diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 0000000000..b242572efb --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,5 @@ +{ + "githubPullRequests.ignoredPullRequestBranches": [ + "main" + ] +} \ No newline at end of file diff --git a/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-github-protected-branch-settings-changed.asciidoc b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-github-protected-branch-settings-changed.asciidoc new file mode 100644 index 0000000000..a2bc000d3d --- /dev/null +++ b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-github-protected-branch-settings-changed.asciidoc @@ -0,0 +1,63 @@ +[[prebuilt-rule-8-7-13-github-protected-branch-settings-changed]] +=== GitHub Protected Branch Settings Changed + +This rule detects setting modifications for protected branches of a GitHub repository. Branch protection rules can be used to enforce certain workflows or requirements before a contributor can push changes to a branch in your repository. Changes to these protected branch settings should be investigated and verified as legitimate activity. Unauthorized changes could be used to lower your organization's security posture and leave you exposed for future attacks. + +*Rule type*: eql + +*Rule indices*: + +* logs-github.audit-* + +*Severity*: medium + +*Risk score*: 47 + +*Runs every*: 5m + +*Searches indices from*: now-9m ({ref}/common-options.html#date-math[Date Math format], see also <>) + +*Maximum alerts per execution*: 100 + +*References*: None + +*Tags*: + +* Domain: Cloud +* Use Case: Threat Detection +* Tactic: Defense Evasion +* Data Source: Github + +*Version*: 1 + +*Rule authors*: + +* Elastic + +*Rule license*: Elastic License v2 + + +==== Rule query + + +[source, js] +---------------------------------- +configuration where event.dataset == "github.audit" + and github.category == "protected_branch" and event.type == "change" + +---------------------------------- + +*Framework*: MITRE ATT&CK^TM^ + +* Tactic: +** Name: Defense Evasion +** ID: TA0005 +** Reference URL: https://attack.mitre.org/tactics/TA0005/ +* Technique: +** Name: Impair Defenses +** ID: T1562 +** Reference URL: https://attack.mitre.org/techniques/T1562/ +* Sub-technique: +** Name: Disable or Modify Tools +** ID: T1562.001 +** Reference URL: https://attack.mitre.org/techniques/T1562/001/ diff --git a/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-github-repository-deleted.asciidoc b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-github-repository-deleted.asciidoc new file mode 100644 index 0000000000..f86a800c54 --- /dev/null +++ b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-github-repository-deleted.asciidoc @@ -0,0 +1,58 @@ +[[prebuilt-rule-8-7-13-github-repository-deleted]] +=== GitHub Repository Deleted + +This rule detects when a GitHub repository is deleted within your organization. Repositories are a critical component used within an organization to manage work, collaborate with others and release products to the public. Any delete action against a repository should be investigated to determine it's validity. Unauthorized deletion of organization repositories could cause irreversible loss of intellectual property and indicate compromise within your organization. + +*Rule type*: eql + +*Rule indices*: + +* logs-github.audit-* + +*Severity*: medium + +*Risk score*: 47 + +*Runs every*: 5m + +*Searches indices from*: now-9m ({ref}/common-options.html#date-math[Date Math format], see also <>) + +*Maximum alerts per execution*: 100 + +*References*: None + +*Tags*: + +* Domain: Cloud +* Use Case: Threat Detection +* Tactic: Impact +* Data Source: Github + +*Version*: 1 + +*Rule authors*: + +* Elastic + +*Rule license*: Elastic License v2 + + +==== Rule query + + +[source, js] +---------------------------------- +configuration where event.module == "github" and event.action == "repo.destroy" + +---------------------------------- + +*Framework*: MITRE ATT&CK^TM^ + +* Tactic: +** Name: Impact +** ID: TA0040 +** Reference URL: https://attack.mitre.org/tactics/TA0040/ +* Technique: +** Name: Data Destruction +** ID: T1485 +** Reference URL: https://attack.mitre.org/techniques/T1485/ diff --git a/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-network-activity-detected-via-cat.asciidoc b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-network-activity-detected-via-cat.asciidoc new file mode 100644 index 0000000000..30c28a75ae --- /dev/null +++ b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-network-activity-detected-via-cat.asciidoc @@ -0,0 +1,67 @@ +[[prebuilt-rule-8-7-13-network-activity-detected-via-cat]] +=== Network Activity Detected via cat + +This rule monitors for the execution of the cat command, followed by a connection attempt by the same process. Cat is capable of transfering data via tcp/udp channels by redirecting its read output to a /dev/tcp or /dev/udp channel. This activity is highly suspicious, and should be investigated. Attackers may leverage this capability to transfer tools or files to another host in the network or exfiltrate data while attempting to evade detection in the process. + +*Rule type*: eql + +*Rule indices*: + +* logs-endpoint.events.* + +*Severity*: medium + +*Risk score*: 47 + +*Runs every*: 5m + +*Searches indices from*: now-9m ({ref}/common-options.html#date-math[Date Math format], see also <>) + +*Maximum alerts per execution*: 100 + +*References*: None + +*Tags*: + +* Domain: Endpoint +* OS: Linux +* Use Case: Threat Detection +* Tactic: Command and Control +* Data Source: Elastic Defend + +*Version*: 1 + +*Rule authors*: + +* Elastic + +*Rule license*: Elastic License v2 + + +==== Rule query + + +[source, js] +---------------------------------- +sequence by host.id, process.entity_id with maxspan=1s + [process where host.os.type == "linux" and event.action == "exec" and event.type == "start" and + process.name == "cat"] + [network where host.os.type == "linux" and event.action in ("connection_attempted", "disconnect_received") and + process.name == "cat"] + +---------------------------------- + +*Framework*: MITRE ATT&CK^TM^ + +* Tactic: +** Name: Command and Control +** ID: TA0011 +** Reference URL: https://attack.mitre.org/tactics/TA0011/ +* Tactic: +** Name: Defense Evasion +** ID: TA0005 +** Reference URL: https://attack.mitre.org/tactics/TA0005/ +* Tactic: +** Name: Exfiltration +** ID: TA0010 +** Reference URL: https://attack.mitre.org/tactics/TA0010/ diff --git a/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-persistent-scripts-in-the-startup-directory.asciidoc b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-persistent-scripts-in-the-startup-directory.asciidoc new file mode 100644 index 0000000000..41b0682935 --- /dev/null +++ b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-persistent-scripts-in-the-startup-directory.asciidoc @@ -0,0 +1,145 @@ +[[prebuilt-rule-8-7-13-persistent-scripts-in-the-startup-directory]] +=== Persistent Scripts in the Startup Directory + +Identifies script engines creating files in the Startup folder, or the creation of script files in the Startup folder. Adversaries may abuse this technique to maintain persistence in an environment. + +*Rule type*: eql + +*Rule indices*: + +* winlogbeat-* +* logs-endpoint.events.* +* logs-windows.* +* endgame-* + +*Severity*: medium + +*Risk score*: 47 + +*Runs every*: 5m + +*Searches indices from*: now-9m ({ref}/common-options.html#date-math[Date Math format], see also <>) + +*Maximum alerts per execution*: 100 + +*References*: None + +*Tags*: + +* Domain: Endpoint +* OS: Windows +* Use Case: Threat Detection +* Tactic: Persistence +* Resources: Investigation Guide +* Data Source: Elastic Endgame +* Data Source: Elastic Defend + +*Version*: 108 + +*Rule authors*: + +* Elastic + +*Rule license*: Elastic License v2 + + +==== Investigation guide + + +[source, markdown] +---------------------------------- +## Triage and analysis + +### Investigating Persistent Scripts in the Startup Directory + +The Windows Startup folder is a special folder in Windows. Programs added to this folder are executed during account logon, without user interaction, providing an excellent way for attackers to maintain persistence. + +This rule looks for shortcuts created by wscript.exe or cscript.exe, or js/vbs scripts created by any process. + +> **Note**: +> This investigation guide uses the {security-guide}/invest-guide-run-osquery.html[Osquery Markdown Plugin]) introduced in Elastic Stack version 8.5.0. Older Elastic Stack versions will display unrendered Markdown in this guide. + +#### Possible investigation steps + +- Investigate the process execution chain (parent process tree) for unknown processes. Examine their executable files for prevalence, whether they are located in expected locations, and if they are signed with valid digital signatures. +- Investigate other alerts associated with the user/host during the past 48 hours. +- Validate if the activity is not related to planned patches, updates, network administrator activity, or legitimate software installations. +- Assess whether this behavior is prevalent in the environment by looking for similar occurrences across hosts. +- Examine the host for derived artifacts that indicate suspicious activities: + - Analyze the file using a private sandboxed analysis system. + - Observe and collect information about the following activities in both the sandbox and the alert subject host: + - Attempts to contact external domains and addresses. + - Use the Elastic Defend network events to determine domains and addresses contacted by the subject process by filtering by the process' `process.entity_id`. + - Examine the DNS cache for suspicious or anomalous entries. + - !{osquery{"label":"Osquery - Retrieve DNS Cache","query":"SELECT * FROM dns_cache"}} + - Use the Elastic Defend registry events to examine registry keys accessed, modified, or created by the related processes in the process tree. + - Examine the host services for suspicious or anomalous entries. + - !{osquery{"label":"Osquery - Retrieve All Services","query":"SELECT description, display_name, name, path, pid, service_type, start_type, status, user_account FROM services"}} + - !