IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Threat Intel Indicator Match
editThreat Intel Indicator Match
editThis rule is triggered when indicators from the Threat Intel integrations have a match against local file or network observations.
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 (Date Math format, see also Additional look-back time
)
Maximum alerts per execution: 100
References:
Tags:
- OS: Windows
- Data Source: Elastic Endgame
- Resources: Investigation Guide
Version: 104
Rule authors:
- Elastic
Rule license: Elastic License v2
Investigation guide
edit## Triage and Analysis ### Investigating Threat Intel Indicator Matches 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. 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. If an indicator matches a local observation, the following enriched fields will be generated to identify the indicator, field, and type matched. - `threat.indicator.matched.atomic` - this identifies the atomic indicator that matched the local observation - `threat.indicator.matched.field` - this identifies the indicator field that matched the local observation - `threat.indicator.matched.type` - this identifies the indicator type that matched the local observation #### Possible investigation steps: - 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. - 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. - Consider the user and their role within the company: is this something related to their job or work function? ### False Positive Analysis - 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. - 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. - It's possible after large and publicly written campaigns, curious employees might end up going directly to attacker infrastructure and triggering these rules. ### Response and Remediation - If suspicious or malicious behavior is observed, take immediate action to isolate activity to prevent further post-compromise behavior. - 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. - 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.
Rule query
editfile.hash.*:* or file.pe.imphash:* or source.ip:* or destination.ip:* or url.full:* or registry.path:*