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Description

The following analytic identifies potential exploitation attempts of the Confluence CVE-2023-22515 vulnerability. It detects successful accesses (HTTP status 200) to specific vulnerable endpoints by analyzing web logs within the Splunk 'Web' Data Model. This activity is significant for a SOC as it indicates possible privilege escalation attempts in Confluence. If confirmed malicious, attackers could gain unauthorized access or create accounts with escalated privileges, leading to potential data breaches or further exploitation within the environment.

  • Type: TTP
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Web
  • Last Updated: 2024-05-22
  • Author: Michael Haag, Splunk
  • ID: 630ea8b2-2800-4f5d-9cbc-d65c567349b0

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1190 Exploit Public-Facing Application Initial Access
Kill Chain Phase
  • Delivery
NIST
  • DE.CM
CIS20
  • CIS 13
CVE 


1
2
3
4
5
6



| tstats count min(_time) as firstTime max(_time) as lastTime from datamodel=Web where Web.url IN ("*/server-info.action?bootstrapStatusProvider.applicationConfig.setupComplete=false*","*/server-info.action?bootstrapStatusProvider.applicationConfig.setupComplete=0&*") Web.http_method=GET Web.status=200 by Web.http_user_agent, Web.status 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)` 
| `confluence_cve_2023_22515_trigger_vulnerability_filter`

Macros

The SPL above uses the following Macros:

:information_source: confluence_cve-2023-22515_trigger_vulnerability_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
  • Web.http_method
  • Web.url
  • Web.url_length
  • Web.src
  • Web.dest
  • Web.http_user_agent
  • Web.status

How To Implement

To successfully implement this search you need to be ingesting information on Web traffic that include fields relavent for traffic into the Web datamodel. Tested with Suricata and nginx:plus:kv.

Known False Positives

False positives may be present with legitimate applications. Attempt to filter by dest IP or use Asset groups to restrict to Confluence servers.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
72.0 90 80 Potential exploitation attempts on a known vulnerability in Atlassian Confluence detected. The source IP is $src$ and the destination hostname is $dest$.

: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: 3