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https://github.com/splunk/security_content
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Eric
41 lines
1.9 KiB
YAML
41 lines
1.9 KiB
YAML
name: Windows BootLoader Inventory
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id: 4f7e3913-4db3-4ccd-afe4-31198982305d
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version: 6
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date: '2025-05-02'
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author: Michael Haag, Splunk
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status: experimental
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type: Hunting
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data_source: []
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description: The following analytic identifies the bootloader paths on Windows endpoints.
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It leverages a PowerShell Scripted input to capture this data, which is then processed
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and aggregated using Splunk. Monitoring bootloader paths is significant for a SOC
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as it helps detect unauthorized modifications that could indicate bootkits or other
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persistent threats. If confirmed malicious, such activity could allow attackers
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to maintain persistence, bypass security controls, and potentially control the boot
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process, leading to full system compromise.
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search: '`bootloader_inventory` | stats count min(_time) as firstTime max(_time) as
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lastTime values(_raw) by host | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`
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| `windows_bootloader_inventory_filter`'
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how_to_implement: To implement this analytic, a new stanza will need to be added to
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a inputs.conf and deployed to all or some Windows endpoints. https://gist.github.com/MHaggis/26518cd2844b0e03de6126660bb45707
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provides the stanza. If modifying the sourcetype, be sure to update the Macro for
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this analytic. Recommend running it daily, or weekly, depending on threat model.
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known_false_positives: No false positives here, only bootloaders. Filter as needed
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or create a lookup as a baseline.
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references:
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- https://gist.github.com/MHaggis/26518cd2844b0e03de6126660bb45707
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- https://www.microsoft.com/en-us/security/blog/2023/04/11/guidance-for-investigating-attacks-using-cve-2022-21894-the-blacklotus-campaign/
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tags:
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analytic_story:
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- BlackLotus Campaign
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- Windows BootKits
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asset_type: Endpoint
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atomic_guid: []
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mitre_attack_id:
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- T1542.001
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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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