Detection rules › Splunk
Windows TeamCity Plugin Installed
Detects the creation of a plugin zip file under the TeamCity data structure. This indicates a new plugin has been installed and can potentially indicate attempts to gain code execution on the TeamCity server if the plugin installation was unexpected.
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Initial Access | T1190 Exploit Public-Facing Application |
| Execution | T1059 Command and Scripting Interpreter |
| Persistence | T1505.003 Server Software Component: Web Shell |
Event coverage
| Provider | Event | Title |
|---|---|---|
| Sysmon | Event ID 11 | FileCreate |
Rule body splunk
name: Windows TeamCity Plugin Installed
id: 2fd33fb6-8c72-4e88-869f-b3b516f9f37e
version: 2
creation_date: '2021-09-02'
modification_date: '2026-05-13'
author: Raven Tait, Splunk
status: production
type: Anomaly
description: |-
Detects the creation of a plugin zip file under the TeamCity data structure.
This indicates a new plugin has been installed and can potentially indicate attempts to gain code execution on the TeamCity server if the plugin installation was unexpected.
data_source:
- Sysmon EventID 11
search: |-
| tstats `security_content_summariesonly`
count min(_time) as firstTime
max(_time) as lastTime
from datamodel=Endpoint.Filesystem where
Filesystem.file_path="*:\\ProgramData\\JetBrains\\TeamCity\\plugins\\*"
Filesystem.file_name="*.zip"
Filesystem.action="created"
by Filesystem.dest Filesystem.action Filesystem.file_name Filesystem.user
Filesystem.vendor_product Filesystem.file_create_time Filesystem.process_path
Filesystem.process_guid Filesystem.process_id Filesystem.file_path
| `drop_dm_object_name(Filesystem)`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `windows_teamcity_plugin_installed_filter`
how_to_implement: The detection is based on data that originates from Endpoint Detection and Response (EDR) agents. These agents are designed to provide security-related telemetry from the endpoints where the agent is installed. To implement this search, you must ingest logs that contain the process GUID, process name, and parent process. Additionally, you must ingest complete command-line executions. These logs must be processed using the appropriate Splunk Technology Add-ons that are specific to the EDR product. The logs must also be mapped to the `Processes` node of the `Endpoint` data model. Use the Splunk Common Information Model (CIM) to normalize the field names and speed up the data modeling process.
known_false_positives: Legitimate plugin installations by authorized administrators can trigger this detection. Verify with change management records before investigating further.
references:
- https://thehackernews.com/2024/03/critical-jetbrains-teamcity-on-premises.html
- https://www.rapid7.com/blog/post/2024/03/04/etr-cve-2024-27198-and-cve-2024-27199-jetbrains-teamcity-multiple-authentication-bypass-vulnerabilities-fixed/
drilldown_searches:
- earliest_offset: $info_min_time$
latest_offset: $info_max_time$
name: View the detection results for - "$user$" and "$dest$"
search: '%original_detection_search% | search user = "$user$" dest = "$dest$"'
- name: View risk events for the last 7 days for - "$user$" and "$dest$"
search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$user$", "$dest$") | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
earliest_offset: 7d
latest_offset: "0"
intermediate_findings:
entities:
- field: dest
type: system
score: 20
message: A TeamCity plugin archive was created at $file_path$ on $dest$.
threat_objects:
- field: file_path
type: file_path
analytic_story:
- JetBrains TeamCity Vulnerabilities
- JetBrains TeamCity Unauthenticated RCE
asset_type: Endpoint
mitre_attack_id:
- T1505.003
- T1059
- T1190
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
category: endpoint
security_domain: endpoint
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1505.003/snapattack/snapattack.log
source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
sourcetype: XmlWinEventLog
test_type: unit
Stages and Predicates
Stage 1: tstats
| tstats `security_content_summariesonly`
count min(_time) as firstTime
max(_time) as lastTime
from datamodel=Endpoint.Filesystem where
Filesystem.file_path="*:\\ProgramData\\JetBrains\\TeamCity\\plugins\\*"
Filesystem.file_name="*.zip"
Filesystem.action="created"
by Filesystem.dest Filesystem.action Filesystem.file_name Filesystem.user
Filesystem.vendor_product Filesystem.file_create_time Filesystem.process_path
Filesystem.process_guid Filesystem.process_id Filesystem.file_path
Stage 2: search
| `drop_dm_object_name(Filesystem)`
Stage 3: search
| `security_content_ctime(firstTime)`
Stage 4: search
| `security_content_ctime(lastTime)`
Stage 5: search
| `windows_teamcity_plugin_installed_filter`
Indicators
Each row is a field, operator, and value that the rule matches. The corpus column counts how many other rules in the catalog look for the same combination: high numbers point to widely-used, community-vetted indicators. Blank or 1 shows that the indicator is specific to this rule.
| Field | Kind | Values |
|---|---|---|
Filesystem.action | eq |
|
Filesystem.file_name | eq |
|
Filesystem.file_path | eq |
|