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Description

This search looks for events where AWS Batch Service is used for creating a job that could potentially abuse the AWS Bucket Replication feature on S3 buckets. This AWS service can used to transfer data between different AWS S3 buckets and an attacker can leverage this to exfiltrate data by creating a malicious batch job.

  • Type: TTP

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

  • Last Updated: 2023-04-24
  • Author:
  • ID: 04455dd3-ced7-480f-b8e6-5469b99e98e2

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1119 Automated Collection Collection
Kill Chain Phase
  • Exploitation
NIST
  • DE.CM
CIS20
  • CIS 10
CVE 


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`cloudtrail` eventName = JobCreated 
|  stats count min(_time) as firstTime max(_time) as lastTime values(serviceEventDetails.jobArn) as job_arn values(serviceEventDetails.status) as status by src_ip aws_account_id eventName errorCode userAgent
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `aws_exfiltration_via_datasync_task_filter`

Macros

The SPL above uses the following Macros:

:information_source: aws_exfiltration_via_batch_service_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Required fields

List of fields required to use this analytic.

  • _time
  • eventName
  • user_arn
  • src_ip
  • aws_account_id
  • userAgent

How To Implement

You must install splunk AWS add on and Splunk App for AWS. This search works with AWS CloudTrail logs.

Known False Positives

It is possible that an AWS Administrator or a user has legitimately created this job for some tasks.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
64.0 80 80 AWS Batch Job is created on account id - $aws_account_id$ by user $user_arn$ from src_ip $src_ip$

:information_source: The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.

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