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pyth0n1c
63 lines
2.0 KiB
YAML
63 lines
2.0 KiB
YAML
name: Sqlite Module In Temp Folder
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id: 0f216a38-f45f-11eb-b09c-acde48001122
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version: 1
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date: '2021-08-03'
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author: Teoderick Contreras, Splunk
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type: TTP
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datamodel:
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- Endpoint
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description: This search is to detect a suspicious file creation of sqlite3.dll in
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%temp% folder. This behavior was seen in IcedID malware where it download sqlite
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module to parse browser database like for chrome or firefox to stole browser information
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related to bank, credit card or credentials.
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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 process_name TargetFilename EventCode ProcessId
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Image | `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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tags:
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analytic_story:
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- IcedID
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confidence: 30
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context:
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- Source:Endpoint
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- Stage:Collection
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dataset:
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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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impact: 30
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kill_chain_phases:
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- Exploitation
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message: process $SourceImage$ create a file $TargetImage$ in host $Computer$
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mitre_attack_id:
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- T1005
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observable:
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- name: Computer
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type: Hostname
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role:
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- Victim
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- name: SourceImage
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type: Process
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role:
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- Attacker
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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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required_fields:
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- _time
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- process_name
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- TargetFilename
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- EventCode
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- ProcessId
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- Image
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risk_score: 9
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security_domain: endpoint
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asset_type: Endpoint
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