The following analytic identifies the server side template injection related to CVE-2022-22954. Based on the scanning activity across the internet and proof of concept code available the template injection occurs at catalog-portal/ui/oauth/verify?error=&deviceudid=. Upon triage, review parallel processes and VMware logs. Following the deviceudid= may be a command to be executed. Capture any file creates and review modified files on disk.
- Type: Anomaly
- Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Datamodel: Web
- Last Updated: 2022-05-19
- Author: Michael Haag, Splunk
- ID: 9e5726fe-8fde-460e-bd74-cddcf6c86113
|T1190||Exploit Public-Facing Application||Initial Access|
Kill Chain Phase
- CIS 3
- CIS 5
- CIS 16
1 2 3 4 5 6 | tstats count from datamodel=Web where Web.http_method IN ("GET") Web.url="*/catalog-portal/ui/oauth/verify?error=&deviceudid=*" AND Web.url="*freemarker.template.utility.Execute*" 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_workspace_one_freemarker_server_side_template_injection_filter`
The SPL above uses the following Macros:
vmware_workspace_one_freemarker_server-side_template_injection_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
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
|49.0||70||70||An attempt to exploit a VMware Server Side Injection CVE-2022-22954 on $dest$ has occurred.|
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.
source | version: 1