{osquery{"label":"Osquery - Retrieve Services Running on User Accounts","query":"SELECT description, display_name, name, path, pid, service_type, start_type, status, user_account FROM services WHERE\nNOT (user_account LIKE '%LocalSystem' OR user_account LIKE '%LocalService' OR user_account LIKE '%NetworkService' OR\nuser_account == null)\n"}} + - !{osquery{"label":"Osquery - Retrieve Service Unsigned Executables with Virustotal Link","query":"SELECT concat('https://www.virustotal.com/gui/file/', sha1) AS VtLink, name, description, start_type, status, pid,\nservices.path FROM services JOIN authenticode ON services.path = authenticode.path OR services.module_path =\nauthenticode.path JOIN hash ON services.path = hash.path WHERE authenticode.result != 'trusted'\n"}} + - Retrieve the files' SHA-256 hash values using the PowerShell `Get-FileHash` cmdlet and search for the existence and reputation of the hashes in resources like VirusTotal, Hybrid-Analysis, CISCO Talos, Any.run, etc. +- Investigate potentially compromised accounts. Analysts can do this by searching for login events (for example, 4624) to the target host after the registry modification. + +### False positive analysis + +- This activity is unlikely to happen legitimately. Benign true positives (B-TPs) can be added as exceptions if necessary. + +### Related rules + +- Suspicious Startup Shell Folder Modification - c8b150f0-0164-475b-a75e-74b47800a9ff +- Startup Folder Persistence via Unsigned Process - 2fba96c0-ade5-4bce-b92f-a5df2509da3f + +### Response and remediation + +- Initiate the incident response process based on the outcome of the triage. +- Isolate the involved host to prevent further post-compromise behavior. +- If the triage identified malware, search the environment for additional compromised hosts. + - Implement temporary network rules, procedures, and segmentation to contain the malware. + - Stop suspicious processes. + - Immediately block the identified indicators of compromise (IoCs). + - Inspect the affected systems for additional malware backdoors like reverse shells, reverse proxies, or droppers that attackers could use to reinfect the system. +- Remove and block malicious artifacts identified during triage. +- Investigate credential exposure on systems compromised or used by the attacker to ensure all compromised accounts are identified. Reset passwords for these accounts and other potentially compromised credentials, such as email, business systems, and web services. +- Run a full antimalware scan. This may reveal additional artifacts left in the system, persistence mechanisms, and malware components. +- Determine the initial vector abused by the attacker and take action to prevent reinfection through the same vector. +- Using the incident response data, update logging and audit policies to improve the mean time to detect (MTTD) and the mean time to respond (MTTR). +---------------------------------- + +==== Rule query + + +[source, js] +---------------------------------- +file where host.os.type == "windows" and event.type != "deletion" and user.domain != "NT AUTHORITY" and + + /* detect shortcuts created by wscript.exe or cscript.exe */ + (file.path : "C:\\*\\Programs\\Startup\\*.lnk" and + process.name : ("wscript.exe", "cscript.exe")) or + + /* detect vbs or js files created by any process */ + file.path : ("C:\\*\\Programs\\Startup\\*.vbs", + "C:\\*\\Programs\\Startup\\*.vbe", + "C:\\*\\Programs\\Startup\\*.wsh", + "C:\\*\\Programs\\Startup\\*.wsf", + "C:\\*\\Programs\\Startup\\*.js") + +---------------------------------- + +*Framework*: MITRE ATT&CK^TM^ + +* Tactic: +** Name: Persistence +** ID: TA0003 +** Reference URL: https://attack.mitre.org/tactics/TA0003/ +* Technique: +** Name: Boot or Logon Autostart Execution +** ID: T1547 +** Reference URL: https://attack.mitre.org/techniques/T1547/ +* Sub-technique: +** Name: Registry Run Keys / Startup Folder +** ID: T1547.001 +** Reference URL: https://attack.mitre.org/techniques/T1547/001/ +* Sub-technique: +** Name: Shortcut Modification +** ID: T1547.009 +** Reference URL: https://attack.mitre.org/techniques/T1547/009/ diff --git a/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-potential-meterpreter-reverse-shell.asciidoc b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-potential-meterpreter-reverse-shell.asciidoc new file mode 100644 index 0000000000..8c6d8e0c5f --- /dev/null +++ b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-potential-meterpreter-reverse-shell.asciidoc @@ -0,0 +1,110 @@ +[[prebuilt-rule-8-7-13-potential-meterpreter-reverse-shell]] +=== Potential Meterpreter Reverse Shell + +This detection rule identifies a sample of suspicious Linux system file reads used for system fingerprinting, leveraged by the Metasploit Meterpreter shell to gather information about the target that it is executing its shell on. Detecting this pattern is indicative of a successful meterpreter shell connection. + +*Rule type*: eql + +*Rule indices*: + +* auditbeat-* +* logs-auditd_manager.auditd-* + +*Severity*: medium + +*Risk score*: 47 + +*Runs every*: 5m + +*Searches indices from*: now-9m ({ref}/common-options.html#date-math[Date Math format], see also <>) + +*Maximum alerts per execution*: 100 + +*References*: None + +*Tags*: + +* Domain: Endpoint +* OS: Linux +* Use Case: Threat Detection +* Tactic: Execution + +*Version*: 1 + +*Rule authors*: + +* Elastic + +*Rule license*: Elastic License v2 + + +==== Investigation guide + + +[source, markdown] +---------------------------------- +## Setup +This rule requires the use of the `auditd_manager` integration. `Auditd_manager` is a tool designed to simplify and enhance the management of the audit subsystem in Linux systems. It provides a user-friendly interface and automation capabilities for configuring and monitoring system auditing through the auditd daemon. With `auditd_manager`, administrators can easily define audit rules, track system events, and generate comprehensive audit reports, improving overall security and compliance in the system. The following steps should be executed in order to install and deploy `auditd_manager` on a Linux system. + +``` +Kibana --> +Management --> +Integrations --> +Auditd Manager --> +Add Auditd Manager +``` + +`Auditd_manager` subscribes to the kernel and receives events as they occur without any additional configuration. However, if more advanced configuration is required to detect specific behavior, audit rules can be added to the integration in either the "audit rules" configuration box or the "auditd rule files" box by specifying a file to read the audit rules from. + +For this detection rule to trigger, the following additional audit rules are required to be added to the integration: + +``` +-w /proc/net/ -p r -k audit_proc +-w /etc/machine-id -p wa -k machineid +-w /etc/passwd -p wa -k passwd +``` + +Add the newly installed `auditd manager` to an agent policy, and deploy the agent on a Linux system from which auditd log files are desirable. +---------------------------------- + +==== Rule query + + +[source, js] +---------------------------------- +sample by host.id, process.pid, user.id +[file where host.os.type == "linux" and event.dataset == "auditd_manager.auditd" and auditd.data.syscall == "open" and + auditd.data.a2 == "1b6" and file.path == "/etc/machine-id"] +[file where host.os.type == "linux" and event.dataset == "auditd_manager.auditd" and auditd.data.syscall == "open" and + auditd.data.a2 == "1b6" and file.path == "/etc/passwd"] +[file where host.os.type == "linux" and event.dataset == "auditd_manager.auditd" and auditd.data.syscall == "open" and + auditd.data.a2 == "1b6" and file.path == "/proc/net/route"] +[file where host.os.type == "linux" and event.dataset == "auditd_manager.auditd" and auditd.data.syscall == "open" and + auditd.data.a2 == "1b6" and file.path == "/proc/net/ipv6_route"] +[file where host.os.type == "linux" and event.dataset == "auditd_manager.auditd" and auditd.data.syscall == "open" and + auditd.data.a2 == "1b6" and file.path == "/proc/net/if_inet6"] + +---------------------------------- + +*Framework*: MITRE ATT&CK^TM^ + +* Tactic: +** Name: Execution +** ID: TA0002 +** Reference URL: https://attack.mitre.org/tactics/TA0002/ +* Technique: +** Name: Command and Scripting Interpreter +** ID: T1059 +** Reference URL: https://attack.mitre.org/techniques/T1059/ +* Sub-technique: +** Name: Unix Shell +** ID: T1059.004 +** Reference URL: https://attack.mitre.org/techniques/T1059/004/ +* Tactic: +** Name: Command and Control +** ID: TA0011 +** Reference URL: https://attack.mitre.org/tactics/TA0011/ +* Technique: +** Name: Application Layer Protocol +** ID: T1071 +** Reference URL: https://attack.mitre.org/techniques/T1071/ diff --git a/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-potential-reverse-shell-via-udp.asciidoc b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-potential-reverse-shell-via-udp.asciidoc new file mode 100644 index 0000000000..2dcf556f1d --- /dev/null +++ b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-potential-reverse-shell-via-udp.asciidoc @@ -0,0 +1,106 @@ +[[prebuilt-rule-8-7-13-potential-reverse-shell-via-udp]] +=== Potential Reverse Shell via UDP + +This detection rule identifies suspicious network traffic patterns associated with UDP reverse shell activity. This activity consists of a sample of an execve, socket and connect syscall executed by the same process, where the auditd.data.a0-1 indicate a UDP connection, ending with an egress connection event. An attacker may establish a Linux UDP reverse shell to bypass traditional firewall restrictions and gain remote access to a target system covertly. + +*Rule type*: eql + +*Rule indices*: + +* auditbeat-* +* logs-auditd_manager.auditd-* + +*Severity*: medium + +*Risk score*: 47 + +*Runs every*: 5m + +*Searches indices from*: now-9m ({ref}/common-options.html#date-math[Date Math format], see also <>) + +*Maximum alerts per execution*: 100 + +*References*: + +* https://github.com/swisskyrepo/PayloadsAllTheThings/blob/master/Methodology%20and%20Resources/Reverse%20Shell%20Cheatsheet.md + +*Tags*: + +* OS: Linux +* Use Case: Threat Detection +* Tactic: Execution + +*Version*: 1 + +*Rule