T1633.001: System Checks
Adversaries may employ various system checks to detect and avoid virtualization and analysis environments. This may include changing behavior after checking for the presence of artifacts indicative of a virtual environment or sandbox. If the adversary detects a virtual environment, they may alter their malware’s behavior to disengage from the victim or conceal the core functions of the implant. They may also search for virtualization artifacts before dropping secondary or additional payloads.
Checks could include generic system properties such as host/domain name and samples of network traffic. Adversaries may also check the network adapters addresses, CPU core count, and available memory/drive size.
Hardware checks, such as the presence of motion sensors, could also be used to gather evidence that can be indicative a virtual environment. Adversaries may also query for specific readings from these devices.
Security context for executives and security teams
T1633.001: System Checks describes Adversaries may employ various system checks to detect and avoid virtualization and analysis environments. This may include changing behavior after checking for the presence of artifacts indicative of a virtual environment or sandbox. If the adversary detects a virtual environment, they may alter their malware’s behavior to disengage from the victim or conceal the core functions of the implant. They may also search for virtualization artifacts before dropping secondary or additional payloads. Checks could include g...
Executive priority
T1633.001: System Checks 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 T1633.001: System Checks by reviewing the official ATT&CK relationships, mapped tactics (defense-evasion), supported platforms (Android, iOS), and available local telemetry before making detection or mitigation decisions.
Likely telemetry
- Official ATT&CK relationships and object metadata
- Identity, privilege, and authentication events
Detection direction
- Validate whether T1633.001: System Checks 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.
System Checks
Adversaries may employ various system checks to detect and avoid virtualization and analysis environments. This may include changing behavior after checking for the presence of artifacts indicative of a virtual environment or sandbox. If the adversary detects a virtual environment, they may alter their malware’s behavior to disengage from the victim or conceal the core functions of the implant. They may also search for virtualization artifacts before dropping secondary or additional payloads.
Checks could include generic system properties such as host/domain name and samples of network traffic. Adversaries may also check the network adapters addresses, CPU core count, and available memory/drive size.
Hardware checks, such as the presence of motion sensors, could also be used to gather evidence that can be indicative a virtual environment. Adversaries may also query for specific readings from these devices.
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 |
|---|---|---|---|
| Mobile | T1633 | Virtualization/Sandbox Evasion | This object subtechnique of Virtualization/Sandbox Evasion. |
| Mobile | T1523 | Evade Analysis Environment | Evade Analysis Environment revoked by this object. |
Groups, software, and campaigns
G0112: Windshift
S0480: Cerberus
S0411: Rotexy
S0427: TrickMo
S1061: AbstractEmu
AbstractEmu is mobile malware that was first seen in Google Play and other third-party stores in October 2021. It was discovered in 19 Android applications, of which at least 7 abused known Android exploits for obtaining root permissions. AbstractEmu was observed primarily impacting users in the United States, however victims are believed to be across a total of 17 countries.[1]
S1083: Chameleon
Chameleon is an Android banking trojan that can leverage Android’s Accessibility Services to perform malicious activities. Believed to have been first active in January 2023, Chameleon has been observed targeting users in Australia and Poland by masquerading as official applications. A new variant of Chameleon has expanded its targets to include Android users in the United Kingdom and Italy.[1][2]
S0301: Dendroid
S0485: Mandrake
Mandrake is a sophisticated Android espionage platform that has been active in the wild since at least 2016. Mandrake is very actively maintained, with sophisticated features and attacks that are executed with surgical precision.
Mandrake has gone undetected for several years by providing legitimate, ad-free applications with social media and real reviews to back the apps. The malware is only activated when the operators issue a specific command.[1]
S1094: BRATA
BRATA (Brazilian Remote Access Tool, Android), is an evolving Android malware strain, detected in late 2018 and again in late 2021. Originating in Brazil, BRATA was later also found in the UK, Poland, Italy, Spain, and USA, where it is believed to have targeted financial institutions such as banks. There are currently three known variants of BRATA.[1][2][3]
S0423: Ginp
S0509: FakeSpy
S0422: Anubis
S0544: HenBox
All related ATT&CK context
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 | 1.1 | Current bundle | d1f41ac3c5ff… | ||
| 19.1 | 1.1 | Older bundle | d1f41ac3c5ff… |
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-attackT1633.001Open source URL
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