ac01718bb6
* [Rule Tuning] Add tags to flag Sysmon-only rules * Modify tags * Revert "Modify tags" This reverts commit 3d9267d171a41f727bb499501d71d5c4db4f0434. * Modify tags * Update test_all_rules.py * Update test_all_rules.py * Update test_all_rules.py * Update test_all_rules.py * Update test_all_rules.py
115 lines
5.4 KiB
TOML
115 lines
5.4 KiB
TOML
[metadata]
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creation_date = "2020/11/24"
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maturity = "production"
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min_stack_comments = "New fields added: required_fields, related_integrations, setup"
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min_stack_version = "8.3.0"
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updated_date = "2022/09/27"
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[rule]
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author = ["Elastic"]
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description = """
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Identifies the execution of known Windows utilities often abused to dump LSASS memory or the Active Directory database
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(NTDS.dit) in preparation for credential access.
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"""
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from = "now-9m"
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index = ["winlogbeat-*", "logs-endpoint.events.*", "logs-windows.*", "endgame-*"]
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language = "eql"
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license = "Elastic License v2"
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name = "Potential Credential Access via Windows Utilities"
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note = """## Triage and analysis
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### Investigating Potential Credential Access via Windows Utilities
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Local Security Authority Server Service (LSASS) is a process in Microsoft Windows operating systems that is responsible
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for enforcing security policy on the system. It verifies users logging on to a Windows computer or server, handles
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password changes, and creates access tokens.
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The `Ntds.dit` file is a database that stores Active Directory data, including information about user objects, groups, and
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group membership.
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This rule looks for the execution of utilities that can extract credential data from the LSASS memory and Active
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Directory `Ntds.dit` file.
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#### Possible investigation steps
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- Investigate the process execution chain (parent process tree) for unknown processes. Examine their executable files
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for prevalence, whether they are located in expected locations, and if they are signed with valid digital signatures.
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- Investigate abnormal behaviors observed by the subject process, such as network connections, registry or file
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modifications, and any spawned child processes.
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- Investigate other alerts associated with the user/host during the past 48 hours.
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- Examine the command line to identify what information was targeted.
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- Identify the target computer and its role in the IT environment.
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### False positive analysis
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- This activity is unlikely to happen legitimately. Any activity that triggered the alert and is not inherently malicious
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must be monitored by the security team.
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### Response and remediation
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- Initiate the incident response process based on the outcome of the triage.
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- If the host is a domain controller (DC):
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- Activate your incident response plan for total Active Directory compromise.
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- Review the privileges assigned to users that can access the DCs, to ensure that the least privilege principle is
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being followed and to reduce the attack surface.
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- Isolate the involved hosts to prevent further post-compromise behavior.
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- Investigate credential exposure on systems compromised or used by the attacker to ensure all compromised accounts are
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identified. Reset passwords for these accounts and other potentially compromised credentials, such as email, business
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systems, and web services.
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- Run a full antimalware scan. This may reveal additional artifacts left in the system, persistence mechanisms, and
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malware components.
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- Determine the initial vector abused by the attacker and take action to prevent reinfection through the same vector.
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- Using the incident response data, update logging and audit policies to improve the mean time to detect (MTTD) and the
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mean time to respond (MTTR).
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## Setup
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If enabling an EQL rule on a non-elastic-agent index (such as beats) for versions <8.2, events will not define `event.ingested` and default fallback for EQL rules was not added until 8.2, so you will need to add a custom pipeline to populate `event.ingested` to @timestamp for this rule to work.
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"""
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references = ["https://lolbas-project.github.io/"]
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risk_score = 73
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rule_id = "00140285-b827-4aee-aa09-8113f58a08f3"
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severity = "high"
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tags = ["Elastic", "Host", "Windows", "Threat Detection", "Credential Access", "Investigation Guide", "Elastic Endgame"]
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timestamp_override = "event.ingested"
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type = "eql"
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query = '''
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process where event.type == "start" and
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/* update here with any new lolbas with dump capability */
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(process.pe.original_file_name == "procdump" and process.args : "-ma") or
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(process.name : "ProcessDump.exe" and not process.parent.executable regex~ """C:\\Program Files( \(x86\))?\\Cisco Systems\\.*""") or
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(process.pe.original_file_name == "WriteMiniDump.exe" and not process.parent.executable regex~ """C:\\Program Files( \(x86\))?\\Steam\\.*""") or
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(process.pe.original_file_name == "RUNDLL32.EXE" and (process.args : "MiniDump*" or process.command_line : "*comsvcs.dll*#24*")) or
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(process.pe.original_file_name == "RdrLeakDiag.exe" and process.args : "/fullmemdmp") or
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(process.pe.original_file_name == "SqlDumper.exe" and process.args : "0x01100*") or
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(process.pe.original_file_name == "TTTracer.exe" and process.args : "-dumpFull" and process.args : "-attach") or
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(process.pe.original_file_name == "ntdsutil.exe" and process.args : "create*full*") or
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(process.pe.original_file_name == "diskshadow.exe" and process.args : "/s")
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'''
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[[rule.threat]]
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framework = "MITRE ATT&CK"
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[[rule.threat.technique]]
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id = "T1003"
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name = "OS Credential Dumping"
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reference = "https://attack.mitre.org/techniques/T1003/"
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[[rule.threat.technique.subtechnique]]
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id = "T1003.001"
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name = "LSASS Memory"
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reference = "https://attack.mitre.org/techniques/T1003/001/"
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[[rule.threat.technique.subtechnique]]
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id = "T1003.003"
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name = "NTDS"
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reference = "https://attack.mitre.org/techniques/T1003/003/"
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[rule.threat.tactic]
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id = "TA0006"
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name = "Credential Access"
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reference = "https://attack.mitre.org/tactics/TA0006/"
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