There are a myriad of post exploitation frameworks that can be deployed and utilized by anyone. These frameworks are great to stand up as a defender to get an insight into what C&C (command and control) traffic can look like, and how to differentiate it from normal user behavior. The following blog post demonstrates an endpoint becoming infected, and the subsequent analysis in RSA NetWitness of the traffic from PowerShell Empire.
The attacker sets up a malicious page which contains their payload. The attacker can then use a phishing email to lure the victim into visiting the page. Upon the user opening the page, a PowerShell command is executed that infects the endpoint and is invisible to the end user:
The endpoint then starts communicating back to the attacker's C2. From here, the attacker can execute commands such as tasklist, whoami, and other tools:
From here onward, the command and control would continue to beacon at a designated interval to check back for commands. This is typically what the analyst will need to look for to determine which of their endpoints are infected.
Upon reducing the number of sessions to a more manageable number, the analyst can then look into other meta keys to see if there are any interesting artifacts. The analyst look under the
Filename, Directory, Client Application, and
Server Application meta keys, and observes the communication is always towards a microsft-iis/7.5 server, from the same user agent, and toward a subset of PHP files:
The analyst decides to use this is as a pivot point, and removes some of the other more refined queries, to focus on all communication toward those PHP files, from that user agent, and toward that IIS server version. The analyst now observes additional communication:
Opening up the visualization, the analyst can view the cadence of the communication and observes there to be a beacon type pattern:
Pivoting into the Event Analysis view, the analyst can look into a few more details to see if there suspicions on this being malicious are true. The analyst observes a low variance in payload, and a connection which is taking place ~every 4 minutes:
The analyst reconstructs some of the sessions to see the type of data being transferred, the analyst observes a variety of suspicious GET and POST's with varying data being transferred:
IMPORTANT NOTE: Application rules are very useful for tracking activity. They are however, very environment specific, therefore an application rule used in one environment, may be of high fidelity, but when used in another, could be incredibly noisy. Care should be taken when creating or using application rules to make sure they work well within your environment.
Pivoting in on the PowerShell that was launched, it is also possible to see the whoami and tasklist that was executed as well. This would help the analyst to paint a picture as to what the attacker was doing:
Rui Ataide has been working on a script to scrape Censys.io data looking for instances of PowerShell Empire. The attached Python script queries the Censys.io API looking for specific body request hashes, then subsequently gathers information surrounding the C2, including:
- Hosting Server Information
- The PS1 Script
- C2 Information
Also attached is a sample output from this script with the PowerShell Empire metadata that has currently been collected.
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