Join our Newsletter — 33% off our NHI Course
Home› FAQ› Threats, Abuse & Incident Response› How can security teams detect RawDisk?
Threats, Abuse & Incident Response

How can security teams detect RawDisk?

← Back to all FAQ
By NHI Mgmt Group Editorial Team Updated October 18, 2026 Domain: Threats, Abuse & Incident Response

Detect RawDisk by monitoring for unexpected low-level disk access from processes that should not touch physical devices directly. Review driver loading, service creation, and any use of raw device handles during intrusion activity. On endpoints, alert when administrative or attacker tools try to read or modify disks outside approved maintenance workflows.

What RawDisk detection looks like in practice

RawDisk detection is less about a single signature and more about spotting behaviour that bypasses normal file and volume access paths. Security teams should focus on processes that unexpectedly open physical disks, use raw device handles, or interact with storage in ways that do not fit the host’s normal role. That usually means correlating endpoint telemetry with driver load events, service creation, and privileged tooling activity.

Because RawDisk techniques operate below the file system layer, defenders often miss them if they only watch for file writes, malware hashes, or common process injection patterns. The key question is whether a process that should behave like an application, script, or admin utility suddenly touches disk objects directly, especially outside a maintenance window.

A practical detection program should also distinguish legitimate disk utilities from suspicious usage. Backup agents, storage management tools, forensic software, and patch workflows can create similar telemetry, so the analyst needs context from host role, operator identity, timing, and the expected change process before escalating.

Signals that usually expose RawDisk activity

The strongest signals are unusual combinations, not a single event. A raw disk access alert becomes more meaningful when it appears alongside a new driver installation, a recently created service, privileged command execution, or lateral movement activity on the same endpoint. That cluster suggests an attacker is trying to gain low-level access before tampering with data, disabling security tools, or staging destructive action.

On Windows endpoints, watch for device access patterns that target physical drives, volume shadows, or disk interfaces from processes that do not normally need them. Also look for administrative binaries launched from odd locations, renamed utilities, or scripts that spawn storage-oriented commands shortly before the disk access begins.

Malware Guide is a useful starting point when you need to compare disk-level behaviour with broader loader, RAT, and evasion patterns that often accompany low-level access.

How to tune monitoring so RawDisk alerts are useful

High-fidelity detection depends on baselining what disk access should look like on each class of system. Workstations, servers, hypervisors, and forensic jump hosts do not generate the same storage telemetry, so a generic “raw handle opened” alert is usually too noisy unless you tie it to asset role and authorised workflow. The best detections are context aware and scoped to systems where direct device access should be rare.

Make sure your logging covers driver loads, service creation, process ancestry, and command-line context, then join that data with EDR or SIEM alerts for disk operations. If you can see which user, process tree, and execution path led to the disk access, you can more quickly separate maintenance activity from attacker tradecraft.

For teams building a broader detection strategy, NIST Cybersecurity Framework 2.0 helps structure the detection function around observable behaviour, while MITRE ATT&CK Enterprise Matrix helps map raw disk access to the surrounding intrusion chain. For operational logging and endpoint control depth, NIST SP 800-53 Rev 5 Security and Privacy Controls provides a practical control reference for monitoring, auditability, and system integrity.

Standards & Framework Alignment

This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.

MITRE ATT&CK addresses the attack and risk surface, while NIST CSF 2.0 and NIST SP 800-53 Rev 5 set the governance and control requirements practitioners need to meet.

FrameworkControl / ReferenceRelevance
MITRE ATT&CKT1005 — Data from Local SystemRawDisk is used to read or alter local disk data outside normal file access.
Recommendation — Map raw disk reads and writes to local-data access techniques and hunt for associated staging activity.
NIST CSF 2.0DE.CM-01 — Networks and systems are monitored to detect potential cybersecurity eventsRawDisk detection depends on continuous monitoring of unusual disk, driver, and service activity.
Recommendation — Monitor endpoint telemetry for abnormal disk access, driver loads, and service creation events.
NIST SP 800-53 Rev 5AU-6 — Audit Record Review, Analysis, and ReportingRawDisk detection relies on analyzing audit data from processes, drivers, and device access.
Recommendation — Correlate audit records to identify low-level disk access that lacks an approved maintenance context.

Practitioner Guidance

What to prioritise: Start with endpoints where raw disk access would be abnormal, such as user workstations, app servers, and internet-facing systems. A low-level disk alert on a maintenance host is a different event from the same alert on a business user laptop.

What to verify: Confirm whether the process, driver, or service belongs to an approved change, backup, forensic, or patch workflow. If you cannot tie the event to an authorised task and an expected operator, treat it as suspicious until proven otherwise.

Decision rule: If raw disk access appears with a new driver, a newly created service, or other intrusion indicators, escalate immediately and preserve host evidence before remediation. The combination is more important than any single telemetry point.

Practitioner takeaway: RawDisk detection works best when you hunt for abnormal device access in context, not as an isolated alert. The most useful outcome is an event that tells you not just that the disk was touched, but whether that touch fits the host’s authorised operating model.

Free weekly newsletter

Subscribe to the NHI & AI Identity Journal

The latest on NHI and Agentic AI security – articles, research, breaches, news and events every week.

Bonus 33% off our NHI Course when you subscribe.

NHIMG Editorial Note
Reviewed and updated by the NHIMG editorial team on October 18, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org