T1546: Event Triggered Execution
Adversaries may establish persistence and/or elevate privileges using system mechanisms that trigger execution based on specific events. Various operating systems have means to monitor and subscribe to events such as logons or other user activity such as running specific applications/binaries. Cloud environments may also support various functions and services that monitor and can be invoked in response to specific cloud events.[1][2][3]
Adversaries may abuse these mechanisms as a means of maintaining persistent access to a victim via repeatedly executing malicious code. After gaining access to a victim system, adversaries may create/modify event triggers to point to malicious content that will be executed whenever the event trigger is invoked.[4][5][6]
Since the execution can be proxied by an account with higher permissions, such as SYSTEM or service accounts, an adversary may be able to abuse these triggered execution mechanisms to escalate their privileges.
Security context for executives and security teams
T1546: Event Triggered Execution describes Adversaries may establish persistence and/or elevate privileges using system mechanisms that trigger execution based on specific events. Various operating systems have means to monitor and subscribe to events such as logons or other user activity such as running specific applications/binaries. Cloud environments may also support various functions and services that monitor and can be invoked in response to specific cloud events.(Citation: Backdooring an AWS account)(Citation: Varonis Power Automate Data Exfiltration...
Executive priority
T1546: Event Triggered Execution is an official MITRE ATT&CK technique. 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 T1546: Event Triggered Execution by reviewing the official ATT&CK relationships, mapped tactics (privilege-escalation, persistence), supported platforms (Linux, macOS, Windows, SaaS), and available local telemetry before making detection or mitigation decisions.
Likely telemetry
- Official ATT&CK relationships and object metadata
- Identity, privilege, and authentication events
- Cloud control-plane, SaaS audit, and container platform logs
- Network, endpoint, and security-tool telemetry
Detection direction
- Validate whether T1546: Event Triggered Execution 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.
Event Triggered Execution
Adversaries may establish persistence and/or elevate privileges using system mechanisms that trigger execution based on specific events. Various operating systems have means to monitor and subscribe to events such as logons or other user activity such as running specific applications/binaries. Cloud environments may also support various functions and services that monitor and can be invoked in response to specific cloud events.[1][2][3]
Adversaries may abuse these mechanisms as a means of maintaining persistent access to a victim via repeatedly executing malicious code. After gaining access to a victim system, adversaries may create/modify event triggers to point to malicious content that will be executed whenever the event trigger is invoked.[4][5][6]
Since the execution can be proxied by an account with higher permissions, such as SYSTEM or service accounts, an adversary may be able to abuse these triggered execution mechanisms to escalate their privileges.
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.
Related techniques
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.
| Domain | ID | Name | Relationship / procedure |
|---|---|---|---|
| Enterprise | T1546.002 | ScreensaverSub-technique | Screensaver subtechnique of this object. |
| Enterprise | T1546.013 | PowerShell ProfileSub-technique | PowerShell Profile subtechnique of this object. |
| Enterprise | T1546.016 | Installer PackagesSub-technique | Installer Packages subtechnique of this object. |
| Enterprise | T1546.003 | Windows Management Instrumentation Event SubscriptionSub-technique | Windows Management Instrumentation Event Subscription subtechnique of this object. |
| Enterprise | T1546.006 | LC_LOAD_DYLIB AdditionSub-technique | LC_LOAD_DYLIB Addition subtechnique of this object. |
| Enterprise | T1546.018 | Python Startup HooksSub-technique | Python Startup Hooks subtechnique of this object. |
| Enterprise | T1546.011 | Application ShimmingSub-technique | Application Shimming subtechnique of this object. |
| Enterprise | T1546.015 | Component Object Model HijackingSub-technique | Component Object Model Hijacking subtechnique of this object. |
