WARNING THIS IS A EXPERIMENTAL object

We have not been able to test, simulate, or build datasets for this object. Use at your own risk. This analytic is NOT supported.

Try in Splunk Security Cloud

Description

This searches show information on uploaded containers including source user, image id, source IP user type, http user agent, region, first time, last time of operation (PutImage). These searches are based on Cloud Infrastructure Data Model.

  • Type: Hunting
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud

  • Last Updated: 2020-02-20
  • Author: Rod Soto, Rico Valdez, Splunk
  • ID: f0f70b40-f7ad-489d-9905-23d149da8099

Annotations

ATT&CK
ID Technique Tactic
T1525 Implant Internal Image Persistence
Kill Chain Phase
  • Exploitation
NIST
CIS20
CVE
1
2
3
4
| tstats count min(_time) as firstTime max(_time) as lastTime FROM datamodel=Cloud_Infrastructure.Compute where Compute.user_type!="AssumeRole" AND Compute.http_user_agent="AWS Internal" AND Compute.event_name="PutImage" by Compute.image_id Compute.src_user Compute.src Compute.region Compute.msg Compute.user_type 
| `drop_dm_object_name("Compute")` 
| `new_container_uploaded_to_aws_ecr_filter` 

Macros

The SPL above uses the following Macros:

Note that new_container_uploaded_to_aws_ecr_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Required field

  • _time

How To Implement

You must install the AWS App for Splunk (version 5.1.0 or later) and Splunk Add-on for AWS (version 4.4.0 or later), then configure your AWS CloudTrail inputs. You must also install Cloud Infrastructure data model. Please also customize the container_implant_aws_detection_filter macro to filter out the false positives.

Known False Positives

Uploading container is a normal behavior from developers or users with access to container registry.

Associated Analytic story

RBA

Risk Score Impact Confidence Message
25.0 50 50 tbd

Reference

Test Dataset

Replay any dataset to Splunk Enterprise by using our replay.py tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range

source | version: 1