-
Notifications
You must be signed in to change notification settings - Fork 379
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge branch 'develop' into rdp_brute
- Loading branch information
Showing
13 changed files
with
181 additions
and
23 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
66 changes: 66 additions & 0 deletions
66
detections/cloud/o365_multiple_os_vendors_authenticating_from_user.yml
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,66 @@ | ||
| name: O365 Multiple OS Vendors Authenticating From User | ||
| id: 3451e58a-9457-4985-a600-b616b0cbfda1 | ||
| version: 1 | ||
| date: '2024-12-19' | ||
| author: Steven Dick | ||
| status: production | ||
| type: TTP | ||
| description: The following analytic identifies when multiple operating systems are used to authenticate to Azure/EntraID/Office 365 by the same user account over a short period of time. This activity could be indicative of attackers enumerating various logon capabilities of Azure/EntraID/Office 365 and attempting to discover weaknesses in the organizational MFA or conditional access configurations. Usage of the tools like "MFASweep" will trigger this detection. | ||
| data_source: | ||
| - Office 365 Universal Audit Log | ||
| search: |- | ||
| `o365_management_activity` Operation IN (UserLoginFailed,UserLoggedIn) | ||
| | eval -time = _time | ||
| | bin _time span=15m | ||
| | stats values(Operation) as signature, values(ErrorNumber) as signature_id, values(OS) as os_name, dc(OS) as os_count, count, min(-time) as firstTime, max(-time) as lastTime by ClientIP, UserId, _time | ||
| | where os_count >= 4 | ||
| | eval src = ClientIP, user = UserId | ||
| | `security_content_ctime(firstTime)` | ||
| | `security_content_ctime(lastTime)` | ||
| | `o365_multiple_os_vendors_authenticating_from_user_filter` | ||
| how_to_implement: You must install the Splunk Microsoft Office 365 Add-on and ingest Office 365 management activity events. The thresholds set within the analytic (such as unique OS) are initial guidelines and should be customized based on the organization's user behavior and risk profile. Security teams are encouraged to adjust these thresholds to optimize the balance between detecting genuine threats and minimizing false positives, ensuring the detection is tailored to their specific environment. | ||
| known_false_positives: IP or users where the usage of multiple Operating systems is expected, filter accordingly. | ||
| references: | ||
| - https://attack.mitre.org/techniques/T1110 | ||
| - https://www.blackhillsinfosec.com/exploiting-mfa-inconsistencies-on-microsoft-services/ | ||
| - https://sra.io/blog/msspray-wait-how-many-endpoints-dont-have-mfa/ | ||
| - https://github.com/dafthack/MFASweep/tree/master | ||
| drilldown_searches: | ||
| - name: View the detection results for - "$user$" | ||
| search: '%original_detection_search% | search user = "$user$"' | ||
| earliest_offset: $info_min_time$ | ||
| latest_offset: $info_max_time$ | ||
| - name: View risk events for the last 7 days for - "$user$" | ||
| search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$user$") starthoursago=168 | 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)`' | ||
| earliest_offset: $info_min_time$ | ||
| latest_offset: $info_max_time$ | ||
| - name: Investigate logons from $user$ | ||
| search: '`o365_management_activity` Operation IN (UserLoginFailed,UserLoggedIn) "$user$"' | ||
| earliest_offset: $info_min_time$ | ||
| latest_offset: $info_max_time$ | ||
| rba: | ||
| message: The user account $user$ authenticated with $os_count$ unique operating system types over a short period from $src$. | ||
| risk_objects: | ||
| - field: user | ||
| type: user | ||
| score: 60 | ||
| threat_objects: | ||
| - field: src | ||
| type: ip_address | ||
| tags: | ||
| analytic_story: | ||
| - Office 365 Account Takeover | ||
| asset_type: O365 Tenant | ||
| mitre_attack_id: | ||
| - T1110 | ||
| product: | ||
| - Splunk Enterprise | ||
| - Splunk Enterprise Security | ||
| - Splunk Cloud | ||
| security_domain: threat | ||
| tests: | ||
| - name: True Positive Test | ||
| attack_data: | ||
