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https://github.com/splunk/security_content
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patel-bhavin
62 lines
2.3 KiB
YAML
62 lines
2.3 KiB
YAML
name: Msmpeng Application DLL Side Loading
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id: 8bb3f280-dd9b-11eb-84d5-acde48001122
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version: 2
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date: '2021-07-05'
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author: Teoderick Contreras, Splunk, Sanjay Govind
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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 creation of msmpeng.exe or mpsvc.dll
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in non default windows defender folder. This technique was seen couple days ago
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with revil ransomware in Kaseya Supply chain. The approach is to drop an old version
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of msmpeng.exe to load the actual payload name as mspvc.dll which will load the
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revil ransomware to the compromise machine
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search: '|tstats `security_content_summariesonly` values(Filesystem.file_path) as
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file_path count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Filesystem
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where (Filesystem.file_name = "msmpeng.exe" OR Filesystem.file_name = "mpsvc.dll") AND
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Filesystem.file_path != "*\\Program Files\\windows defender\\*" by Filesystem.file_create_time
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Filesystem.process_id Filesystem.file_name Filesystem.user | `drop_dm_object_name(Filesystem)`
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| `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | `msmpeng_application_dll_side_loading_filter`'
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how_to_implement: To successfully implement this search you need to be ingesting information
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on process that include the name of the Filesystem responsible for the changes from
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your endpoints into the `Endpoint` datamodel in the `Filesystem` node.
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known_false_positives: quite minimal false positive expected.
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references:
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- https://community.sophos.com/b/security-blog/posts/active-ransomware-attack-on-kaseya-customers
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tags:
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analytic_story:
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- Ransomware
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- Revil Ransomware
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context:
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- Source:Endpoint
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- Stage:Defense Evasion
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dataset:
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- https://media.githubusercontent.com/media/splunk/attack_data/master/datasets//malware/revil/msmpeng_side/windows-sysmon.log
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kill_chain_phases:
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- Exploitation
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message: ''
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mitre_attack_id:
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- T1574.002
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- T1574
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observable:
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- name: user
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type: User
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role:
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- Victim
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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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- Filesystem.file_create_time
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- Filesystem.process_id
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- Filesystem.file_name
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- Filesystem.user
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- Filesystem.file_path
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security_domain: endpoint
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asset_type: Endpoint
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confidence: 50
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impact: 50
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risk_score: 25.0
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