AN1923: Analytic 1923
Monitor for newly executed processes that depend on user interaction, especially for applications that can embed programmatic capabilities (e.g., Microsoft Office products with scripts, installers, zip files). This includes compression applications, such as those for zip files, that can be used to Deobfuscate/Decode Files or Information in payloads. For added context on adversary procedures and background see User Execution and applicable sub-techniques. Monitor for application logging, messaging, and/or other artifacts that may rely upon specific actions by a user in order to gain execution. Monitor for newly constructed web-based network connections that are sent to malicious or suspicious destinations (e.g., destinations attributed to phishing campaigns). Consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments (e.g., monitor anomalies in use of files that do not normally initiate network connections or unusual connections initiated by regsvr32.exe, rundll.exe, SCF, HTA, MSI, DLLs, or msiexec.exe). Anti-virus can potentially detect malicious documents and files that are downloaded and executed on the user's computer. Endpoint sensing or network sensing can potentially detect malicious events once the file is opened (such as a Microsoft Word document or PDF reaching out to the internet or spawning PowerShell). Monitor for newly executed processes that depend on user interaction, especially for applications that can embed programmatic capabilities (e.g., Microsoft Office products with scripts, installers, zip files). This includes compression applications, such as those for zip files, that can be used to Deobfuscate/Decode Files or Information in payloads. Monitor and analyze traffic patterns and packet inspection associated with web-based network connections that are sent to malicious or suspicious destinations (e.g., destinations attributed to phishing campaigns). Consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments (e.g., monitor anomalies in use of files that do not normally initiate network connections or unusual connections initiated by regsvr32.exe, rundll.exe, SCF, HTA, MSI, DLLs, or msiexec.exe).
Security context for executives and security teams
AN1923: Analytic 1923 describes Monitor for newly executed processes that depend on user interaction, especially for applications that can embed programmatic capabilities (e.g., Microsoft Office products with scripts, installers, zip files). This includes compression applications, such as those for zip files, that can be used to [Deobfuscate/Decode Files or Information](https://attack.mitre.org/techniques/T1140) in payloads. For added context on adversary procedures and background see [User Execution](https://attack.mitre.org/techniques/T1204) an...
Executive priority
AN1923: Analytic 1923 is an official MITRE ATT&CK detection analytic. Glexia treats it as defensive behavior context for prioritizing monitoring, control validation, and response planning without using the object by itself as an attribution claim.
Technical view
Security teams should validate AN1923: Analytic 1923 by reviewing the official ATT&CK relationships, mapped tactics (the mapped ATT&CK tactic context), supported platforms (None), and available local telemetry before making detection or mitigation decisions.
Likely telemetry
- Official ATT&CK relationships and object metadata
Detection direction
- Validate whether AN1923: Analytic 1923 appears in your detection coverage and tabletop scenarios.
- Use the object to align executive risk language with SOC, incident response, and detection engineering work.
- Do not treat ATT&CK relationship context as attribution without corroborating evidence.
Mitigation priorities
- Map the object to existing controls and identify missing telemetry or response ownership.
- Prioritize mitigations that reduce exposure on the listed platforms and tactics.
- Review adjacent ATT&CK relationships before changing policy, detections, or reporting language.
Additional notes and limits
Baseline Glexia take generated from the official MITRE ATT&CK STIX object, source hash, tactics, platforms, and detection fields. It is safe to replace with a richer model-generated take for the same source hash later.
This baseline take is source-grounded and schema-validated, but it does not include environment-specific telemetry, incident evidence, or threat-intelligence corroboration.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Analytic 1923
Monitor for newly executed processes that depend on user interaction, especially for applications that can embed programmatic capabilities (e.g., Microsoft Office products with scripts, installers, zip files). This includes compression applications, such as those for zip files, that can be used to Deobfuscate/Decode Files or Information in payloads. For added context on adversary procedures and background see User Execution and applicable sub-techniques. Monitor for application logging, messaging, and/or other artifacts that may rely upon specific actions by a user in order to gain execution. Monitor for newly constructed web-based network connections that are sent to malicious or suspicious destinations (e.g., destinations attributed to phishing campaigns). Consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments (e.g., monitor anomalies in use of files that do not normally initiate network connections or unusual connections initiated by regsvr32.exe, rundll.exe, SCF, HTA, MSI, DLLs, or msiexec.exe). Anti-virus can potentially detect malicious documents and files that are downloaded and executed on the user's computer. Endpoint sensing or network sensing can potentially detect malicious events once the file is opened (such as a Microsoft Word document or PDF reaching out to the internet or spawning PowerShell). Monitor for newly executed processes that depend on user interaction, especially for applications that can embed programmatic capabilities (e.g., Microsoft Office products with scripts, installers, zip files). This includes compression applications, such as those for zip files, that can be used to Deobfuscate/Decode Files or Information in payloads. Monitor and analyze traffic patterns and packet inspection associated with web-based network connections that are sent to malicious or suspicious destinations (e.g., destinations attributed to phishing campaigns). Consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments (e.g., monitor anomalies in use of files that do not normally initiate network connections or unusual connections initiated by regsvr32.exe, rundll.exe, SCF, HTA, MSI, DLLs, or msiexec.exe).
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(2)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.2 | 1.0 | Current bundle | c54b8dc8c006… | ||
| 19.1 | 1.0 | Older bundle | c54b8dc8c006… |
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.
- [1]mitre-attackAN1923Open source URL
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