| Enterprise | T1546.004 | Unix Shell Configuration ModificationSub-technique | Unix Shell Configuration Modification subtechnique of this object. |
| Enterprise | T1546.010 | AppInit DLLsSub-technique | AppInit DLLs subtechnique of this object. |
| Enterprise | T1546.005 | TrapSub-technique | Trap subtechnique of this object. |
| Enterprise | T1546.007 | Netsh Helper DLLSub-technique | Netsh Helper DLL subtechnique of this object. |
| Enterprise | T1546.012 | Image File Execution Options InjectionSub-technique | Image File Execution Options Injection subtechnique of this object. |
| Enterprise | T1546.001 | Change Default File AssociationSub-technique | Change Default File Association subtechnique of this object. |
| Enterprise | T1546.009 | AppCert DLLsSub-technique | AppCert DLLs subtechnique of this object. |
| Enterprise | T1546.017 | Udev RulesSub-technique | Udev Rules subtechnique of this object. |
| Enterprise | T1546.014 | EmondSub-technique | Emond subtechnique of this object. |
| Enterprise | T1546.008 | Accessibility FeaturesSub-technique | Accessibility Features subtechnique of this object. |
Groups, software, and campaigns
S1091: Pacu
Pacu is an open-source AWS exploitation framework. The tool is written in Python and publicly available on GitHub.[1]
S1164: UPSTYLE
S0658: XCSSET
XCSSET is a modular macOS malware family delivered through infected Xcode projects and executed when the project is compiled. Active since August 2020, it has been observed installing backdoors, spoofed browsers, collecting data, and encrypting user files. It is composed of SHC-compiled shell scripts and run-only AppleScripts, often hiding in apps that mimic system tools (such as Xcode, Mail, or Notes) or use familiar icons (like Launchpad) to avoid detection.[1][2][3]
S9043: Mini Shai-Hulud
Mini Shai-Hulud is a credential stealer and self-replicating supply chain worm, derived from Shai-Hulud, that has been used by TeamPCP to target Continuous Integration and Continuous Delivery/Deployment (CI/CD) workflows since at least 2026. Mini Shai-Hulud can compromise credentials across multiple cloud, container, and AI configuration file paths and can use stolen npm and GitHub OIDC tokens to spread to other packages maintained by the compromised user. Mini Shai-Hulud also has a targeted wiper component and has used multiple C2 and data exfiltration mechanisms.[1][2][3][4][5][6]
C0035: KV Botnet Activity
KV Botnet Activity consisted of exploitation of primarily “end-of-life” small office-home office (SOHO) equipment from manufacturers such as Cisco, NETGEAR, and DrayTek. KV Botnet Activity was used by Volt Typhoon to obfuscate connectivity to victims in multiple critical infrastructure segments, including energy and telecommunication companies and entities based on the US territory of Guam. While the KV Botnet is the most prominent element of this campaign, it overlaps with another botnet cluster referred to as the JDY cluster.[1] This botnet was disrupted by US law enforcement entities in early 2024 after periods of activity from October 2022 through January 2024.[2]
All related ATT&CK context
Mitigation direction
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(3)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 20.0 | 1.4 | Current bundle | ea0727906061… | ||
| 19.2 | 1.4 | Older bundle | ea0727906061… | ||
| 19.1 | 1.4 | Older bundle | a9cae8695590… |
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]Backdooring an AWS account
Daniel Grzelak. (2016, July 9). Backdooring an AWS account. Retrieved May 27, 2022.
Open source URL - [2]Varonis Power Automate Data Exfiltration
Eric Saraga. (2022, February 2). Using Power Automate for Covert Data Exfiltration in Microsoft 365. Retrieved May 27, 2022.
Open source URL - [3]Microsoft DART Case Report 001
Berk Veral. (2020, March 9). Real-life cybercrime stories from DART, the Microsoft Detection and Response Team. Retrieved May 27, 2022.
Open source URL - [4]FireEye WMI 2015
Ballenthin, W., et al. (2015). Windows Management Instrumentation (WMI) Offense, Defense, and Forensics. Retrieved March 30, 2016.
Open source URL - [5]Malware Persistence on OS X
Patrick Wardle. (2015). Malware Persistence on OS X Yosemite. Retrieved July 10, 2017.
Open source URL - [6]amnesia malware
Claud Xiao, Cong Zheng, Yanhui Jia. (2017, April 6). New IoT/Linux Malware Targets DVRs, Forms Botnet. Retrieved February 19, 2018.
Open source URL - [7]mitre-attackT1546Open source URL
Source: MITRE ATT&CK®. © 2026 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation. MITRE ATT&CK and ATT&CK are registered trademarks of The MITRE Corporation. Glexia is not affiliated with or endorsed by MITRE.
