Potential Remote Credential Access via Registry

## Triage and analysis

### Investigating Potential Remote Credential Access via Registry

Dumping registry hives is a common way to access credential information. Some hives store credential material,
such as the SAM hive, which stores locally cached credentials (SAM secrets), and the SECURITY hive, which stores domain
cached credentials (LSA secrets). Dumping these hives in combination with the SYSTEM hive enables the attacker to
decrypt these secrets.

Attackers can use tools like secretsdump.py or CrackMapExec to dump the registry hives remotely, and use dumped
credentials to access other systems in the domain.

#### Possible investigation steps

- Identify the specifics of the involved assets, such as their role, criticality, and associated users.
- Identify the user account that performed the action and whether it should perform this kind of action.
- Determine the privileges of the compromised accounts.
- Investigate other alerts associated with the user/source host during the past 48 hours.
- Investigate potentially compromised accounts. Analysts can do this by searching for login events (e.g., 4624) to the target
host.

### False positive analysis

- This activity is unlikely to happen legitimately. Any activity that triggered the alert and is not inherently malicious
must be monitored by the security team.

### Related rules

- Credential Acquisition via Registry Hive Dumping - a7e7bfa3-088e-4f13-b29e-3986e0e756b8

### Response and remediation

- Initiate the incident response process based on the outcome of the triage.
- Isolate the involved hosts to prevent further post-compromise behavior.
- 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.
- Determine if other hosts were compromised.
- Run a full antimalware scan. This may reveal additional artifacts left in the system, persistence mechanisms, and
malware components.
- Reimage the host operating system or restore the compromised files to clean versions.
- Ensure that the machine has the latest security updates and is not running unsupported Windows versions.
- 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).

## Setup

This rule uses Elastic Endpoint file creation and system integration events for correlation. Both data should be
collected from the host for this detection to work.

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.