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MITRE ATT&CK® Detection Strategy

DET0389: Behavioral Detection of DLL Injection via Windows API

DET0389 is a detection strategy for identifying DLL injection behavior through Windows API activity. Its business value is that DLL injection can let malic...

EnterpriseDET0389Detection StrategyObject v1.0 Modified
Glexia's Take

Analyst context for executives and security teams

Analyst confidence Medium

DET0389 is a detection strategy for identifying DLL injection behavior through Windows API activity. Its business value is that DLL injection can let malicious code run inside another live process, which may weaken process-based defenses and support privilege escalation. For leaders, this is a coverage-validation item: confirm whether endpoint, SOC, and IR capabilities can see suspicious cross-process memory and execution behavior rather than relying only on process names or file alerts.

Executive priority

Prioritize this where Windows endpoint resilience, privileged access protection, and incident response confidence matter. The key decision question is whether the organization can produce audit-ready evidence that it monitors for code executing inside unexpected processes, especially where privilege-escalation or stealthy execution would materially affect business operations. Because the ATT&CK object provides no official detection logic, leaders should treat this as a validation requirement rather than proof of existing coverage.

Technical view

This strategy detects ATT&CK T1055.001, Dynamic-link Library Injection, associated with Windows and the stealth and privilege-escalation tactics. SOC and detection teams should validate visibility into behavioral sequences consistent with DLL injection: a process interacting with another live process, modifying that process address space, and causing DLL-backed code to execute there. IR teams should be able to pivot from such alerts to the source process, target process, DLL path or module evidence, user context, privileges, and timing. Since ATT&CK supplied no official detection text for DET0389, local engineering must define thresholds, baselines, and benign administrative or security-tool exceptions.

Likely telemetry

  • Endpoint detection and response events for cross-process activity
  • Windows process creation and parent-child process context
  • Windows API or sensor-derived telemetry related to process memory access and remote execution behavior
  • Loaded module or DLL load evidence for target processes
  • File path and hash metadata for DLLs involved in suspicious process activity

Detection direction

  • Validate that telemetry covers Windows systems relevant to the related technique, because DET0389 itself does not specify platforms while the detected technique is Windows-specific.
  • Look for behavioral correlation rather than single indicators: suspicious source process, target process, DLL/module evidence, and cross-process execution context.
  • Tune for legitimate software that may use injection-like behavior, including security tools, accessibility tooling, debuggers, or enterprise management agents, to reduce false positives without suppressing high-risk targets.
  • Ensure detections preserve enough context for triage: source process, target process, command line where available, user, integrity or privilege context, DLL path, hashes, and timestamps.
  • Test whether process-based allow/block logic alone creates a blind spot when code executes inside a trusted or commonly used process.

Mitigation priorities

  • Start with visibility: confirm endpoint sensors and logs can capture process, module, and cross-process behavior needed to investigate DLL injection.
  • Harden privileged Windows endpoints and high-value servers first, because the related technique is tied to privilege escalation and stealth.
  • Restrict unnecessary administrative rights and validate identity controls that limit the usefulness of successful privilege-escalation attempts.
  • Use application control, least privilege, and endpoint protection policies where appropriate to reduce unauthorized DLL execution opportunities.
  • Prepare IR playbooks for suspected injection events, including containment decisions for the source host, collection of process and module evidence, and review of user privilege context.
Analyst notes and limits

The official detection strategy object is sparse: no official description, detection text, tactics, or platforms are provided. The practical interpretation comes from the object name and its relationship to T1055.001 Dynamic-link Library Injection, whose supplied relationship context identifies Windows, stealth, and privilege escalation relevance.

This take does not assert active exploitation, actor attribution, prevalence, or guaranteed detection. The supplied DET0389 fields do not include detection analytics, data sources, or platform scope; therefore, coverage and priority must be validated against the local Windows estate, endpoint tooling, and SOC workflows.

Official MITRE ATT&CK definition

Behavioral Detection of DLL Injection via Windows API

No official description is available in the imported ATT&CK source object.

View the same entry on attack.mitre.org (MITRE-hosted reference; in-page links above use the Glexia ATT&CK library.)

Glexia analysis

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.

ATT&CK relationship table

Techniques used

This mirrors the MITRE pattern of making group, software, campaign, and technique relationships scannable. Relationship notes come from mirrored ATT&CK relationship text when available.

1 rows
Domain ID Name Relationship / procedure
Enterprise T1055.001 Dynamic-link Library Injection Sub-technique This object detects Dynamic-link Library Injection.
Relationship explorer

All related ATT&CK context

Change history

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 .

ATT&CK release
19.1
Object version
1.0
Created
Modified
Raw hash
eb2708c79b0bb43b...
Imported snapshots across ATT&CK releases (1)
Release Bundle imported Object version Modified Status Raw hash
19.1 1.0 Current bundle eb2708c79b0b…
Raw source

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.

Source references

External references and citations

MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.

  1. [1]
    mitre-attack DET0389
    Open source URL
Source and licensing

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