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https://github.com/splunk/security_content
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74 lines
4.4 KiB
YAML
74 lines
4.4 KiB
YAML
name: Linux Sqlite3 Privilege Escalation
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id: ab75dbb7-c3ba-4689-9c1b-8d2717bdcba1
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version: 13
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creation_date: '2022-08-10'
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modification_date: '2026-05-13'
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author: Gowthamaraj Rajendran, Splunk
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status: production
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type: Anomaly
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description: The following analytic detects the execution of the sqlite3 command with elevated privileges, which can be exploited for privilege escalation. It leverages Endpoint Detection and Response (EDR) telemetry to identify instances where sqlite3 is used in conjunction with shell commands and sudo. This activity is significant because it indicates a potential attempt to gain root access, which could lead to full system compromise. If confirmed malicious, an attacker could execute arbitrary commands as root, leading to unauthorized access, data exfiltration, or further lateral movement within the network.
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data_source:
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- Sysmon for Linux EventID 1
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search: |-
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| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime FROM datamodel=Endpoint.Processes
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WHERE Processes.process="*sqlite3*"
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AND
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Processes.process="*.shell*"
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AND
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Processes.process="*sudo*"
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BY Processes.action Processes.dest Processes.original_file_name
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Processes.parent_process Processes.parent_process_exec Processes.parent_process_guid
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Processes.parent_process_id Processes.parent_process_name Processes.parent_process_path
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Processes.process Processes.process_exec Processes.process_guid
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Processes.process_hash Processes.process_id Processes.process_integrity_level
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Processes.process_name Processes.process_path Processes.user
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Processes.user_id Processes.vendor_product
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| `drop_dm_object_name(Processes)`
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| `security_content_ctime(firstTime)`
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| `security_content_ctime(lastTime)`
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| `linux_sqlite3_privilege_escalation_filter`
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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.
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known_false_positives: False positives may be present, filter as needed.
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references:
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- https://gtfobins.github.io/gtfobins/sqlite3/
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- https://manpages.ubuntu.com/manpages/trusty/en/man1/sqlite3.1.html
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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 ("$dest$") | 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)`'
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earliest_offset: 7d
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latest_offset: "0"
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intermediate_findings:
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entities:
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- field: dest
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type: system
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score: 20
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message: An instance of $parent_process_name$ spawning $process_name$ was identified on endpoint $dest$
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threat_objects:
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- field: parent_process_name
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type: parent_process_name
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- field: process_name
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type: process_name
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analytic_story:
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- Linux Privilege Escalation
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- Linux Living Off The Land
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asset_type: Endpoint
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mitre_attack_id:
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- T1548.003
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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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category: endpoint
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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: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1548/sqlite3/sysmon_linux.log
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source: Syslog:Linux-Sysmon/Operational
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sourcetype: sysmon:linux
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test_type: unit
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