authors*: + +* Elastic + +*Rule license*: Elastic License v2 + + +==== Investigation guide + + +[source, markdown] +---------------------------------- +## Setup +This rule requires the use of the `auditd_manager` integration. `Auditd_manager` is a tool designed to simplify and enhance the management of the audit subsystem in Linux systems. It provides a user-friendly interface and automation capabilities for configuring and monitoring system auditing through the auditd daemon. With `auditd_manager`, administrators can easily define audit rules, track system events, and generate comprehensive audit reports, improving overall security and compliance in the system. The following steps should be executed in order to install and deploy `auditd_manager` on a Linux system. +``` +Kibana --> +Management --> +Integrations --> +Auditd Manager --> +Add Auditd Manager +``` +`Auditd_manager` subscribes to the kernel and receives events as they occur without any additional configuration. However, if more advanced configuration is required to detect specific behavior, audit rules can be added to the integration in either the "audit rules" configuration box or the "auditd rule files" box by specifying a file to read the audit rules from. +``` +For this detection rule no additional audit rules are required to be added to the integration. +``` +Add the newly installed `auditd manager` to an agent policy, and deploy the agent on a Linux system from which auditd log files are desirable. +---------------------------------- + +==== Rule query + + +[source, js] +---------------------------------- +sample by host.id, process.pid, process.parent.pid +[process where host.os.type == "linux" and event.dataset == "auditd_manager.auditd" and + auditd.data.syscall == "execve" and process.name : ("bash", "dash", "sh", "tcsh", + "csh", "zsh", "ksh", "fish", "perl", "python*", "nc", "ncat", "netcat", "php*", "ruby", + "openssl", "awk", "telnet", "lua*", "socat")] +[process where host.os.type == "linux" and event.dataset == "auditd_manager.auditd" and + auditd.data.syscall == "socket" and process.name : ("bash", "dash", "sh", "tcsh", "csh", + "zsh", "ksh", "fish", "perl", "python*", "nc", "ncat", "netcat", "php*", "ruby", "openssl", + "awk", "telnet", "lua*", "socat") and auditd.data.a0 == "2" and auditd.data.a1 : ("2", "802")] +[network where host.os.type == "linux" and event.dataset == "auditd_manager.auditd" and + auditd.data.syscall == "connect" and process.name : ("bash", "dash", "sh", "tcsh", "csh", + "zsh", "ksh", "fish", "perl", "python*", "nc", "ncat", "netcat", "php*", "ruby", "openssl", + "awk", "telnet", "lua*", "socat") and network.direction == "egress" and destination.ip != null and + destination.ip != "127.0.0.1" and destination.ip != "127.0.0.53" and destination.ip != "::1"] + +---------------------------------- + +*Framework*: MITRE ATT&CK^TM^ + +* Tactic: +** Name: Execution +** ID: TA0002 +** Reference URL: https://attack.mitre.org/tactics/TA0002/ +* Technique: +** Name: Command and Scripting Interpreter +** ID: T1059 +** Reference URL: https://attack.mitre.org/techniques/T1059/ +* Sub-technique: +** Name: Unix Shell +** ID: T1059.004 +** Reference URL: https://attack.mitre.org/techniques/T1059/004/ +* Tactic: +** Name: Command and Control +** ID: TA0011 +** Reference URL: https://attack.mitre.org/tactics/TA0011/ +* Technique: +** Name: Application Layer Protocol +** ID: T1071 +** Reference URL: https://attack.mitre.org/techniques/T1071/ diff --git a/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-threat-intel-hash-indicator-match.asciidoc b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-threat-intel-hash-indicator-match.asciidoc new file mode 100644 index 0000000000..585b52d1d3 --- /dev/null +++ b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-threat-intel-hash-indicator-match.asciidoc @@ -0,0 +1,118 @@ +[[prebuilt-rule-8-7-13-threat-intel-hash-indicator-match]] +=== Threat Intel Hash Indicator Match + +This rule is triggered when a hash indicator from the Threat Intel Filebeat module or integrations has a match against an event that contains file hashes, such as antivirus alerts, process creation, library load, and file operation events. + +*Rule type*: threat_match + +*Rule indices*: + +* auditbeat-* +* endgame-* +* filebeat-* +* logs-* +* winlogbeat-* + +*Severity*: critical + +*Risk score*: 99 + +*Runs every*: 1h + +*Searches indices from*: now-65m ({ref}/common-options.html#date-math[Date Math format], see also <>) + +*Maximum alerts per execution*: 100 + +*References*: + +* https://www.elastic.co/guide/en/beats/filebeat/current/filebeat-module-threatintel.html +* https://www.elastic.co/guide/en/security/master/es-threat-intel-integrations.html +* https://www.elastic.co/security/tip + +*Tags*: + +* OS: Windows +* Data Source: Elastic Endgame +* Rule Type: Indicator Match + +*Version*: 4 + +*Rule authors*: + +* Elastic + +*Rule license*: Elastic License v2 + + +==== Investigation guide + + +[source, markdown] +---------------------------------- +## Triage and Analysis + +### Investigating Threat Intel Hash Indicator Match + +Threat Intel indicator match rules allow matching from a local observation, such as an endpoint event that records a file hash with an entry of a file hash stored within the Threat Intel integrations index. + +Matches are based on threat intelligence data that's been ingested during the last 30 days. Some integrations don't place expiration dates on their threat indicators, so we strongly recommend validating ingested threat indicators and reviewing match results. When reviewing match results, check associated activity to determine whether the event requires additional investigation. + +This rule is triggered when a hash indicator from the Threat Intel Filebeat module or an indicator ingested from a threat intelligence integration matches against an event that contains file hashes, such as antivirus alerts, file operation events, etc. + +> **Note**: +> This investigation guide uses the {security-guide}/invest-guide-run-osquery.html[Osquery Markdown Plugin]) introduced in Elastic Stack version 8.5.0. Older Elastic Stack versions will display unrendered Markdown in this guide. + +#### Possible investigation steps + +- Gain context about the field that matched the local observation. This information can be found in the `threat.indicator.matched.field` field. +- Investigate the hash , which can be found in the `threat.indicator.matched.atomic` field: + - Search for the existence and reputation of the hash in resources like VirusTotal, Hybrid-Analysis, CISCO Talos, Any.run, etc. + - Scope other potentially compromised hosts in your environment by mapping hosts with file operations involving the same hash. +- Identify the process that created the file. + - Investigate the process execution chain (parent process tree) for unknown processes. Examine their executable files for prevalence, whether they are located in expected locations, and if they are signed with valid digital signatures. + - Enrich the information that you have right now by determining how the file was dropped, where it was downloaded from, etc. This can help you determine if the event is part of an ongoing campaign against the organization. +- Retrieve the involved file and examine the host for derived artifacts that indicate suspicious activities: + - Analyze the process executable using a private sandboxed analysis system. + - Observe and collect information about the following activities in both the sandbox and the alert subject host: + - Attempts to contact external domains and addresses. + - Use the Elastic Defend network events to determine domains and addresses contacted by the subject process by filtering by the process' `process.entity_id`. + - Examine the DNS cache for suspicious or anomalous entries. + - !{osquery{"label":"Osquery - Retrieve DNS Cache","query":"SELECT * FROM dns_cache"}} + - Use the Elastic Defend registry events to examine registry keys accessed, modified, or created by the related processes in the process tree. + - Examine the host services for suspicious or anomalous entries. + - !{osquery{"label":"Osquery - Retrieve All Services","query":"SELECT description, display_name, name, path, pid, service_type, start_type, status, user_account FROM services"}} + - !{osquery{"label":"Osquery - Retrieve Services Running on User Accounts","query":"SELECT description, display_name, name, path, pid, service_type, start_type, status, user_account FROM services WHERE\nNOT (user_account LIKE '%LocalSystem' OR user_account LIKE '%LocalService' OR user_account LIKE '%NetworkService' OR\nuser_account == null)\n"}} + - !{osquery{"label":"Osquery - Retrieve Service Unsigned Executables with Virustotal Link","query":"SELECT concat('https://www.virustotal.com/gui/file/', sha1) AS VtLink, name, description, start_type, status, pid,\nservices.path FROM services JOIN authenticode ON services.path = authenticode.path OR services.module_path =\nauthenticode.path JOIN hash ON services.path = hash.path WHERE authenticode.result != 'trusted'\n"}} +- Using the data collected through the analysis, scope users targeted and other machines infected in the environment. + +### False Positive Analysis + +- Adversaries often use legitimate tools as network administrators, such as `PsExec` or `AdFind`. These tools are often included in indicator lists, which creates the potential for false positives. + +### Response and Remediation + +- Initiate the incident response process based on the outcome of the triage. +- Isolate the involved host to prevent further post-compromise behavior. +- If the triage identified malware, search the environment for additional compromised hosts. + - Implement temporary network rules, procedures, and segmentation to contain the malware. + - Stop suspicious processes. + - Immediately block the identified indicators of compromise (IoCs). + - Inspect the affected systems for additional malware backdoors like reverse shells, reverse proxies, or droppers that attackers could use to reinfect the system. +- Remove and block malicious artifacts identified during triage. +- Run a full antimalware scan. This may reveal additional artifacts left in the system, persistence mechanisms, and malware components. +- Determine the initial vector abused by the attacker and take action to prevent reinfection through the same vector. +- Using the incident response data, update logging and audit policies to improve the mean time to detect (MTTD) and the mean time to respond (MTTR). + +This rule needs threat intelligence indicators to work. Threat intelligence indicators can be collected using an {security-guide}/es-threat-intel-integrations.html#agent-ti-integration[Threat Intel module], the {security-guide}/es-threat-intel-integrations.html#ti-mod-integration[Threat Intel module], or a {security-guide}/es-threat-intel-integrations.html#custom-ti-integration[custom integration]. + +More information can be found {security-guide}/es-threat-intel-integrations.html[here]. +---------------------------------- + +==== Rule query + + +[source, js] +---------------------------------- +file.hash.