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@@ -13,7 +13,7 @@ description: The following analytic identifies a suspicious process creation of
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and after this process execution, when it was executed and what schedule task it
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will execute.
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search: '| tstats `security_content_summariesonly` count from datamodel=Endpoint.Processes
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where Processes.process_name = at OR Processes.parent_process_name = at by Processes.dest
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where Processes.process_name IN ("at", "atd") OR Processes.parent_process_name IN ("at", "atd") by Processes.dest
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Processes.user Processes.parent_process_name Processes.process_name Processes.process
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Processes.process_id Processes.parent_process_id Processes.process_guid | `drop_dm_object_name(Processes)`
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| `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | `linux_at_application_execution_filter`'
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@@ -16,10 +16,10 @@ search: '| tstats `security_content_summariesonly` count min(_time) as firstTime
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as lastTime from datamodel=Endpoint.Processes where Processes.process_name IN ("chmod",
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"chown", "fchmod", "fchmodat", "fchown", "fchownat", "fremovexattr", "fsetxattr",
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"lchown", "lremovexattr", "lsetxattr", "removexattr", "setuid", "setgid", "setreuid",
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"setregid") OR Processes.process IN ("*chmod *", "*chown *", "*fchmod *", "*fchmodat
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"setregid", "chattr") OR Processes.process IN ("*chmod *", "*chown *", "*fchmod *", "*fchmodat
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*", "*fchown *", "*fchownat *", "*fremovexattr *", "*fsetxattr *", "*lchown *",
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"*lremovexattr *", "*lsetxattr *", "*removexattr *", "*setuid *", "*setgid *", "*setreuid
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*", "*setregid *", "*setcap *") by Processes.dest Processes.user Processes.parent_process_name
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*", "*setregid *", "*setcap *", "*chattr *") by Processes.dest Processes.user Processes.parent_process_name
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Processes.process_name Processes.process Processes.process_id Processes.parent_process_id
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Processes.process_guid | `drop_dm_object_name(Processes)` | `security_content_ctime(firstTime)`
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| `security_content_ctime(lastTime)` | `linux_common_process_for_elevation_control_filter`'
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@@ -0,0 +1,70 @@
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name: Linux DD File Overwrite
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id: 9b6aae5e-8d85-11ec-b2ae-acde48001122
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version: 1
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date: '2022-02-14'
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author: Teoderick Contreras, Splunk
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type: TTP
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datamodel:
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- Endpoint
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description: This analytic is to look for dd command to overwrite file. This technique was abused by adversaries or
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threat actor to destroy files or data on specific system or in a large number of host within network to interrupt host avilability,
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services and many more. This is also used to destroy data where it make the file irrecoverable by forensic techniques through overwriting files,
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data or local and remote drives.
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search: '| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes
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where Processes.process_name = "dd" AND Processes.process = "*of=*"
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by Processes.dest Processes.user Processes.parent_process_name Processes.process_name Processes.process Processes.process_id Processes.parent_process_id Processes.process_guid
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| `drop_dm_object_name(Processes)`
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| `security_content_ctime(firstTime)`
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| `security_content_ctime(lastTime)`
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| `linux_dd_file_overwrite_filter`'
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how_to_implement: To successfully implement this search, you need to be ingesting
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logs with the process name, parent process, and command-line executions from your
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endpoints. If you are using Sysmon, you can use the Add-on for Linux Sysmon from
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Splunkbase.
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known_false_positives: Administrator or network operator can execute this command.
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Please update the filter macros to remove false positives.
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references:
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- https://gtfobins.github.io/gtfobins/dd/
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- https://github.com/redcanaryco/atomic-red-team/blob/master/atomics/T1485/T1485.md
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tags:
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analytic_story:
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- Data Destruction
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dataset:
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- https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1485/linux_dd_file_overwrite/sysmon_linux.log
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kill_chain_phases:
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- Exploitation
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mitre_attack_id:
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- T1485
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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.process_name
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- Processes.process
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- Processes.process_id
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- Processes.parent_process_id
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security_domain: endpoint
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impact: 80
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confidence: 80
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# (impact * confidence)/100
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risk_score: 64
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context:
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- Source:Endpoint
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- Stage:Impact
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message: A commandline $process$ executed on $dest$
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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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nist:
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- DE.CM
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cis20:
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- CIS 3
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- CIS 5
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- CIS 16
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@@ -0,0 +1,70 @@
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name: Linux System Network Discovery
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id: 535cb214-8b47-11ec-a2c7-acde48001122
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version: 1
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date: '2022-02-11'
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author: Teoderick Contreras, Splunk
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type: Anomaly
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datamodel:
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- Endpoint
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description: This analytic is to look for possible enumeration of local network configuration.
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This technique is commonly used as part of recon of adversaries or threat actor to know some network information for its next or further
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attack. This anomaly detections may capture normal event made by administrator during auditing or testing network connection of specific
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host or network to network.
