3CX Supply Chain Attack Network Indicators
THIS IS A EXPERIMENTAL DETECTION
This detection has been marked experimental by the Splunk Threat Research team. This means we have not been able to test, simulate, or build datasets for this detection. Use at your own risk. This analytic is NOT supported.
The analytic provided below employs the Network_Resolution datamodel to detect domain indicators associated with the 3CX supply chain attack. By leveraging this query, you can efficiently conduct retrospective analysis of your data to uncover potential compromises.
- Type: TTP
- Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Datamodel: Network_Resolution
- Last Updated: 2023-03-30
- Author: Michael Haag, Splunk
- ID: 791b727c-deec-4fbe-a732-756131b3c5a1
Kill Chain Phase
- CIS 13
|CVE-2023-29059||3CX DesktopApp through 18.12.416 has embedded malicious code, as exploited in the wild in March 2023. This affects versions 18.12.407 and 18.12.416 of the 3CX DesktopApp Electron Windows application shipped in Update 7, and versions 18.11.1213, 18.12.402, 18.12.407, and 18.12.416 of the 3CX DesktopApp Electron macOS application.||None|
1 2 3 4 5 6 7 8 | tstats `security_content_summariesonly` values(DNS.answer) as IPs min(_time) as firstTime from datamodel=Network_Resolution by DNS.src, DNS.query | `drop_dm_object_name(DNS)` | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | lookup 3cx_ioc_domains domain as query OUTPUT Description isIOC | search isIOC=true | `3cx_supply_chain_attack_network_indicators_filter`
The SPL above uses the following Macros:
3cx_supply_chain_attack_network_indicators_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
The SPL above uses the following Lookups:
- 3cx_ioc_domains with data
List of fields required to use this analytic.
How To Implement
To successfully implement this search you need to be ingesting information into the
Network Resolution datamodel in the
DNS node. In addition, confirm the latest CIM App 4.20 or higher is installed and the latest TA''s are installed.
Known False Positives
False positives will be present for accessing the 3cx[.]com website. Remove from the lookup as needed.
Associated Analytic Story
|100.0||100||100||Indicators related to 3CX supply chain attack have been identified on $src$.|
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.
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