Jonhnathan
b4c84e8a40
* Update Tags * Bump updated date separately to be easy to revert if needed * Update resource_development_ml_linux_anomalous_compiler_activity.toml * Apply changes from the discussion * Update persistence_init_d_file_creation.toml * Update defense_evasion_timestomp_sysmon.toml * Update defense_evasion_application_removed_from_blocklist_in_google_workspace.toml * Update missing Tactic tags * Update unit tests to match new tags * Add missing IG tags * Delete okta_threat_detected_by_okta_threatinsight.toml * Update command_and_control_google_drive_malicious_file_download.toml * Update persistence_rc_script_creation.toml * Mass bump * Update persistence_shell_activity_by_web_server.toml * . --------- Co-authored-by: Mika Ayenson <Mika.ayenson@elastic.co> Co-authored-by: Mika Ayenson <Mikaayenson@users.noreply.github.com>
171 lines
6.7 KiB
TOML
171 lines
6.7 KiB
TOML
[metadata]
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creation_date = "2021/04/21"
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maturity = "production"
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updated_date = "2023/06/22"
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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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[rule]
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author = ["Elastic"]
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description = """
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This rule is triggered when indicators from the Threat Intel integrations have a match against local file or network observations.
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"""
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from = "now-65m"
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index = ["auditbeat-*", "endgame-*", "filebeat-*", "logs-*", "packetbeat-*", "winlogbeat-*"]
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interval = "1h"
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language = "kuery"
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license = "Elastic License v2"
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name = "Threat Intel Indicator Match"
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note = """## Triage and Analysis
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### Investigating Threat Intel Indicator Matches
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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. Matches can also occur on an IP address, registry path, URL, or imphash.
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The matches will be based on the incoming last 30 days feed data so it's important to validate the data and review the results by investigating the associated activity to determine if it requires further investigation.
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If an indicator matches a local observation, the following enriched fields will be generated to identify the indicator, field, and type matched.
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- `threat.indicator.matched.atomic` - this identifies the atomic indicator that matched the local observation
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- `threat.indicator.matched.field` - this identifies the indicator field that matched the local observation
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- `threat.indicator.matched.type` - this identifies the indicator type that matched the local observation
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#### Possible investigation steps:
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- Investigation should be validated and reviewed based on the data (file hash, registry path, URL, imphash) that was matched and by viewing the source of that activity.
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- Consider the history of the indicator that was matched. Has it happened before? Is it happening on multiple machines? These kinds of questions can help understand if the activity is related to legitimate behavior.
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- Consider the user and their role within the company: is this something related to their job or work function?
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### False Positive Analysis
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- For any matches found, it's important to consider the initial release date of that indicator. Threat intelligence can be a great tool for augmenting existing security processes, while at the same time it should be understood that threat intelligence can represent a specific set of activity observed at a point in 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.
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- Adversaries often use legitimate tools as network administrators such as `PsExec` or `AdFind`; these tools often find their way into indicator lists creating the potential for false positives.
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- It's possible after large and publicly written campaigns, curious employees might end up going directly to attacker infrastructure and triggering these rules.
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### Response and Remediation
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- If suspicious or malicious behavior is observed, take immediate action to isolate activity to prevent further post-compromise behavior.
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- One example of a response if a machine matched a command and control IP address would be to add an entry to a network device such as a firewall or proxy appliance to prevent any outbound activity from leaving that machine.
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- Another example of a response with a malicious file hash match would involve validating if the file was properly quarantined, reviewing current running processes for any abnormal activity, and investigating for any other follow-up actions such as persistence or lateral movement.
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"""
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references = [ "https://www.elastic.co/guide/en/beats/filebeat/current/filebeat-module-threatintel.html"]
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risk_score = 99
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rule_id = "0c9a14d9-d65d-486f-9b5b-91e4e6b22bd0"
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severity = "critical"
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tags = ["OS: Windows", "Data Source: Elastic Endgame", "Resources: Investigation Guide"]
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timeline_id = "495ad7a7-316e-4544-8a0f-9c098daee76e"
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timeline_title = "Generic Threat Match Timeline"
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type = "threat_match"
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threat_index = [ "logs-ti_*"]
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threat_indicator_path = "threat.indicator"
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threat_language = "kuery"
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threat_query = '''
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@timestamp >= "now-30d/d" and event.dataset:ti_* and
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(threat.indicator.file.hash.*:* or threat.indicator.file.pe.imphash:* or threat.indicator.ip:* or
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threat.indicator.registry.path:* or threat.indicator.url.full:*)
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'''
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query = """
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file.hash.*:* or file.pe.imphash:* or source.ip:* or destination.ip:* or url.full:* or registry.path:*
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"""
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[[rule.threat_filters]]
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[rule.threat_filters."$state"]
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store = "appState"
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[rule.threat_filters.meta]
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negate = false
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disabled = false
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type = "phrase"
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key = "event.dataset"
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[rule.threat_filters.meta.params]
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query = "ti_*"
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[rule.threat_filters.query.match_phrase]
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"event.dataset" = "ti_*"
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[[rule.threat_filters]]
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[rule.threat_filters."$state"]
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store = "appState"
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[rule.threat_filters.meta]
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negate = false
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disabled = false
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type = "phrase"
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key = "event.category"
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[rule.threat_filters.meta.params]
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query = "threat"
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[rule.threat_filters.query.match_phrase]
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"event.category" = "threat"
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[[rule.threat_filters]]
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[rule.threat_filters."$state"]
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store = "appState"
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[rule.threat_filters.meta]
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negate = false
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disabled = false
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type = "phrase"
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key = "event.kind"
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[rule.threat_filters.meta.params]
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query = "enrichment"
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[rule.threat_filters.query.match_phrase]
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"event.kind" = "enrichment"
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[[rule.threat_filters]]
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[rule.threat_filters."$state"]
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store = "appState"
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[rule.threat_filters.meta]
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negate = false
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disabled = false
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type = "phrase"
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key = "event.type"
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[rule.threat_filters.meta.params]
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query = "indicator"
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[rule.threat_filters.query.match_phrase]
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"event.type" = "indicator"
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[[rule.threat_mapping]]
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[[rule.threat_mapping.entries]]
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field = "file.hash.md5"
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type = "mapping"
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value = "threat.indicator.file.hash.md5"
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[[rule.threat_mapping]]
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[[rule.threat_mapping.entries]]
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field = "file.hash.sha1"
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type = "mapping"
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value = "threat.indicator.file.hash.sha1"
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[[rule.threat_mapping]]
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[[rule.threat_mapping.entries]]
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field = "file.hash.sha256"
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type = "mapping"
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value = "threat.indicator.file.hash.sha256"
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[[rule.threat_mapping]]
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[[rule.threat_mapping.entries]]
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field = "file.pe.imphash"
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type = "mapping"
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value = "threat.indicator.file.pe.imphash"
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[[rule.threat_mapping]]
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[[rule.threat_mapping.entries]]
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field = "source.ip"
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type = "mapping"
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value = "threat.indicator.ip"
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[[rule.threat_mapping]]
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[[rule.threat_mapping.entries]]
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field = "destination.ip"
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type = "mapping"
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value = "threat.indicator.ip"
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[[rule.threat_mapping]]
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[[rule.threat_mapping.entries]]
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field = "url.full"
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type = "mapping"
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value = "threat.indicator.url.full"
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[[rule.threat_mapping]]
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[[rule.threat_mapping.entries]]
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field = "registry.path"
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type = "mapping"
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value = "threat.indicator.registry.path"
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