*:* or process.hash.*:* or dll.hash.*:* + +---------------------------------- diff --git a/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-threat-intel-ip-address-indicator-match.asciidoc b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-threat-intel-ip-address-indicator-match.asciidoc new file mode 100644 index 0000000000..3240c11b3f --- /dev/null +++ b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-threat-intel-ip-address-indicator-match.asciidoc @@ -0,0 +1,120 @@ +[[prebuilt-rule-8-7-13-threat-intel-ip-address-indicator-match]] +=== Threat Intel IP Address Indicator Match + +This rule is triggered when an IP address indicator from the Threat Intel Filebeat module or integrations has a match against a network event. + +*Rule type*: threat_match + +*Rule indices*: + +* auditbeat-* +* endgame-* +* filebeat-* +* logs-* +* packetbeat-* +* winlogbeat-* + +*Severity*: critical + +*Risk score*: 99 + +*Runs every*: 1h + +*Searches indices from*: now-65m ({ref}/common-options.html#date-math[Date Math format], see also <>) + +*Maximum alerts per execution*: 100 + +*References*: + +* https://www.elastic.co/guide/en/beats/filebeat/current/filebeat-module-threatintel.html +* https://www.elastic.co/guide/en/security/master/es-threat-intel-integrations.html +* https://www.elastic.co/security/tip + +*Tags*: + +* OS: Windows +* Data Source: Elastic Endgame +* Rule Type: Indicator Match + +*Version*: 3 + +*Rule authors*: + +* Elastic + +*Rule license*: Elastic License v2 + + +==== Investigation guide + + +[source, markdown] +---------------------------------- +## Triage and Analysis + +### Investigating Threat Intel IP Address Indicator Match + +Threat Intel indicator match rules allow matching from a local observation, such as an endpoint event that records a file hash with an entry of a file hash stored within the Threat Intel integrations index. + +Matches are based on threat intelligence data that's been ingested during the last 30 days. Some integrations don't place expiration dates on their threat indicators, so we strongly recommend validating ingested threat indicators and reviewing match results. When reviewing match results, check associated activity to determine whether the event requires additional investigation. + +This rule is triggered when an IP address indicator from the Threat Intel Filebeat module or a threat intelligence integration matches against a network event. + +> **Note**: +> This investigation guide uses the {security-guide}/invest-guide-run-osquery.html[Osquery Markdown Plugin]) introduced in Elastic Stack version 8.5.0. Older Elastic Stack versions will display unrendered Markdown in this guide. + +#### Possible investigation steps + +- Gain context about the field that matched the local observation so you can understand the nature of the connection. This information can be found in the `threat.indicator.matched.field` field. +- Investigate the IP address, which can be found in the `threat.indicator.matched.atomic` field: + - Check the reputation of the IP address in resources like VirusTotal, Hybrid-Analysis, CISCO Talos, Any.run, etc. + - Execute a reverse DNS lookup to retrieve hostnames associated with the given IP address. +- Assess whether this behavior is prevalent in the environment by looking for similar occurrences across hosts. +- Identify the process responsible for the connection, and investigate the process execution chain (parent process tree) for unknown processes. Examine their executable files for prevalence, whether they are located in expected locations, and if they are signed with valid digital signatures. +- Retrieve the involved process executable and examine the host for derived artifacts that indicate suspicious activities: + - Analyze the process executable using a private sandboxed analysis system. + - Observe and collect information about the following activities in both the sandbox and the alert subject host: + - Attempts to contact external domains and addresses. + - Use the Elastic Defend network events to determine domains and addresses contacted by the subject process by filtering by the process' `process.entity_id`. + - Examine the DNS cache for suspicious or anomalous entries. + - !{osquery{"label":"Osquery - Retrieve DNS Cache","query":"SELECT * FROM dns_cache"}} + - Use the Elastic Defend registry events to examine registry keys accessed, modified, or created by the related processes in the process tree. + - Examine the host services for suspicious or anomalous entries. + - !{osquery{"label":"Osquery - Retrieve All Services","query":"SELECT description, display_name, name, path, pid, service_type, start_type, status, user_account FROM services"}} + - !{osquery{"label":"Osquery - Retrieve Services Running on User Accounts","query":"SELECT description, display_name, name, path, pid, service_type, start_type, status, user_account FROM services WHERE\nNOT (user_account LIKE '%LocalSystem' OR user_account LIKE '%LocalService' OR user_account LIKE '%NetworkService' OR\nuser_account == null)\n"}} + - !{osquery{"label":"Osquery - Retrieve Service Unsigned Executables with Virustotal Link","query":"SELECT concat('https://www.virustotal.com/gui/file/', sha1) AS VtLink, name, description, start_type, status, pid,\nservices.path FROM services JOIN authenticode ON services.path = authenticode.path OR services.module_path =\nauthenticode.path JOIN hash ON services.path = hash.path WHERE authenticode.result != 'trusted'\n"}} +- Using the data collected through the analysis, scope users targeted and other machines infected in the environment. + +### False Positive Analysis + +- When a match is found, it's important to consider the indicator's initial release date. Threat intelligence is useful for augmenting existing security processes but can quickly become outdated. In other words, some threat intelligence only represents a specific set of activity observed at a specific time. For example, an IP address may have hosted malware observed in a Dridex campaign months ago, but it's possible that IP has been remediated and no longer represents any threat. +- False positives might occur after large and publicly written campaigns if curious employees interact with attacker infrastructure. +- Some feeds may include internal or known benign addresses by mistake (e.g., 8.8.8.8, google.com, 127.0.0.1, etc.). Make sure you understand how blocking a specific domain or address might impact the organization or normal system functioning. + +### Response and Remediation + +- Initiate the incident response process based on the outcome of the triage. +- Isolate the involved host to prevent further post-compromise behavior. +- If the triage identified malware, search the environment for additional compromised hosts. + - Implement temporary network rules, procedures, and segmentation to contain the malware. + - Stop suspicious processes. + - Immediately block the identified indicators of compromise (IoCs). + - Inspect the affected systems for additional malware backdoors like reverse shells, reverse proxies, or droppers that attackers could use to reinfect the system. +- Remove and block malicious artifacts identified during triage. +- Run a full antimalware scan. This may reveal additional artifacts left in the system, persistence mechanisms, and malware components. +- Determine the initial vector abused by the attacker and take action to prevent reinfection through the same vector. +- Using the incident response data, update logging and audit policies to improve the mean time to detect (MTTD) and the mean time to respond (MTTR). + +This rule needs threat intelligence indicators to work. Threat intelligence indicators can be collected using an {security-guide}/es-threat-intel-integrations.html#agent-ti-integration[Threat Intel module], the {security-guide}/es-threat-intel-integrations.html#ti-mod-integration[Threat Intel module], or a {security-guide}/es-threat-intel-integrations.html#custom-ti-integration[custom integration]. + +More information can be found {security-guide}/es-threat-intel-integrations.html[here]. +---------------------------------- + +==== Rule query + + +[source, js] +---------------------------------- +source.ip:* or destination.ip:* + +---------------------------------- diff --git a/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-threat-intel-url-indicator-match.asciidoc b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-threat-intel-url-indicator-match.asciidoc new file mode 100644 index 0000000000..21c3ed72c7 --- /dev/null +++ b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-threat-intel-url-indicator-match.asciidoc @@ -0,0 +1,123 @@ +[[prebuilt-rule-8-7-13-threat-intel-url-indicator-match]] +=== Threat Intel URL Indicator Match + +This rule is triggered when a URL indicator from the Threat Intel Filebeat module or integrations has a match against an event that contains URL data, like DNS events, network logs, etc. + +*Rule type*: threat_match + +*Rule indices*: + +* auditbeat-* +* endgame-* +* filebeat-* +* logs-* +* packetbeat-* +* winlogbeat-* + +*Severity*: critical + +*Risk score*: 99 + +*Runs every*: 1h + +*Searches indices from*: now-65m ({ref}/common-options.html#date-math[Date Math format], see also <>) + +*Maximum alerts per execution*: 100 + +*References*: + +* https://www.elastic.co/guide/en/beats/filebeat/current/filebeat-module-threatintel.html +* https://www.elastic.co/guide/en/security/master/es-threat-intel-integrations.html +* https://www.elastic.co/security/tip + +*Tags*: + +* OS: Windows +* Data Source: Elastic Endgame +* Rule Type: Indicator Match + +*Version*: 3 + +*Rule authors*: + +* Elastic + +*Rule license*: Elastic License v2 + + +==== Investigation guide + + +[source, markdown] +---------------------------------- +## Triage and Analysis + +### Investigating Threat Intel URL Indicator Match + +Threat Intel indicator match rules allow matching from a local observation, such as an endpoint event that records a file hash with an entry of a file hash stored within the Threat Intel integrations index. + +Matches are based on threat intelligence data that's been ingested during the last 30 days. Some integrations don't place expiration dates on their threat indicators, so we strongly recommend validating ingested threat indicators and reviewing match results. When reviewing match results, check associated activity to determine whether the event requires additional investigation. + +This rule is triggered when a URL indicator from the Threat Intel Filebeat module or a threat intelligence integration matches against an event that contains URL data, like DNS events, network logs, etc. + +> **Note**: +> This investigation guide uses the {security-guide}/invest-guide-run-osquery.html[Osquery Markdown Plugin]) introduced in Elastic Stack version 8.5.0. Older Elastic Stack versions will display unrendered Markdown in this guide. + +#### Possible investigation steps + +- Investigate the URL, which can be found in the `threat.indicator.matched.atomic` field: + - Identify the type of malicious activity related to the URL (phishing, malware, etc.). + - Check the reputation of the IP address in resources like VirusTotal, Hybrid-Analysis, CISCO Talos, Any.run, etc. + - Execute a WHOIS lookup to retrieve information about the domain registration and contacts to report abuse. + - If dealing with a phishing incident: + - Contact the user to gain more information around the delivery method, information sent, etc. + - Analyze whether the URL is trying to impersonate a legitimate address. Look for typosquatting, extra or unusual subdomains, or other anomalies that could lure the user. + - Investigate the phishing page to identify which information may have been sent to the attacker by the user. +- Identify the process responsible for the connection, and investigate the process execution chain (parent process tree) for unknown processes. Examine their executable files for prevalence, whether they are located in expected locations, and if they are signed with valid digital signatures. +- Retrieve the involved process executable and examine the host for derived artifacts that indicate suspicious activities: + - Analyze the process executable using a private sandboxed analysis system. + - Observe and collect information about the following activities in both the sandbox and the alert subject host: + - Attempts to contact external domains and addresses. + - Use the Elastic Defend network events to determine domains and addresses contacted by the subject process by filtering by the process' `process.entity_id`. + - Examine the DNS cache for suspicious or anomalous entries. + - !{osquery{"label":"Osquery - Retrieve DNS Cache","query":"SELECT * FROM dns_cache"}} + - Use the Elastic Defend registry events to examine registry keys accessed, modified, or created by the related processes in the process tree. + - Examine the host services for suspicious or anomalous entries. + - !{osquery{"label":"Osquery - Retrieve All Services","query":"SELECT description, display_name, name, path, pid, service_type, start_type, status, user_account FROM services"}} + - !{osquery{"label":"Osquery - Retrieve Services Running on User Accounts","query":"SELECT description, display_name, name, path, pid, service_type, start_type, status, user_account FROM services WHERE\nNOT (user_account LIKE '%LocalSystem' OR user_account LIKE '%LocalService' OR user_account LIKE '%NetworkService' OR\nuser_account == null)\n"}} + - !{osquery{"label":"Osquery - Retrieve Service Unsigned Executables with Virustotal Link","query":"SELECT concat('https://www.virustotal.com/gui/file/', sha1) AS VtLink, name, description, start_type, status, pid,\nservices.path FROM services JOIN authenticode ON services.path = authenticode.path OR services.module_path =\nauthenticode.path JOIN hash ON services.path = hash.path WHERE authenticode.result != 'trusted'\n"}} +- Using the data collected through the analysis, scope users targeted and other machines infected in the environment. + +### False Positive Analysis + +- False positives might occur after large and publicly written campaigns if curious employees interact with attacker infrastructure. +- Some feeds may include internal or known benign addresses by mistake (e.g., 8.8.8.8, google.com, 127.0.0.1, etc.). Make sure you understand how blocking a specific domain or address might impact the organization or normal system functioning. + +### Response and Remediation + +- Initiate the incident response process based on the outcome of the triage. +- Isolate the involved host to prevent further post-compromise behavior. +- If the triage identified malware, search the environment for additional compromised hosts. + - Implement temporary network rules, procedures, and segmentation to contain the malware. + - Stop suspicious processes. + - Immediately block the identified indicators of compromise (IoCs). + - Inspect the affected systems for additional malware backdoors like reverse shells, reverse proxies, or droppers that attackers could use to reinfect the system. +- Consider reporting the address for abuse using the provided contact information. +- Remove and block malicious artifacts identified during triage. +- Run a full antimalware scan. This may reveal additional artifacts left in the system, persistence mechanisms, and malware components. +- Determine the initial vector abused by the attacker and take action to prevent reinfection through the same vector. +- Using the incident response data, update logging and audit policies to improve the mean time to detect (MTTD) and the mean time to respond (MTTR). + +This rule needs threat intelligence indicators to work. Threat intelligence indicators can be collected using an {security-guide}/es-threat-intel-integrations.html#agent-ti-integration[Threat Intel module], the {security-guide}/es-threat-intel-integrations.html#ti-mod-integration[Threat Intel module], or a {security-guide}/es-threat-intel-integrations.html#custom-ti-integration[custom integration]. + +More information can be found {security-guide}/es-threat-intel-integrations.html[here]. +---------------------------------- + +==== Rule query + + +[source, js] +---------------------------------- +url.full:* + +---------------------------------- diff --git a/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-threat-intel-windows-registry-indicator-match.asciidoc b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-threat-intel-windows-registry-indicator-match.asciidoc new file mode 100644 index 0000000000..8537c54afc --- /dev/null +++ b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-threat-intel-windows-registry-indicator-match.asciidoc @@ -0,0 +1,113 @@ +[[prebuilt-rule-8-7-13-threat-intel-windows-registry-indicator-match]] +=== Threat Intel Windows Registry Indicator Match + +This rule is triggered when a Windows registry indicator from the Threat Intel Filebeat module or integrations has a match against an event that contains registry data. + +*Rule type*: threat_match + +*Rule indices*: + +* auditbeat-* +* endgame-* +* filebeat-* +* logs-* +* winlogbeat-* + +*Severity*: critical + +*Risk score*: 99 + +*Runs every*: 1h + +*Searches indices from*: now-65m ({ref}/common-options.html#date-math[Date Math format], see also <>) + +*Maximum alerts per execution*: 100 + +*References*: + +* https://www.elastic.co/guide/en/beats/filebeat/current/filebeat-module-threatintel.html +* https://www.elastic.co/guide/en/security/master/es-threat-intel-integrations.html +* https://www.elastic.co/security/tip + +*Tags*: + +* OS: Windows +* Data Source: Elastic Endgame +* Rule Type: Indicator Match + +*Version*: 3 + +*Rule authors*: + +* Elastic + +*Rule license*: Elastic License v2 + + +==== Investigation guide + + +[source, markdown] +---------------------------------- +## Triage and Analysis + +### Investigating Threat Intel Windows Registry Indicator Match + +Threat Intel indicator match rules allow matching from a local observation, such as an endpoint event that records a file hash with an entry of a file hash stored within the Threat Intel integrations index. + +Matches are based on threat intelligence data that's been ingested during the last 30 days. Some integrations don't place expiration dates on their threat indicators, so we strongly recommend validating ingested threat indicators and reviewing match results. When reviewing match results, check associated activity to determine whether the event requires additional investigation. + +This rule is triggered when a Windows registry indicator from the Threat Intel Filebeat module or a threat intelligence integration matches against an event that contains registry data. + +> **Note**: +> This investigation guide uses the {security-guide}/invest-guide-run-osquery.html[Osquery Markdown Plugin]) introduced in Elastic Stack version 8.5.0. Older Elastic Stack versions will display unrendered Markdown in this guide. + +#### Possible investigation steps + +- Check related threat reports to gain context about the registry indicator of compromise (IoC) and to understand if it's a system-native mechanism abused for persistence, to store data, to disable security mechanisms, etc. Use this information to define the appropriate triage and respond steps. +- Identify the process responsible for the registry operation and investigate the process execution chain (parent process tree) for unknown processes. Examine their executable files for prevalence, whether they are located in expected locations, and if they are signed with valid digital signatures. +- Retrieve the involved process executable and examine the host for derived artifacts that indicate suspicious activities: + - Analyze the process executable using a private sandboxed analysis system. + - Observe and collect information about the following activities in both the sandbox and the alert subject host: + - Attempts to contact external domains and addresses. + - Use the Elastic Defend network events to determine domains and addresses contacted by the subject process by filtering by the process' `process.entity_id`. + - Examine the DNS cache for suspicious or anomalous entries. + - !