfo's code for TO_IP supports IPv4 only.
PANTHER_LOOKUPS.PUBLIC.IPINFO_TO_JOIN_KEY

See an example showing how to query the data lake using a joinkey below.

Examples

Example: Alert based on IPinfo location data

In this example, we create a rule that emits an alert on every login to the AWS console that is done from an unexpected country.

def rule(event):
    global ipinfo_location
    ipinfo_location = IPInfoLocation(event)
    match_field = ""
    if event.get("p_log_type") == "AWS.Cloudtrail":
        match_field = "sourceIPAddress"
    
    if event.get("eventname") == 'ConsoleLogin' and ipinfo_location.country(match_field) != "US":
        return True
    return False

Example: Query the data lake for IPinfo data using a `joinkey`

To look up the IP 71.114.47.25, you will need to specify a joinkey and range.

SELECT
   *
FROM
   panther_lookups.public.ipinfo_asn_datalake
WHERE 
   PANTHER_LOOKUPS.PUBLIC.IPINFO_TO_JOIN_KEY(joinkey) = PANTHER_LOOKUPS.PUBLIC.IPINFO_TO_JOIN_KEY('71.114.47.25')
   AND 
   PANTHER_LOOKUPS.PUBLIC.IPINFO_TO_INT('71.114.47.25') BETWEEN 
     PANTHER_LOOKUPS.PUBLIC.IPINFO_TO_INT(startip) 
       AND PANTHER_LOOKUPS.PUBLIC.IPINFO_TO_INT(endip)

To join to another table, follow the same pattern as above, but use the IP address in the log table.

SELECT
   log.*, 
   ipinfo.* EXCLUDE (p_schema_version,p_event_time, p_parse_time,p_log_type,p_row_id,p_source_id,p_source_label)
FROM
   panther_logs.public.panther_audit log 
     LEFT OUTER JOIN panther_lookups.public.ipinfo_asn_datalake ipinfo
   ON (
     PANTHER_LOOKUPS.PUBLIC.IPINFO_TO_JOIN_KEY(joinkey) = PANTHER_LOOKUPS.PUBLIC.IPINFO_TO_JOIN_KEY(log.sourceIP)
     AND 
     PANTHER_LOOKUPS.PUBLIC.IPINFO_TO_INT(log.sourceIP) BETWEEN 
       PANTHER_LOOKUPS.PUBLIC.IPINFO_TO_INT(startip) AND PANTHER_LOOKUPS.PUBLIC.IPINFO_TO_INT(endip)
   )
WHERE
   p_occurs_since('1 day', log)
LIMIT 10

IPinfo Python helper function usage and methods

Panther has integrated helper functions to streamline the use of IPInfo data in the real-time detection engine.

Creating IPinfo objects in a Python rule

There are helper functions that create objects with methods that can be called to return relevant data from the dataset.

Below is an example code snippet that shows the creation of these objects:

from panther_ipinfo_helpers import (IPInfoASN, IPInfoLocation, geoinfo_from_ip)

def rule(event):
    global ipinfo_location
    global ipinfo_asn
    ipinfo_location = IPInfoLocation(event) 
    ipinfo_asn = IPInfoASN(event)

The global keyword is only needed if you intend to use the objects outside of the function in which they are declared.

Calling methods on the IPinfo objects

The various components of the IPinfo datasets are available via methods on the _location and _asn objects. It's possible for one event that your rule is processing to have multiple fields (such as IP addresses, source, and destination IP in a network log). When calling the IPInfo objects, make sure to specify which field you are looking for.

The example below demonstrates calling all helper methods on the ipinfo_location and ipinfo_asn objects we created in the previous example, to get all the enrichment information available in the detection's rule.

    match_field = ""
    if event.get("p_log_type") == "AWS.Cloudtrail":
        match_field = "sourceIPAddress"
    
    if ipinfo_location:
        city = ipinfo_location.city(match_field)
        country = ipinfo_location.country(match_field)
        latitude = ipinfo_location.latitude(match_field)
        longitude = ipinfo_location.longitude(match_field)
        postal_code = ipinfo_location.postal_code(match_field)
        region = ipinfo_location.region(match_field)
        region_code = ipinfo_location.region_code(match_field)
        timezone = ipinfo_location.timezone(match_field)
    
    if ipinfo_asn:
        asn = ipinfo_asn.asn(match_field)
        domain = ipinfo_asn.domain(match_field)
        name = ipinfo_asn.name(match_field)
        route = ipinfo_asn.route(match_field)
        asn_type = ipinfo_asn._type(match_field)

The next example uses the geoinfo_from_ip() function that returns a dictionary with geolocation information in the same format as panther_oss_helper.geoinfo_from_ip(), except it does not provide hostname and anycast fields.

result = geoinfo_from_ip(event, "sourceIPAddress")

If the event field being referenced is an array, then the helper function will return an array of the matching values. For example:

countries_of_all_ips = ipinfo_location.country('p_any_ip_addresses')
for country in countries_of_all_ips:
    if country == 'some unusual country':
        return True

Available methods

The following tables shows the available methods for the IPinfo Location, ASN and Privacy Objects, their descriptions, and expected return values.

All methods take the argument of the field you are searching for.

Location

Location method	Return type	Example
city	String	"San Francisco"
country	String	"US"
latitude	String	"37.7812"
longitude	String	"-122.4614"
postal_code	String	"94118"
region	String	"California"
region_code	String	"CA"
timezone	String	"America/Los_Angeles"
context	Object	a dictionary that contains all of the above fields with capitalized method name as a key, e.g.: { "City":"San Francisco", ... }

Location method

Return type

Example

city

String

"San Francisco"

country

String

"US"

latitude

String

"37.7812"

longitude

String

"-122.4614"

postal_code

String

"94118"

region

String

"California"

region_code

String

"CA"

timezone

String

"America/Los_Angeles"

context

Object

a dictionary that contains all of the above fields with capitalized method name as a key, e.g.: {

"City":"San Francisco", ...

}

ASN

ASN method	Return type	Example
asn	String	"AS7018"
domain	String	"att.com"
name	String	"AT&T Services, Inc."
route	String	"107.128.0.0/12"
type	String	"isp"
context	Object	a dictionary that contains all of the above fields with capitalized method name as a key, e.g.: { "ASN":"AS7018", "Domain" : "att.com", ... }

ASN method

Return type

Example

asn

String

"AS7018"

domain

String

"att.com"

name

String

"AT&T Services, Inc."

route

String

"107.128.0.0/12"

type

String

"isp"

context

Object

a dictionary that contains all of the above fields with capitalized method name as a key, e.g.: {

"ASN":"AS7018",

"Domain" : "att.com", ...

}

Privacy

Privacy method	Return type	Example
hosting	boolean	true
proxy	boolean	false
tor	boolean	true
vpn	boolean	false
relay	boolean	true
service	string	"NordVPN"

Privacy method

Return type

Example

hosting

boolean

true

proxy

boolean

false

tor

boolean

true

vpn

boolean

false

relay

boolean

true

service

string

"NordVPN"

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Last updated 1 year ago

Overview

How IPinfo works

IPinfo datasets

How to enable IPinfo datasets

CI/CD users

How to query IPinfo data in the data lake

Using a joinkey

Examples

Example: Alert based on IPinfo location data

Example: Query the data lake for IPinfo data using a joinkey

IPinfo Python helper function usage and methods

Creating IPinfo objects in a Python rule

Calling methods on the IPinfo objects

Available methods

Location

ASN

Privacy

Using a `joinkey`

Example: Query the data lake for IPinfo data using a `joinkey`