T1627.001: Geofencing
Adversaries may use a device’s geographical location to limit certain malicious behaviors. For example, malware operators may limit the distribution of a second stage payload to certain geographic regions.[1]
Geofencing is accomplished by persuading the user to grant the application permission to access location services. The application can then collect, process, and exfiltrate the device’s location to perform location-based actions, such as ceasing malicious behavior or showing region-specific advertisements.
One method to accomplish Geofencing on Android is to use the built-in Geofencing API to automatically trigger certain behaviors when the device enters or exits a specified radius around a geographical location. Similar to other Geofencing methods, this requires that the user has granted the `ACCESS_FINE_LOCATION` and `ACCESS_BACKGROUND_LOCATION` permissions. The latter is only required if the application targets Android 10 (API level 29) or higher. However, Android 11 introduced additional permission controls that may restrict background location collection based on user permission choices at runtime. These additional controls include "Allow only while using the app", which will effectively prohibit background location collection.
Similarly, on iOS, developers can use built-in APIs to setup and execute geofencing. Depending on the use case, the app will either need to call `requestWhenInUseAuthorization()` or `requestAlwaysAuthorization()`, depending on when access to the location services is required. Similar to Android, users also have the option to limit when the application can access the device’s location, including one-time use and only when the application is running in the foreground.
Geofencing can be used to prevent exposure of capabilities in environments that are not intended to be compromised or operated within. For example, location data could be used to limit malware spread and/or capabilities, which could also potentially evade application analysis environments (ex: malware analysis outside of the target geographic area). Other malicious usages could include showing language-specific input prompts and/or advertisements.
Security context for executives and security teams
T1627.001: Geofencing describes Adversaries may use a device’s geographical location to limit certain malicious behaviors. For example, malware operators may limit the distribution of a second stage payload to certain geographic regions.(Citation: Lookout eSurv) [Geofencing](https://attack.mitre.org/techniques/T1627/001) is accomplished by persuading the user to grant the application permission to access location services. The application can then collect, process, and exfiltrate the device’s location to perform location-based actions, such as ce...
Executive priority
T1627.001: Geofencing 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 T1627.001: Geofencing 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 T1627.001: Geofencing 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.
Geofencing
Adversaries may use a device’s geographical location to limit certain malicious behaviors. For example, malware operators may limit the distribution of a second stage payload to certain geographic regions.[1]
Geofencing is accomplished by persuading the user to grant the application permission to access location services. The application can then collect, process, and exfiltrate the device’s location to perform location-based actions, such as ceasing malicious behavior or showing region-specific advertisements.
One method to accomplish Geofencing on Android is to use the built-in Geofencing API to automatically trigger certain behaviors when the device enters or exits a specified radius around a geographical location. Similar to other Geofencing methods, this requires that the user has granted the `ACCESS_FINE_LOCATION` and `ACCESS_BACKGROUND_LOCATION` permissions. The latter is only required if the application targets Android 10 (API level 29) or higher. However, Android 11 introduced additional permission controls that may restrict background location collection based on user permission choices at runtime. These additional controls include "Allow only while using the app", which will effectively prohibit background location collection.
Similarly, on iOS, developers can use built-in APIs to setup and execute geofencing. Depending on the use case, the app will either need to call `requestWhenInUseAuthorization()` or `requestAlwaysAuthorization()`, depending on when access to the location services is required. Similar to Android, users also have the option to limit when the application can access the device’s location, including one-time use and only when the application is running in the foreground.
Geofencing can be used to prevent exposure of capabilities in environments that are not intended to be compromised or operated within. For example, location data could be used to limit malware spread and/or capabilities, which could also potentially evade application analysis environments (ex: malware analysis outside of the target geographic area). Other malicious usages could include showing language-specific input prompts and/or advertisements.
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 | T1627 | Execution Guardrails | This object subtechnique of Execution Guardrails. |
| Mobile | T1581 | Geofencing | Geofencing revoked by this object. |
Groups, software, and campaigns
G0112: Windshift
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]
S0507: eSurv
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(2)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.2 | 1.1 | Current bundle | 6fda66130eac… | ||
| 19.1 | 1.1 | Older bundle | 6fda66130eac… |
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]Lookout eSurv
A. Bauer. (2019, April 8). Lookout discovers phishing sites distributing new iOS and Android surveillanceware. Retrieved September 11, 2020.
Open source URL - [2]mitre-attackT1627.001Open source URL
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