{osquery{"label":"Osquery - Retrieve DNS Cache","query":"SELECT * FROM dns_cache"}} + - Use the Elastic Defend registry events to examine registry keys accessed, modified, or created by the related processes in the process tree. + - Examine the host services for suspicious or anomalous entries. + - !{osquery{"label":"Osquery - Retrieve All Services","query":"SELECT description, display_name, name, path, pid, service_type, start_type, status, user_account FROM services"}} + - !{osquery{"label":"Osquery - Retrieve Services Running on User Accounts","query":"SELECT description, display_name, name, path, pid, service_type, start_type, status, user_account FROM services WHERE\nNOT (user_account LIKE '%LocalSystem' OR user_account LIKE '%LocalService' OR user_account LIKE '%NetworkService' OR\nuser_account == null)\n"}} + - !{osquery{"label":"Osquery - Retrieve Service Unsigned Executables with Virustotal Link","query":"SELECT concat('https://www.virustotal.com/gui/file/', sha1) AS VtLink, name, description, start_type, status, pid,\nservices.path FROM services JOIN authenticode ON services.path = authenticode.path OR services.module_path =\nauthenticode.path JOIN hash ON services.path = hash.path WHERE authenticode.result != 'trusted'\n"}} +- Using the data collected through the analysis, scope users targeted and other machines infected in the environment. + +### False Positive Analysis + +- Adversaries can leverage dual-use registry mechanisms that are commonly used by normal applications. These registry keys can be added into indicator lists creating the potential for false positives. + +### Response and Remediation + +- Initiate the incident response process based on the outcome of the triage. +- Isolate the involved host to prevent further post-compromise behavior. +- If the triage identified malware, search the environment for additional compromised hosts. + - Implement temporary network rules, procedures, and segmentation to contain the malware. + - Stop suspicious processes. + - Immediately block the identified indicators of compromise (IoCs). + - Inspect the affected systems for additional malware backdoors like reverse shells, reverse proxies, or droppers that attackers could use to reinfect the system. +- Remove and block malicious artifacts identified during triage. +- Run a full antimalware scan. This may reveal additional artifacts left in the system, persistence mechanisms, and malware components. +- Determine the initial vector abused by the attacker and take action to prevent reinfection through the same vector. +- Using the incident response data, update logging and audit policies to improve the mean time to detect (MTTD) and the mean time to respond (MTTR). + +This rule needs threat intelligence indicators to work. Threat intelligence indicators can be collected using an {security-guide}/es-threat-intel-integrations.html#agent-ti-integration[Threat Intel module], the {security-guide}/es-threat-intel-integrations.html#ti-mod-integration[Threat Intel module], or a {security-guide}/es-threat-intel-integrations.html#custom-ti-integration[custom integration]. + +More information can be found {security-guide}/es-threat-intel-integrations.html[here]. +---------------------------------- + +==== Rule query + + +[source, js] +---------------------------------- +registry.path:* + +---------------------------------- diff --git a/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-uncommon-registry-persistence-change.asciidoc b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-uncommon-registry-persistence-change.asciidoc new file mode 100644 index 0000000000..ebee36633b --- /dev/null +++ b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-uncommon-registry-persistence-change.asciidoc @@ -0,0 +1,140 @@ +[[prebuilt-rule-8-7-13-uncommon-registry-persistence-change]] +=== Uncommon Registry Persistence Change + +Detects changes to registry persistence keys that are not commonly used or modified by legitimate programs. This could be an indication of an adversary's attempt to persist in a stealthy manner. + +*Rule type*: eql + +*Rule indices*: + +* logs-endpoint.events.* + +*Severity*: medium + +*Risk score*: 47 + +*Runs every*: 5m + +*Searches indices from*: now-9m ({ref}/common-options.html#date-math[Date Math format], see also <>) + +*Maximum alerts per execution*: 100 + +*References*: + +* https://www.microsoftpressstore.com/articles/article.aspx?p=2762082&seqNum=2 + +*Tags*: + +* Domain: Endpoint +* OS: Windows +* Use Case: Threat Detection +* Tactic: Persistence +* Data Source: Elastic Defend + +*Version*: 105 + +*Rule authors*: + +* Elastic + +*Rule license*: Elastic License v2 + + +==== Rule query + + +[source, js] +---------------------------------- +registry where host.os.type == "windows" and + /* uncomment once stable length(registry.data.strings) > 0 and */ + registry.path : ( + "HKLM\\SOFTWARE\\Microsoft\\Windows NT\\CurrentVersion\\Terminal Server\\Install\\SOFTWARE\\Microsoft\\Windows\\CurrentVersion\\Run\\*", + "HKLM\\SOFTWARE\\Microsoft\\Windows NT\\CurrentVersion\\Terminal Server\\Install\\SOFTWARE\\Microsoft\\Windows\\CurrentVersion\\Runonce\\*", + "HKEY_USERS\\*\\SOFTWARE\\Microsoft\\Windows NT\\CurrentVersion\\Windows\\Load", + "HKEY_USERS\\*\\SOFTWARE\\Microsoft\\Windows NT\\CurrentVersion\\Windows\\Run", + "HKLM\\SOFTWARE\\Microsoft\\Windows NT\\CurrentVersion\\Windows\\IconServiceLib", + "HKLM\\SOFTWARE\\Microsoft\\Windows NT\\CurrentVersion\\Winlogon\\Shell", + "HKEY_USERS\\*\\SOFTWARE\\Microsoft\\Windows NT\\CurrentVersion\\Winlogon\\Shell", + "HKLM\\SOFTWARE\\Microsoft\\Windows NT\\CurrentVersion\\Winlogon\\AppSetup", + "HKLM\\SOFTWARE\\Microsoft\\Windows NT\\CurrentVersion\\Winlogon\\Taskman", + "HKLM\\SOFTWARE\\Microsoft\\Windows NT\\CurrentVersion\\Winlogon\\Userinit", + "HKLM\\SOFTWARE\\Microsoft\\Windows NT\\CurrentVersion\\Winlogon\\VmApplet", + "HKLM\\SOFTWARE\\Microsoft\\Windows\\CurrentVersion\\Policies\\Explorer\\Run\\*", + "HKLM\\SOFTWARE\\Microsoft\\Windows\\CurrentVersion\\Policies\\System\\Shell", + "HKLM\\SOFTWARE\\Policies\\Microsoft\\Windows\\System\\Scripts\\Logoff\\Script", + "HKLM\\SOFTWARE\\Policies\\Microsoft\\Windows\\System\\Scripts\\Logon\\Script", + "HKLM\\SOFTWARE\\Policies\\Microsoft\\Windows\\System\\Scripts\\Shutdown\\Script", + "HKLM\\SOFTWARE\\Policies\\Microsoft\\Windows\\System\\Scripts\\Startup\\Script", + "HKEY_USERS\\*\\SOFTWARE\\Microsoft\\Windows\\CurrentVersion\\Policies\\Explorer\\Run\\*", + "HKEY_USERS\\*\\SOFTWARE\\Microsoft\\Windows\\CurrentVersion\\Policies\\System\\Shell", + "HKEY_USERS\\*\\SOFTWARE\\Policies\\Microsoft\\Windows\\System\\Scripts\\Logoff\\Script", + "HKEY_USERS\\*\\SOFTWARE\\Policies\\Microsoft\\Windows\\System\\Scripts\\Logon\\Script", + "HKEY_USERS\\*\\SOFTWARE\\Policies\\Microsoft\\Windows\\System\\Scripts\\Shutdown\\Script", + "HKEY_USERS\\*\\SOFTWARE\\Policies\\Microsoft\\Windows\\System\\Scripts\\Startup\\Script", + "HKLM\\SOFTWARE\\Microsoft\\Active Setup\\Installed Components\\*\\ShellComponent", + "HKLM\\SOFTWARE\\Microsoft\\Windows CE Services\\AutoStartOnConnect\\MicrosoftActiveSync", + "HKLM\\SOFTWARE\\Microsoft\\Windows CE Services\\AutoStartOnDisconnect\\MicrosoftActiveSync", + "HKLM\\SOFTWARE\\Microsoft\\Ctf\\LangBarAddin\\*\\FilePath", + "HKLM\\SOFTWARE\\Microsoft\\Internet Explorer\\Extensions\\*\\Exec", + "HKLM\\SOFTWARE\\Microsoft\\Internet Explorer\\Extensions\\*\\Script", + "HKLM\\SOFTWARE\\Microsoft\\Command Processor\\Autorun", + "HKEY_USERS\\*\\SOFTWARE\\Microsoft\\Ctf\\LangBarAddin\\*\\FilePath", + "HKEY_USERS\\*\\SOFTWARE\\Microsoft\\Internet Explorer\\Extensions\\*\\Exec", + "HKEY_USERS\\*\\SOFTWARE\\Microsoft\\Internet Explorer\\Extensions\\*\\Script", + "HKEY_USERS\\*\\SOFTWARE\\Microsoft\\Command Processor\\Autorun", + "HKEY_USERS\\*\\Control Panel\\Desktop\\scrnsave.exe", + "HKLM\\SOFTWARE\\Microsoft\\Windows NT\\CurrentVersion\\Image File Execution Options\\*\\VerifierDlls", + "HKLM\\SOFTWARE\\Microsoft\\Windows NT\\CurrentVersion\\Winlogon\\GpExtensions\\*\\DllName", + "HKLM\\SYSTEM\\ControlSet*\\Control\\SafeBoot\\AlternateShell", + "HKLM\\SYSTEM\\ControlSet*\\Control\\Terminal Server\\Wds\\rdpwd\\StartupPrograms", + "HKLM\\SYSTEM\\ControlSet*\\Control\\Terminal Server\\WinStations\\RDP-Tcp\\InitialProgram", + "HKLM\\SYSTEM\\ControlSet*\\Control\\Session Manager\\BootExecute", + "HKLM\\SYSTEM\\ControlSet*\\Control\\Session Manager\\SetupExecute", + "HKLM\\SYSTEM\\ControlSet*\\Control\\Session Manager\\Execute", + "HKLM\\SYSTEM\\ControlSet*\\Control\\Session Manager\\S0InitialCommand", + "HKLM\\SYSTEM\\ControlSet*\\Control\\ServiceControlManagerExtension", + "HKLM\\SYSTEM\\ControlSet*\\Control\\BootVerificationProgram\\ImagePath", + "HKLM\\SYSTEM\\Setup\\CmdLine", + "HKEY_USERS\\*\\Environment\\UserInitMprLogonScript") and + + not registry.data.strings : ("C:\\Windows\\system32\\userinit.exe", "cmd.exe", "C:\\Program Files (x86)\\*.exe", + "C:\\Program Files\\*.exe") and + not (process.name : "rundll32.exe" and registry.path : "*\\Software\\Microsoft\\Internet Explorer\\Extensions\\*\\Script") and + not process.executable : ("C:\\Windows\\System32\\msiexec.exe", + "C:\\Windows\\SysWOW64\\msiexec.exe", + "C:\\ProgramData\\Microsoft\\Windows Defender\\Platform\\*\\MsMpEng.exe", + "C:\\Program Files\\*.exe", + "C:\\Program Files (x86)\\*.exe") + +---------------------------------- + +*Framework*: MITRE ATT&CK^TM^ + +* Tactic: +** Name: Persistence +** ID: TA0003 +** Reference URL: https://attack.mitre.org/tactics/TA0003/ +* Technique: +** Name: Boot or Logon Autostart Execution +** ID: T1547 +** Reference URL: https://attack.mitre.org/techniques/T1547/ +* Sub-technique: +** Name: Registry Run Keys / Startup Folder +** ID: T1547.001 +** Reference URL: https://attack.mitre.org/techniques/T1547/001/ +* Technique: +** Name: Event Triggered Execution +** ID: T1546 +** Reference URL: https://attack.mitre.org/techniques/T1546/ +* Sub-technique: +** Name: Screensaver +** ID: T1546.002 +** Reference URL: https://attack.mitre.org/techniques/T1546/002/ +* Tactic: +** Name: Defense Evasion +** ID: TA0005 +** Reference URL: https://attack.mitre.org/tactics/TA0005/ +* Technique: +** Name: Modify Registry +** ID: T1112 +** Reference URL: https://attack.mitre.org/techniques/T1112/ diff --git a/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-unusual-parent-process-for-cmd-exe.asciidoc b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-unusual-parent-process-for-cmd-exe.asciidoc new file mode 100644 index 0000000000..9a9d85ec51 --- /dev/null +++ b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rule-8-7-13-unusual-parent-process-for-cmd-exe.asciidoc @@ -0,0 +1,97 @@ +[[prebuilt-rule-8-7-13-unusual-parent-process-for-cmd-exe]] +=== Unusual Parent Process for cmd.exe + +Identifies a suspicious parent child process relationship with cmd.exe descending from an unusual process. + +*Rule type*: eql + +*Rule indices*: + +* winlogbeat-* +* logs-endpoint.events.