mirror of
https://github.com/splunk/security_content
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Gowthamaraj rajendran
85 lines
3.5 KiB
YAML
85 lines
3.5 KiB
YAML
name: Windows Java Spawning Shells
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id: 28c81306-5c47-11ec-bfea-acde48001122
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version: 2
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date: '2023-01-23'
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author: Michael Haag, Splunk
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status: experimental
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type: TTP
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description: The following analytic identifies the process name of java.exe and w3wp.exe
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spawning a Windows shell. This is potentially indicative of exploitation of the
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Java application and may be related to current event CVE-2021-44228 (Log4Shell).
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The shells included in the macro are "cmd.exe", "powershell.exe". Upon triage, review
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parallel processes and command-line arguments to determine legitimacy.
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data_source:
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- Sysmon Event ID 1
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search: '| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time)
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as lastTime from datamodel=Endpoint.Processes where Processes.parent_process_name=java.exe
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OR Processes.parent_process_name=w3wp.exe `windows_shells` by Processes.dest Processes.user
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Processes.parent_process_name Processes.process_name Processes.process Processes.process_id
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Processes.parent_process_id | `drop_dm_object_name(Processes)` | `security_content_ctime(firstTime)`
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| `security_content_ctime(lastTime)` | `windows_java_spawning_shells_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: Filtering may be required on internal developer build systems
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or classify assets as web facing and restrict the analytic based on that.
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references:
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- https://blog.netlab.360.com/ten-families-of-malicious-samples-are-spreading-using-the-log4j2-vulnerability-now/
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- https://gist.github.com/olafhartong/916ebc673ba066537740164f7e7e1d72
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- https://www.horizon3.ai/manageengine-cve-2022-47966-technical-deep-dive/
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- https://github.com/horizon3ai/CVE-2022-47966/blob/3a51c6b72ebbd87392babd955a8fbeaee2090b35/CVE-2022-47966.py
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- https://blog.viettelcybersecurity.com/saml-show-stopper/
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- https://www.horizon3.ai/manageengine-cve-2022-47966-iocs/
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tags:
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analytic_story:
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- Log4Shell CVE-2021-44228
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asset_type: Endpoint
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confidence: 50
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cve:
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- CVE-2021-44228
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- CVE-2022-47966
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impact: 80
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message: An instance of $parent_process_name$ spawning $process_name$ was identified
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on endpoint $dest$ spawning a Windows shell, potentially indicative of exploitation.
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mitre_attack_id:
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- T1190
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- T1133
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observable:
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- name: dest
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type: Hostname
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role:
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- Victim
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- name: parent_process_name
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type: Process
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role:
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- Parent Process
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- name: process_name
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type: Process
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role:
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- Child Process
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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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- Processes.dest
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- Processes.user
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- Processes.parent_process_name
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- Processes.parent_process
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- Processes.original_file_name
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- Processes.process_name
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- Processes.process
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- Processes.process_id
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- Processes.parent_process_path
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- Processes.process_path
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- Processes.parent_process_id
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risk_score: 40
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security_domain: endpoint
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