AN1417: Analytic 1417
Detects adversary behavior accessing Windows cached domain credential files using tools like Mimikatz, reg.exe, or PowerShell, often combined with registry exports or LSASS memory scraping.
Analyst context for executives and security teams
This analytic matters because attempts to access Windows cached domain credential material can be an early warning that an intruder is trying to turn one compromised host into broader identity compromise. For leaders, the value is not just detecting a tool name such as Mimikatz, reg.exe, or PowerShell; it is validating whether the organization can see sensitive credential access patterns on Windows endpoints before they become domain-wide incident-response problems.
Executive priority
Prioritize this as an identity and incident-readiness control validation item for Windows environments. Security leaders should ask whether endpoint telemetry, privileged account monitoring, and response playbooks can reliably identify suspicious access to cached domain credential files, registry export activity, and LSASS-related credential access indicators. This supports business continuity by reducing the chance that a workstation or server compromise becomes a broader authentication and access-control crisis. It can also provide useful compliance evidence around credential protection monitoring and privileged access oversight.
Technical view
For SOC, detection engineering, and IR teams, treat AN1417 as a Windows-focused analytic concept for suspicious access to cached domain credential material, especially when associated with Mimikatz-like behavior, reg.exe, PowerShell, registry exports, or LSASS memory scraping. Because no official detection logic is supplied, teams should validate local data sources and build behavior-based detections rather than relying only on process names. Useful validation includes correlating process execution, command-line/script activity, registry access or export events, sensitive file access, and LSASS access telemetry where available. Analysts should account for legitimate administrative or forensic activity that may use similar Windows utilities.
Likely telemetry
- Windows endpoint process creation events, including command line where collected
- PowerShell execution and script block or module logging where enabled
- Registry access, query, save, or export activity telemetry
- File access events for Windows credential cache-related artifacts where available
- LSASS process access or memory access telemetry from endpoint security controls
Detection direction
- Validate that Windows endpoint telemetry includes command-line detail for reg.exe, PowerShell, and other credential-access tooling indicators.
- Tune detections around behavior chains: credential-related file or registry access combined with registry export activity, PowerShell execution, or LSASS memory access.
- Avoid depending only on known tool names, because the supplied analytic references example tools but the underlying behavior is access to cached domain credential material.
- Define allowlists or approval context for legitimate administration, backup, troubleshooting, or forensic collection that may resemble registry export or credential inspection activity.
- Correlate host-level alerts with identity context, such as whether the user or process had a legitimate administrative reason to access credential-related material.
Mitigation priorities
- Reduce unnecessary local administrative privileges on Windows endpoints and servers to limit who can access credential-related material.
- Harden credential protection and endpoint controls that restrict or alert on LSASS memory access and sensitive registry or file access.
- Enable and retain the Windows endpoint logging needed to investigate process execution, PowerShell activity, registry activity, and sensitive process access.
- Establish response playbooks for suspected credential access that include host isolation decisions, credential reset scope, privileged account review, and domain impact assessment.
- Review legitimate administrative procedures that export registry data or inspect credentials so they are documented, approved, and distinguishable from suspicious activity.
Analyst notes and limits
The supplied object is a detection analytic, not a full ATT&CK technique entry. It is useful as a coverage validation prompt for Windows credential-access monitoring, particularly where cached domain credential files, registry exports, PowerShell, reg.exe, Mimikatz-like tooling, or LSASS memory scraping are in scope. No tactic, relationship context, or official detection logic is provided, so local engineering judgment is required.
This take uses only the supplied STIX fields and external reference. ATT&CK did not provide official detection logic, related techniques, relationships, tactics, or procedure examples in the supplied object. The recommendations therefore remain high-level and must be validated against the organization’s actual Windows logging, endpoint security tooling, administrative practices, and response requirements.
Analytic 1417
Detects adversary behavior accessing Windows cached domain credential files using tools like Mimikatz, reg.exe, or PowerShell, often combined with registry exports or LSASS memory scraping.
How security teams should use this page
Treat this object as behavior context, not an attribution claim. Validate the related groups, software, data sources, and mitigations against official ATT&CK relationships and your own telemetry before making control-coverage decisions.
All related ATT&CK context
No relationships are available in the current normalized data for this object.
Object version and sync metadata
The fields below describe the current mirrored snapshot. When Glexia retains multiple ATT&CK source imports, you can open the table to compare the same object across releases (hashes and MITRE timestamps). For MITRE’s own release notes and roadmap, see ATT&CK resources — Updates .
Imported snapshots across ATT&CK releases (1)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.1 | 1.0 | Current bundle | 74bc5289dc39… |
Mirrored ATT&CK source object
The raw object is retained through the mirrored ATT&CK source bundle and object hash. The raw endpoint returns the exact object from the mirrored bundle when available.
External references and citations
MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.
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mitre-attack AN1417Open source URL
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