CrowdStrike has crafted a highly extensible platform that allows customers and partners alike to leverage APIs with other existing security solutions products. In this video and article, we will take a look at our integration with the ServiceNow platform.
Before setting up the integration in your ServiceNow instance, there are a few prerequisite steps.
- To get started with the CrowdStrike API, you’ll want to first define the API client and set its scope. Refer to this guide to getting access to the CrowdStrike API for setting up a new API client key. For the new API client, make sure the scope includes the following.
- Detection – Read, Write
- Visit the ServiceNow Store to view more info on the integration as well as download a user guide. There are other guides available as well.
- CrowdStrike Falcon Endpoint: Link
- Have an administrator of your instance install the Application(s).
Once the app is installed, enter the API information in the ‘Configurations’ section found by searching CrowdStrike in the Navigator. Configurations allow you to select several options such as incident creation and assignment groups.
How can customers use CrowdStrike event data within the ServiceNow interface?
Once you have installed and configured the ServiceNow integration, you will begin to receive a feed that will populate the “Detections” module within the CrowdStrike application. This allows you to view new threats at a glance.
You will be able to click into a detection to view more information about it, such as its severity and relevant metadata surrounding the event.
CrowdStrike’s ServiceNow integration heightens the usability of Falcon event data allowing your incidents responders to quickly identify and complete remediation of threats on your endpoints. Our API first approach makes it possible for you to leverage the CrowdStrike event data as needed to optimize your workflows and maximize the efforts of your overworked security staff.
Content provided by Dixon Styres
How to Contain an Infected System
Hi, there. My name’s Peter Ingebrigtsen. And today, we’ve logged into the falcon.crowdstrike.com, or the Falcon User Interface.
And what we’re going to do is take a look at some of our systems and recognize that some of them are either currently under attack or recently been under attack, and may have been compromised. And we’d like to contain that system until we can further get to it, get our hands on it, and get a little bit more information out of it, or just prevent it from doing any more damage than it’s already done.
In order to do that, you need to be on your Detections app. You can do that by going to the radar here on the left-hand side. If you’re not already, or if your user interface doesn’t open that when you first log in, head there. And then just select the Recent Detections.
When that opens, you’ll notice that you can filter by any number of criteria, but we’re looking at some of the more recent events or situations that are going on. And you’ll notice that the same single machine has noticed a lot of different scenarios with privilege escalation or web exploits. And these severities are high to critical.
And we’d like to log in there, maybe do a little something, take a little closer look, and see if there’s something we should do. Obviously, we should do something. And as we start to dig through here, we see that there’s a lot of detection patterns, whether that be known malware, credential theft, or web exploits. We can see in the process tree a lot of different commands that were issued that look at that privilege escalation that we noticed earlier– or start to set that up.
So, we know that there’s something bad going on, and we’d like to take action right away. So, what we want to do is network contain this machine. But what I want to show you, as well, is that as we do this– I’m going to go to the machine itself. And I’d like to start a continuous ping so that you can watch the behavior and how long it takes to respond to this network containment.
Now, while we contain this– or take this machine off the network– we don’t kill the connection to the CrowdStrike Cloud. So, that as we get our hands on it– we clean it up, we feel comfortable putting it back on to the network– we can still operate or control that machine through the user interface that we have here.
The other thing I’d like to do is start a large download, so that we initiate with a single TCP connection– and there happens to be one in process– as opposed to the ping, where there may be multiple TCP resets or individual TCP threads going every time. So that you can see that as we contain this machine, it literally just knocks it off the network.
Forgive my screen, but I’ve changed the resolution for YouTube and for appearance purposes.
But as I come in here– and this will be right at the middle of the screen– this actually says Device Actions. And I’d like to contain it.
Now, as we do that, we have some options to make some notes. Contained by Peter. Multiple threats observed. Whatever notes you’d like to make– and then select Contain.
Now, the second we do this, on the left-hand side, you’ll see how quickly it takes for that to respond. So, immediately, almost in real time, you see a network failure on the download, and the ping test– or the continuous ping fail. So, we can close that.
Now, let’s say we’re a couple days later, this machine’s cleaned up, ready to go, and be put back in the network. You can go ahead and lift the network containment, again, from the user interface. We still have that connection to the machine, even though all the other network connections have been terminated.
So, as we do that, all good. Uncontain. And you’ll notice that almost immediately that ping starts to fire right back up again.
So, network containment is a powerful tool that we can use if we see something immediately taking action or if we see something recently in the past, and we’d like to get that machine off the network– almost quarantine it– so that it can’t do any more damage.
So, this has been network containment of network devices in the Falcon Sensor User Interface platform. Thanks again for watching.