* +* logs-windows.* +* endgame-* + +*Severity*: medium + +*Risk score*: 47 + +*Runs every*: 5m + +*Searches indices from*: now-9m ({ref}/common-options.html#date-math[Date Math format], see also <>) + +*Maximum alerts per execution*: 100 + +*References*: None + +*Tags*: + +* Domain: Endpoint +* OS: Windows +* Use Case: Threat Detection +* Tactic: Execution +* Data Source: Elastic Endgame +* Data Source: Elastic Defend + +*Version*: 107 + +*Rule authors*: + +* Elastic + +*Rule license*: Elastic License v2 + + +==== Investigation guide + + +[source, markdown] +---------------------------------- + +---------------------------------- + +==== Rule query + + +[source, js] +---------------------------------- +process where host.os.type == "windows" and event.type == "start" and + process.name : "cmd.exe" and + process.parent.name : ("lsass.exe", + "csrss.exe", + "epad.exe", + "regsvr32.exe", + "dllhost.exe", + "LogonUI.exe", + "wermgr.exe", + "spoolsv.exe", + "jucheck.exe", + "jusched.exe", + "ctfmon.exe", + "taskhostw.exe", + "GoogleUpdate.exe", + "sppsvc.exe", + "sihost.exe", + "slui.exe", + "SIHClient.exe", + "SearchIndexer.exe", + "SearchProtocolHost.exe", + "FlashPlayerUpdateService.exe", + "WerFault.exe", + "WUDFHost.exe", + "unsecapp.exe", + "wlanext.exe" ) and + not (process.parent.name : "dllhost.exe" and process.parent.args : "/Processid:{CA8C87C1-929D-45BA-94DB-EF8E6CB346AD}") + +---------------------------------- + +*Framework*: MITRE ATT&CK^TM^ + +* Tactic: +** Name: Execution +** ID: TA0002 +** Reference URL: https://attack.mitre.org/tactics/TA0002/ +* Technique: +** Name: Command and Scripting Interpreter +** ID: T1059 +** Reference URL: https://attack.mitre.org/techniques/T1059/ diff --git a/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rules-8-7-13-appendix.asciidoc b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rules-8-7-13-appendix.asciidoc new file mode 100644 index 0000000000..b7740c2cef --- /dev/null +++ b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rules-8-7-13-appendix.asciidoc @@ -0,0 +1,18 @@ +["appendix",role="exclude",id="prebuilt-rule-8-7-13-prebuilt-rules-8-7-13-appendix"] += Downloadable rule update v8.7.13 + +This section lists all updates associated with version 8.7.13 of the Fleet integration *Prebuilt Security Detection Rules*. + + +include::prebuilt-rule-8-7-13-github-protected-branch-settings-changed.asciidoc[] +include::prebuilt-rule-8-7-13-github-repository-deleted.asciidoc[] +include::prebuilt-rule-8-7-13-network-activity-detected-via-cat.asciidoc[] +include::prebuilt-rule-8-7-13-potential-meterpreter-reverse-shell.asciidoc[] +include::prebuilt-rule-8-7-13-potential-reverse-shell-via-udp.asciidoc[] +include::prebuilt-rule-8-7-13-threat-intel-ip-address-indicator-match.asciidoc[] +include::prebuilt-rule-8-7-13-threat-intel-hash-indicator-match.asciidoc[] +include::prebuilt-rule-8-7-13-threat-intel-windows-registry-indicator-match.asciidoc[] +include::prebuilt-rule-8-7-13-threat-intel-url-indicator-match.asciidoc[] +include::prebuilt-rule-8-7-13-unusual-parent-process-for-cmd-exe.asciidoc[] +include::prebuilt-rule-8-7-13-uncommon-registry-persistence-change.asciidoc[] +include::prebuilt-rule-8-7-13-persistent-scripts-in-the-startup-directory.asciidoc[] diff --git a/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rules-8-7-13-summary.asciidoc b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rules-8-7-13-summary.asciidoc new file mode 100644 index 0000000000..3e51dd3e3c --- /dev/null +++ b/docs/detections/prebuilt-rules/downloadable-packages/8-7-13/prebuilt-rules-8-7-13-summary.asciidoc @@ -0,0 +1,36 @@ +[[prebuilt-rule-8-7-13-prebuilt-rules-8-7-13-summary]] +[role="xpack"] +== Update v8.7.13 + +This section lists all updates associated with version 8.7.13 of the Fleet integration *Prebuilt Security Detection Rules*. + + +[width="100%",options="header"] +|============================================== +|Rule |Description |Status |Version + +|<> | This rule detects setting modifications for protected branches of a GitHub repository. Branch protection rules can be used to enforce certain workflows or requirements before a contributor can push changes to a branch in your repository. Changes to these protected branch settings should be investigated and verified as legitimate activity. Unauthorized changes could be used to lower your organization's security posture and leave you exposed for future attacks. | new | 1 + +|<> | This rule detects when a GitHub repository is deleted within your organization. Repositories are a critical component used within an organization to manage work, collaborate with others and release products to the public. Any delete action against a repository should be investigated to determine it's validity. Unauthorized deletion of organization repositories could cause irreversible loss of intellectual property and indicate compromise within your organization. | new | 1 + +|<> | This rule monitors for the execution of the cat command, followed by a connection attempt by the same process. Cat is capable of transfering data via tcp/udp channels by redirecting its read output to a /dev/tcp or /dev/udp channel. This activity is highly suspicious, and should be investigated. Attackers may leverage this capability to transfer tools or files to another host in the network or exfiltrate data while attempting to evade detection in the process. | new | 1 + +|<> | This detection rule identifies a sample of suspicious Linux system file reads used for system fingerprinting, leveraged by the Metasploit Meterpreter shell to gather information about the target that it is executing its shell on. Detecting this pattern is indicative of a successful meterpreter shell connection. | new | 1 + +|<> | This detection rule identifies suspicious network traffic patterns associated with UDP reverse shell activity. This activity consists of a sample of an execve, socket and connect syscall executed by the same process, where the auditd.data.a0-1 indicate a UDP connection, ending with an egress connection event. An attacker may establish a Linux UDP reverse shell to bypass traditional firewall restrictions and gain remote access to a target system covertly. | new | 1 + +|<> | This rule is triggered when an IP address indicator from the Threat Intel Filebeat module or integrations has a match against a network event. | update | 3 + +|<> | This rule is triggered when a hash indicator from the Threat Intel Filebeat module or integrations has a match against an event that contains file hashes, such as antivirus alerts, process creation, library load, and file operation events. | update | 4 + +|<> | This rule is triggered when a Windows registry indicator from the Threat Intel Filebeat module or integrations has a match against an event that contains registry data. | update | 3 + +|<> | This rule is triggered when a URL indicator from the Threat Intel Filebeat module or integrations has a match against an event that contains URL data, like DNS events, network logs, etc. | update | 3 + +|<> | Identifies a suspicious parent child process relationship with cmd.exe descending from an unusual process. | update | 107 + +|<> | Detects changes to registry persistence keys that are not commonly used or modified by legitimate programs. This could be an indication of an adversary's attempt to persist in a stealthy manner. | update | 105 + +|<> | Identifies script engines creating files in the Startup folder, or the creation of script files in the Startup folder. Adversaries may abuse this technique to maintain persistence in an environment. | update | 108 + +|============================================== diff --git a/docs/detections/prebuilt-rules/prebuilt-rules-downloadable-updates.asciidoc b/docs/detections/prebuilt-rules/prebuilt-rules-downloadable-updates.asciidoc index 29a851638f..2e79504f72 100644 --- a/docs/detections/prebuilt-rules/prebuilt-rules-downloadable-updates.asciidoc +++ b/docs/detections/prebuilt-rules/prebuilt-rules-downloadable-updates.asciidoc @@ -13,6 +13,13 @@ For previous rule updates, please navigate to the https://www.elastic.co/guide/e |Update version |Date | New rules | Updated rules | Notes +|<> | 18 Sep 2023 | 5 | 7 | +This release includes new rules for Windows, Linux and Github. +Github rules have officially been added to the prebuilt rules package. +New rules for Windows include additional detection for suspicious shorcut files, WMI execution and persistence via Office documents. +Regarding, Linux include additional detection for reverse shells via UDP and Meterpreter. +Windows rules have been tuned for better rule efficacy. + |<> | 07 Sep 2023 | 14 | 505 | This release includes new rules for Windows, Linux and macOS. New rules for Windows include additional detection for LOLBins, credential