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https://github.com/splunk/security_content
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pyth0n1c
87 lines
4.0 KiB
YAML
87 lines
4.0 KiB
YAML
name: Excessive Usage Of Taskkill
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id: fe5bca48-accb-11eb-a67c-acde48001122
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version: 6
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date: '2025-02-10'
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author: Teoderick Contreras, Splunk
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status: production
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type: Anomaly
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description: The following analytic identifies excessive usage of `taskkill.exe`,
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a command-line utility used to terminate processes. The detection leverages data
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from Endpoint Detection and Response (EDR) agents, focusing on instances where `taskkill.exe`
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is executed ten or more times within a one-minute span. This behavior is significant
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as adversaries often use `taskkill.exe` to disable security tools or other critical
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processes to evade detection. If confirmed malicious, this activity could allow
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attackers to bypass security defenses, maintain persistence, and further compromise
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the system.
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data_source:
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- Sysmon EventID 1
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- Windows Event Log Security 4688
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- CrowdStrike ProcessRollup2
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search: '| tstats `security_content_summariesonly` values(Processes.process) as process
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values(Processes.process_id) as process_id count min(_time) as firstTime max(_time)
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as lastTime from datamodel=Endpoint.Processes where Processes.process_name = "taskkill.exe" by
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Processes.parent_process_name Processes.process_name Processes.dest Processes.user
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_time span=1m | where count >=10 | `drop_dm_object_name(Processes)` | `security_content_ctime(firstTime)`
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| `security_content_ctime(lastTime)` | `excessive_usage_of_taskkill_filter`'
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how_to_implement: The detection is based on data that originates from Endpoint Detection
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and Response (EDR) agents. These agents are designed to provide security-related
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telemetry from the endpoints where the agent is installed. To implement this search,
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you must ingest logs that contain the process GUID, process name, and parent process.
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Additionally, you must ingest complete command-line executions. These logs must
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be processed using the appropriate Splunk Technology Add-ons that are specific to
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the EDR product. The logs must also be mapped to the `Processes` node of the `Endpoint`
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data model. Use the Splunk Common Information Model (CIM) to normalize the field
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names and speed up the data modeling process.
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known_false_positives: Unknown. Filter as needed.
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references:
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- https://thedfirreport.com/2020/04/20/sqlserver-or-the-miner-in-the-basement/
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- https://www.joesandbox.com/analysis/702680/0/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 ("$dest$")
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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: Excessive usage of taskkill.exe with process id $process_id$ (more than
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10 within 1m) has been detected on $dest$ with a parent process of $parent_process_name$.
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risk_objects:
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- field: dest
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type: system
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score: 28
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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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tags:
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analytic_story:
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- Azorult
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- AgentTesla
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- CISA AA22-277A
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- NjRAT
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- CISA AA22-264A
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- XMRig
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- Crypto Stealer
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asset_type: Endpoint
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mitre_attack_id:
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- T1562.001
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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/xmrig_miner/windows-sysmon.log
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source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
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sourcetype: XmlWinEventLog
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