AN0237: Analytic 0237
Detection of processes that load or decode encrypted/encoded files in memory and subsequently execute or inject them, indicating payload unpacking or memory-resident malware.
Analyst context for executives and security teams
This analytic is about finding Windows processes that unpack encrypted or encoded content directly in memory and then execute or inject it. For leaders, the practical issue is that malware using memory-resident payloads may leave fewer traditional file-based clues, so coverage depends on whether the SOC can observe process behavior, memory-related execution patterns, and injection activity rather than only scanning files at rest.
Executive priority
Treat this as a validation point for endpoint visibility and incident response readiness on Windows systems. The business question is whether critical endpoints have telemetry capable of showing suspicious in-memory payload loading, decoding, execution, or injection. This matters for resilience because investigations may be delayed if teams rely mainly on file detections or do not retain enough process and memory-adjacent evidence to reconstruct what ran.
Technical view
For SOC, detection engineering, and IR teams, validate Windows telemetry around process creation, module loading, suspicious memory execution, file read/decode behavior, and process injection indicators. Because the official ATT&CK object provides no detection logic and no related techniques, implementation should be treated as a locally engineered analytic: define expected benign software that decodes or unpacks content in memory, then tune for unusual parent-child processes, unexpected executable memory behavior, and follow-on injection or execution chains.
Likely telemetry
- Windows endpoint process creation and process lineage telemetry
- File access events for encrypted or encoded payload-like content where available
- Module load and image load telemetry
- Endpoint detection and response events related to memory execution or process injection
- Command-line, parent process, user, host, and timestamp context for triage
Detection direction
- Confirm telemetry exists on Windows hosts to observe process behavior beyond file creation alone.
- Test whether the SOC can correlate memory-resident unpacking behavior with subsequent execution or injection activity.
- Tune for false positives from legitimate packers, installers, security tools, scripting runtimes, and applications that decode content in memory.
- Prioritize high-risk deviations: unusual parent processes, unexpected user context, rare binaries, suspicious execution chains, or injection into sensitive processes.
- Document detection assumptions because ATT&CK provides the analytic description but no official detection implementation.
Mitigation priorities
- Prioritize endpoint visibility and retention for Windows process, image load, and EDR memory-related events.
- Harden execution control and application allowlisting where appropriate for high-value systems.
- Ensure incident response playbooks include collection of process lineage, loaded modules, memory-related EDR evidence, and affected user context.
- Use this analytic as a control-validation exercise: prove that fileless or memory-resident execution patterns generate actionable evidence.
- Review endpoint coverage gaps on servers, privileged workstations, and systems with limited EDR visibility.
Analyst notes and limits
The supplied ATT&CK object is a detection analytic, not a technique description. It identifies the behavior to detect on Windows but does not provide tactics, related ATT&CK techniques, detection pseudocode, mitigations, or relationship context. Local baselining is essential because legitimate software can load, decode, unpack, or inject content in memory.
No official detection text, relationships, tactic mapping, or implementation details were supplied. This take is limited to the official description, Windows platform field, and external MITRE reference. It should not be read as evidence of active exploitation, attribution, or existing detection coverage in any environment.
Analytic 0237
Detection of processes that load or decode encrypted/encoded files in memory and subsequently execute or inject them, indicating payload unpacking or memory-resident malware.
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 | dd6d633d707d… |
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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[1]
mitre-attack AN0237Open source URL
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