access and defense evasion. @@ -121,3 +128,4 @@ include::downloadable-packages/8-7-9/prebuilt-rules-8-7-9-summary.asciidoc[level include::downloadable-packages/8-7-10/prebuilt-rules-8-7-10-summary.asciidoc[leveloffset=+1] include::downloadable-packages/8-7-11/prebuilt-rules-8-7-11-summary.asciidoc[leveloffset=+1] include::downloadable-packages/8-7-12/prebuilt-rules-8-7-12-summary.asciidoc[leveloffset=+1] +include::downloadable-packages/8-7-13/prebuilt-rules-8-7-13-summary.asciidoc[leveloffset=+1] diff --git a/docs/detections/prebuilt-rules/prebuilt-rules-reference.asciidoc b/docs/detections/prebuilt-rules/prebuilt-rules-reference.asciidoc index 7d57f31acf..2f3af61815 100644 --- a/docs/detections/prebuilt-rules/prebuilt-rules-reference.asciidoc +++ b/docs/detections/prebuilt-rules/prebuilt-rules-reference.asciidoc @@ -318,6 +318,8 @@ and their rule type is `machine_learning`. |<> |Both ~/.bash_profile and ~/.bashrc are files containing shell commands that are run when Bash is invoked. These files are executed in a user's context, either interactively or non-interactively, when a user logs in so that their environment is set correctly. Adversaries may abuse this to establish persistence by executing malicious content triggered by a user’s shell. |[Domain: Endpoint], [OS: macOS], [OS: Linux], [Use Case: Threat Detection], [Tactic: Persistence], [Data Source: Elastic Defend] |8.3.0 |103 +|<> |Attackers may abuse cmd.exe commands to reassemble binary fragments into a malicious payload. |[Domain: Endpoint], [OS: Windows], [Use Case: Threat Detection], [Tactic: Defense Evasion], [Data Source: Elastic Defend], [Rule Type: BBR] |8.3.0 |1 + |<> |Identifies the execution of a binary by root in Linux shared memory directories: (/dev/shm/, /run/shm/, /var/run/, /var/lock/). This activity is to be considered highly abnormal and should be investigated. Threat actors have placed executables used for persistence on high-uptime servers in these directories as system backdoors. |[Domain: Endpoint], [OS: Linux], [Use Case: Threat Detection], [Tactic: Execution], [Threat: BPFDoor], [Data Source: Elastic Endgame], [Data Source: Elastic Defend] |8.3.0 |106 |<> |Windows Background Intelligent Transfer Service (BITS) is a low-bandwidth, asynchronous file transfer mechanism. Adversaries may abuse BITS to persist, download, execute, and even clean up after running malicious code. |[Domain: Endpoint], [OS: Windows], [Use Case: Threat Detection], [Tactic: Command and Control], [Data Source: Elastic Defend], [Rule Type: BBR] |8.3.0 |1 @@ -428,9 +430,9 @@ and their rule type is `machine_learning`. |<> |Detects when a domain is added to the list of trusted Google Workspace domains. An adversary may add a trusted domain in order to collect and exfiltrate data from their target’s organization with less restrictive security controls. |[Domain: Cloud], [Data Source: Google Workspace], [Use Case: Configuration Audit], [Tactic: Defense Evasion], [Resources: Investigation Guide] |8.4.0 |205 -|<> |Identifies .lnk shortcut file downloaded from outside the local network. These shortcut files are commonly used in phishing campaigns. |[Domain: Endpoint], [OS: Windows], [Use Case: Threat Detection], [Tactic: Execution], [Data Source: Elastic Defend] |None |1 +|<> |Identifies .lnk shortcut file downloaded from outside the local network. These shortcut files are commonly used in phishing campaigns. |[Domain: Endpoint], [OS: Windows], [Use Case: Threat Detection], [Tactic: Execution], [Data Source: Elastic Defend], [Rule Type: BBR] |8.3.0 |1 -|<> |Identifies .url shortcut files downloaded from outside the local network. These shortcut files are commonly used in phishing campaigns. |[Domain: Endpoint], [OS: Windows], [Use Case: Threat Detection], [Tactic: Execution], [Data Source: Elastic Defend] |None |1 +|<> |Identifies .url shortcut files downloaded from outside the local network. These shortcut files are commonly used in phishing campaigns. |[Domain: Endpoint], [OS: Windows], [Use Case: Threat Detection], [Tactic: Execution], [Data Source: Elastic Defend], [Rule Type: BBR] |8.3.0 |1 |<> |Identifies the execution of macOS built-in commands used to dump user account hashes. Adversaries may attempt to dump credentials to obtain account login information in the form of a hash. These hashes can be cracked or leveraged for lateral movement. |[Domain: Endpoint], [OS: macOS], [Use Case: Threat Detection], [Tactic: Credential Access], [Data Source: Elastic Defend] |8.3.0 |104 @@ -598,6 +600,10 @@ and their rule type is `machine_learning`. |<> |Identifies when a Virtual Private Cloud (VPC) route is deleted in Google Cloud Platform (GCP). Google Cloud routes define the paths that network traffic takes from a virtual machine (VM) instance to other destinations. These destinations can be inside a Google VPC network or outside it. An adversary may delete a route in order to impact the flow of network traffic in their target's cloud environment. |[Domain: Cloud], [Data Source: GCP], [Data Source: Google Cloud Platform], [Use Case: Configuration Audit], [Tactic: Defense Evasion] |8.3.0 |104 +|<> |This rule detects setting modifications for protected branches of a GitHub repository. Branch protection rules can be used to enforce certain workflows or requirements before a contributor can push changes to a branch in your repository. Changes to these protected branch settings should be investigated and verified as legitimate activity. Unauthorized changes could be used to lower your organization's security posture and leave you exposed for future attacks. |[Domain: Cloud], [Use Case: Threat Detection], [Tactic: Defense Evasion], [Data Source: Github] |8.3.0 |1 + +|<> |This rule detects when a GitHub repository is deleted within your organization. Repositories are a critical component used within an organization to manage work, collaborate with others and release products to the public. Any delete action against a repository should be investigated to determine it's validity. Unauthorized deletion of organization repositories could cause irreversible loss of intellectual property and indicate compromise within your organization. |[Domain: Cloud], [Use Case: Threat Detection], [Tactic: Impact], [Data Source: Github] |8.3.0 |1 + |<> |Drive and Docs is a Google Workspace service that allows users to leverage Google Drive and Google Docs. Access to files is based on inherited permissions from the child organizational unit the user belongs to which is scoped by administrators. Typically if a user is removed, their files can be transferred to another user by the administrator. This service can also be abused by adversaries to transfer files to an adversary account for potential exfiltration. |[Domain: Cloud], [Data Source: Google Workspace], [Tactic: Collection], [Resources: Investigation Guide] |8.4.0 |106 |<> |Google Workspace admins may setup 2-step verification (2SV) to add an extra layer of security to user accounts by asking users to verify their identity when they use login credentials. Admins have the ability to enforce 2SV from the admin console as well as the methods acceptable for verification and enrollment period. 2SV requires enablement on admin accounts prior to it being enabled for users within organization units. Adversaries may disable 2SV to lower the security requirements to access a valid account. |[Domain: Cloud], [Data Source: Google Workspace], [Use Case: Configuration Audit], [Tactic: Persistence], [Resources: Investigation Guide] |8.4.0 |106 @@ -702,6 +708,8 @@ and their rule type is `machine_learning`. |<> |Adversaries may collect keychain storage data from a system to in order to acquire credentials. Keychains are the built-in way for macOS to keep track of users' passwords and credentials for many services and features, including Wi-Fi and website passwords, secure notes, certificates, and Kerberos. |[Domain: Endpoint], [OS: macOS], [Use Case: Threat Detection], [Tactic: Credential Access], [Data Source: Elastic Defend] |8.3.0 |104 +|<> |Identifies the creation of .kirbi files. The creation of this kind of file is an indicator of an attacker running Kerberos ticket dump utilities, such as Mimikatz, and precedes attacks such as Pass-The-Ticket (PTT), which allows the attacker to impersonate users using Kerberos tickets. |[Domain: Endpoint], [OS: Windows], [Use Case: Threat Detection], [Tactic: Credential Access], [Data Source: Elastic Defend], [Rule Type: BBR] |8.3.0 |1 + |<> |This rule detects when an unauthenticated user request is authorized within the cluster. Attackers may attempt to use anonymous accounts to gain initial access to the cluster or to avoid attribution of their activities within the cluster. This rule excludes the /healthz, /livez and /readyz endpoints which are commonly accessed anonymously. |[Data Source: Kubernetes], [Tactic: Execution], [Tactic: Initial Access], [Tactic: Defense Evasion] |8.4.0 |5 |<> |This rule detects a container deployed with one or more dangerously permissive Linux capabilities. An attacker with the ability to deploy a container with added capabilities could use this for further execution, lateral movement, or privilege escalation within a cluster. The capabilities detected in this rule have been used in container escapes to the host machine. |[Data Source: Kubernetes], [Tactic: Execution], [Tactic: Privilege Escalation] |8.4.0 |3 @@ -856,6 +864,8 @@ and their rule type is `machine_learning`. |<> |Detects attempts to modify or delete a sign on policy for an Okta application. An adversary may attempt to modify or delete the sign on policy for an Okta application in order to remove or weaken an organization's security controls. |[Tactic: Persistence], [Use Case: Identity and Access Audit], [Data Source: Okta] |8.3.0 |104 +|<> |Managed Object Format (MOF) files can be compiled locally or remotely through mofcomp.exe. Attackers may leverage MOF files to build their own namespaces and classes into the Windows Management Instrumentation (WMI) repository, or establish persistence using WMI Event Subscription. |[Domain: Endpoint], [OS: Windows], [Use Case: Threat Detection], [Tactic: Execution], [Data Source: Elastic Defend], [Rule Type: BBR] |8.3.0 |1 + |<