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Description

The following hunting analytic identifies the server side template injection related to CVE-2022-22954, however is a variation found within the same endpoint of the URL scheme.

  • Type: Hunting
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Web
  • Last Updated: 2022-05-19
  • Author: Michael Haag, Splunk
  • ID: 5796b570-ad12-44df-b1b5-b7e6ae3aabb0

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1190 Exploit Public-Facing Application Initial Access
Kill Chain Phase
  • Exploitation
NIST
  • DE.CM
CIS20
  • CIS 3
  • CIS 5
  • CIS 16
CVE
1
2
3
4
5
6
| tstats count from datamodel=Web where Web.http_method IN ("GET") Web.url="*deviceudid=*" AND Web.url IN ("*java.lang.ProcessBuilder*","*freemarker.template.utility.ObjectConstructor*") by Web.http_user_agent Web.http_method, Web.url,Web.url_length Web.src, Web.dest sourcetype 
| `drop_dm_object_name("Web")` 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `vmware_server_side_template_injection_hunt_filter`

Macros

The SPL above uses the following Macros:

:information_source: vmware_server_side_template_injection_hunt_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.

  • Web.http_method
  • Web.url
  • Web.url_length
  • Web.src
  • Web.dest
  • Web.http_user_agent

How To Implement

To successfully implement this search, you need to be ingesting web or proxy logs, or ensure it is being filled by a proxy like device, into the Web Datamodel. For additional filtering, allow list private IP space or restrict by known good.

Known False Positives

False positives may be present if the activity is blocked or was not successful. Filter known vulnerablity scanners. Filter as needed.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
35.0 70 50 An attempt to exploit a VMware Server Side Injection CVE-2022-22954 on $dest$ has occurred.

: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

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