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splunk-security_content/detections/endpoint/sqlite_module_in_temp_folder.yml

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YAML

name: Sqlite Module In Temp Folder
id: 0f216a38-f45f-11eb-b09c-acde48001122
version: 6
date: '2025-05-02'
author: Teoderick Contreras, Splunk
status: production
type: TTP
description: The following analytic detects the creation of sqlite3.dll files in the
%temp% folder. It leverages Sysmon EventCode 11 to identify when these files are
written to the temporary directory. This activity is significant because it is associated
with IcedID malware, which uses the sqlite3 module to parse browser databases and
steal sensitive information such as banking details, credit card information, and
credentials. If confirmed malicious, this behavior could lead to significant data
theft and compromise of user accounts.
data_source:
- Sysmon EventID 11
search: '`sysmon` EventCode=11 (TargetFilename = "*\\sqlite32.dll" OR TargetFilename
= "*\\sqlite64.dll") (TargetFilename = "*\\temp\\*") | stats count min(_time) as
firstTime max(_time) as lastTime by action dest file_name file_path process_guid
process_id user_id vendor_product | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`
| `sqlite_module_in_temp_folder_filter`'
how_to_implement: To successfully implement this search, you need to be ingesting
logs with the process name, parent process, and command-line executions from your
endpoints. If you are using Sysmon, you must have at least version 6.0.4 of the
Sysmon TA.
known_false_positives: unknown
references:
- https://www.cisecurity.org/insights/white-papers/security-primer-icedid
drilldown_searches:
- name: View the detection results for - "$dest$"
search: '%original_detection_search% | search dest = "$dest$"'
earliest_offset: $info_min_time$
latest_offset: $info_max_time$
- name: View risk events for the last 7 days for - "$dest$"
search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$dest$")
starthoursago=168 | 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: $info_min_time$
latest_offset: $info_max_time$
rba:
message: Process creates a file $file_name$ in host $dest$
risk_objects:
- field: dest
type: system
score: 9
threat_objects: []
tags:
analytic_story:
- IcedID
asset_type: Endpoint
mitre_attack_id:
- T1005
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
security_domain: endpoint
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/malware/icedid/simulated_icedid/windows-sysmon.log
source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
sourcetype: XmlWinEventLog