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search: '| tstats `security_content_summariesonly`
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count values(Processes.process_name) as process_name_list values(Processes.process) as process_list
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values(Processes.process_id) as process_id_list values(Processes.parent_process_id) as parent_process_id_list
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values(Processes.process_guid) as process_guid_list dc(Processes.process_name) as process_name_count from datamodel=Endpoint.Processes
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where Processes.process_name IN ("arp", "ifconfig", "ip", "netstat", "firewall-cmd", "ufw", "iptables", "ss", "route")
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by _time span=30m Processes.dest Processes.user
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| where process_name_count >=4
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| `drop_dm_object_name(Processes)`| `linux_system_network_discovery_filter`'
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how_to_implement: To successfully implement this search, you need to be ingesting
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logs with the process name, parent process, and command-line executions from your
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endpoints. If you are using Sysmon, you can use the Add-on for Linux Sysmon from
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Splunkbase.
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known_false_positives: Administrator or network operator can execute this command.
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Please update the filter macros to remove false positives.
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references:
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- https://github.com/redcanaryco/atomic-red-team/blob/master/atomics/T1016/T1016.md
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tags:
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analytic_story:
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- Network Discovery
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dataset:
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- https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1016/atomic_red_team/linux_net_discovery/sysmon_linux.log
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kill_chain_phases:
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- Reconnaissance
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mitre_attack_id:
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- T1016
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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.process_name
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- Processes.process
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- Processes.process_id
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- Processes.parent_process_id
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security_domain: endpoint
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impact: 30
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confidence: 30
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# (impact * confidence)/100
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risk_score: 9
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context:
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- Source:Endpoint
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- Stage:Reconaissance
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message: A commandline $process$ executed on $dest$
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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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nist:
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- DE.CM
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cis20:
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- CIS 3
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- CIS 5
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- CIS 16
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@@ -0,0 +1,22 @@
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name: Data Destruction
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id: 4ae5c0d1-cebd-47d1-bfce-71bf096e38aa
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version: 1
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date: '2022-02-14'
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author: Teoderick Contreras, Splunk
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description: Leverage searches that allow you to detect and investigate unusual activities
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that might relate to the data destruction, including deleting files, overwriting files, wiping disk and encrypting files.
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narrative: Adversaries may use this technique to maximize the impact on the target organization in operations where network wide availability interruption
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is the goal.
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references:
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- https://attack.mitre.org/techniques/T1485/
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- https://researchcenter.paloaltonetworks.com/2018/09/unit42-xbash-combines-botnet-ransomware-coinmining-worm-targets-linux-windows/
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- https://www.picussecurity.com/blog/a-brief-history-and-further-technical-analysis-of-sodinokibi-ransomware
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tags:
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analytic_story: Data Destruction
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category:
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- Malware
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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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usecase: Advanced Threat Detection
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@@ -0,0 +1,23 @@
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name: Network Discovery
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id: af228995-f182-49d7-90b3-2a732944f00f
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version: 1
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date: '2022-02-14'
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author: Teoderick Contreras, Splunk
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description: Leverage searches that allow you to detect and investigate unusual activities
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that might relate to the network discovery, including looking for network configuration, settings such as IP, MAC address,
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firewall settings and many more.
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narrative: Adversaries may use the information from System Network Configuration Discovery during automated discovery to shape follow-on behaviors,
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including determining certain access within the target network and what actions to do next.
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references:
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- https://attack.mitre.org/techniques/T1016/
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- https://www.welivesecurity.com/wp-content/uploads/2021/01/ESET_Kobalos.pdf
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- https://researchcenter.paloaltonetworks.com/2018/09/unit42-xbash-combines-botnet-ransomware-coinmining-worm-targets-linux-windows/
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tags:
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analytic_story: Network Discovery
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category:
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- Malware
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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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usecase: Advanced Threat Detection
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@@ -0,0 +1,12 @@
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name: Linux DD File Overwrite Unit Test
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tests:
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- name: Linux DD File Overwrite
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file: endpoint/linux_dd_file_overwrite.yml
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pass_condition: '| stats count | where count > 0'
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earliest_time: '-24h'
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latest_time: 'now'
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attack_data:
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- file_name: sysmon_linux.log
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data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1485/linux_dd_file_overwrite/sysmon_linux.log
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source: Syslog:Linux-Sysmon/Operational
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sourcetype: sysmon_linux
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@@ -0,0 +1,12 @@
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name: Linux System Network Discovery Unit Test
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tests:
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- name: Linux System Network Discovery
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file: endpoint/linux_system_network_discovery.yml
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pass_condition: '| stats count | where count > 0'
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earliest_time: '-24h'
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latest_time: 'now'
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attack_data:
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- file_name: sysmon_linux.log
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data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1016/atomic_red_team/linux_net_discovery/sysmon_linux.log
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source: Syslog:Linux-Sysmon/Operational
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sourcetype: sysmon_linux
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