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https://github.com/splunk/security_content
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pyth0n1c
70 lines
3.0 KiB
YAML
70 lines
3.0 KiB
YAML
name: Sqlite Module In Temp Folder
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id: 0f216a38-f45f-11eb-b09c-acde48001122
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version: 4
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date: '2024-11-13'
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author: Teoderick Contreras, Splunk
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status: production
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type: TTP
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description: The following analytic detects the creation of sqlite3.dll files in the
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%temp% folder. It leverages Sysmon EventCode 11 to identify when these files are
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written to the temporary directory. This activity is significant because it is associated
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with IcedID malware, which uses the sqlite3 module to parse browser databases and
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steal sensitive information such as banking details, credit card information, and
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credentials. If confirmed malicious, this behavior could lead to significant data
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theft and compromise of user accounts.
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data_source:
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- Sysmon EventID 11
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search: '`sysmon` EventCode=11 (TargetFilename = "*\\sqlite32.dll" OR TargetFilename
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= "*\\sqlite64.dll") (TargetFilename = "*\\temp\\*") | stats count min(_time) as
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firstTime max(_time) as lastTime by dest signature signature_id process_name file_name
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file_path action process_guid| `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`
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| `sqlite_module_in_temp_folder_filter`'
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how_to_implement: To successfully implement this search, you need to be ingesting
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logs with the process name, parent process, and command-line executions from your
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endpoints. If you are using Sysmon, you must have at least version 6.0.4 of the
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Sysmon TA.
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known_false_positives: unknown
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references:
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- https://www.cisecurity.org/insights/white-papers/security-primer-icedid
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drilldown_searches:
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- name: View the detection results for - "$dest$"
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search: '%original_detection_search% | search dest = "$dest$"'
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earliest_offset: $info_min_time$
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latest_offset: $info_max_time$
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- name: View risk events for the last 7 days for - "$dest$"
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search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$dest$")
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starthoursago=168 | stats count min(_time) as firstTime max(_time) as lastTime
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values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories)
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as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic)
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as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)`
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| `security_content_ctime(lastTime)`'
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earliest_offset: $info_min_time$
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latest_offset: $info_max_time$
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rba:
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message: Process $process_name$ create a file $file_name$ in host $dest$
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risk_objects:
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- field: dest
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type: system
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score: 9
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threat_objects:
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- field: process_name
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type: process_name
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tags:
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analytic_story:
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- IcedID
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asset_type: Endpoint
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mitre_attack_id:
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- T1005
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product:
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- Splunk Enterprise
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- Splunk Enterprise Security
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- Splunk Cloud
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security_domain: endpoint
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tests:
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- name: True Positive Test
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attack_data:
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- data:
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https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/malware/icedid/simulated_icedid/windows-sysmon.log
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source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
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sourcetype: XmlWinEventLog
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