| - data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1110/azure_mfasweep_events/azure_mfasweep_events.log | ||
| source: o365 | ||
| sourcetype: o365:management:activity |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
64 changes: 64 additions & 0 deletions
64
detections/endpoint/windows_system_remote_discovery_with_query.yml
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,64 @@ | ||
| name: Windows System Remote Discovery With Query | ||
| id: 94859172-a521-474f-97ac-4cf4b09634a3 | ||
| version: 1 | ||
| date: '2025-02-05' | ||
| author: Steven Dick | ||
| status: production | ||
| type: Anomaly | ||
| description: The following analytic detects the execution of `query.exe` with command-line arguments aimed at discovering data on remote devices. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line executions. This activity is significant as adversaries may use `query.exe` to gain situational awareness and perform Active Directory discovery on compromised endpoints. If confirmed malicious, this behavior could allow attackers to identify various details about a system, aiding in further lateral movement and privilege escalation within the network. | ||
| data_source: | ||
| - Sysmon Event ID 1 | ||
| - Windows Security Event ID 4688 | ||
| - CrowdStrike ProcessRollup2 | ||
| search: |- | ||
| | tstats `security_content_summariesonly` values(Processes.process_current_directory) as Processes.process_current_directory values(Processes.process_id) as Processes.process_id values(Processes.process) as Processes.process values(Processes.parent_process_id) as Processes.parent_process_id values(Processes.parent_process) as Processes.parent_process count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where (Processes.process_name="query.exe" OR Processes.original_file_name="query.exe") AND (Processes.process="*/server*") AND NOT Processes.process IN ("*/server:localhost*", "*/server:127.0.0.1*") by Processes.dest Processes.user Processes.process_name Processes.parent_process_name | ||
| | `drop_dm_object_name(Processes)` | ||
| | `security_content_ctime(firstTime)` | ||
| | `security_content_ctime(lastTime)` | ||
| | `windows_system_remote_discovery_with_query_filter` | ||
| 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. | ||
| known_false_positives: Administrators or power users may use this command for troubleshooting. | ||
| references: | ||
| - https://attack.mitre.org/techniques/T1033/ | ||
| drilldown_searches: | ||
| - name: View the detection results for - "$dest$" and "$user$" | ||
| search: '%original_detection_search% | search dest = "$dest$" user = "$user$"' | ||
| earliest_offset: $info_min_time$ | ||
| latest_offset: $info_max_time$ | ||
| - name: View risk events for the last 7 days for - "$dest$" and "$user$" | ||
| search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$dest$","$user$") starthoursago=168 | 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)`' | ||
| earliest_offset: $info_min_time$ | ||
| latest_offset: $info_max_time$ | ||
| - name: Investigate processes on $dest$ | ||
| search: '| from datamodel:Endpoint.Processes | search dest=$dest$ process_name = $process_name|s$' | ||
| earliest_offset: $info_min_time$ | ||
| latest_offset: $info_max_time$ | ||
| rba: | ||
| message: The user $user$ ran the Query command to enumerate the remote system $dest$ | ||
| risk_objects: | ||
| - field: user | ||
| type: user | ||
| score: 25 | ||
| - field: dest | ||
| type: system | ||
| score: 25 | ||
| threat_objects: | ||
| - field: process_name | ||
| type: process_name | ||
| tags: | ||
| analytic_story: | ||
| - Active Directory Discovery | ||
| asset_type: Endpoint | ||
| mitre_attack_id: | ||
| - T1033 | ||
| product: | ||
| - Splunk Enterprise | ||
| - Splunk Enterprise Security | ||
| - Splunk Cloud | ||
| security_domain: endpoint | ||
| tests: | ||
| - name: True Positive Test | ||
| attack_data: | ||
| - data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1033/query_remote_usage/query_remote_usage.log | ||
| source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational | ||
| sourcetype: XmlWinEventLog |