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MITRE ATT&CK® Malware

S1069: TangleBot

TangleBot is SMS malware that was initially observed in September 2021, primarily targeting mobile users in the United States and Canada. TangleBot has used SMS text message lures about COVID-19 regulations and vaccines to trick mobile users into downloading the malware, similar to FluBot Android malware campaigns.[1]

MobileS1069MalwareObject v1.0 Modified
Glexia's Take

Analyst context for executives and security teams

Analyst confidence Medium

TangleBot matters because it represents mobile malware delivered through SMS lures, with ATT&CK documenting Android-focused behavior that can reach into communications, location, screen, audio, video, contacts, call logs, SMS messages, and local data. For leaders, the practical issue is not only malware removal; it is whether the organization can see and govern risky mobile app installation and permissions on devices that may access corporate identity, messaging, or regulated data.

Executive priority

Prioritize this as a mobile security, privacy, and incident-readiness issue. The supplied ATT&CK data ties TangleBot to SMS-based social engineering and Android behaviors that can expose sensitive communications and personal data. Executives should ask whether managed and BYOD mobile devices have enforceable app-source controls, permission visibility, SMS-phishing reporting paths, and evidence suitable for incident response or compliance reviews involving PII, communications records, or location data.

Technical view

SOC, IR, and mobile security teams should validate coverage around Android devices and the related ATT&CK behaviors: GUI input capture, software discovery, audio/location/video/screen capture, local data access, SMS control, call control, call log access, contact list access, and SMS message access. Because ATT&CK provides no official detection text for this object and no tactics are specified, detection engineering should be relationship-driven: look for suspicious combinations of mobile app install events, risky permissions, default SMS handler changes, SMS send/receive behavior, phone-call control permissions, contact/SMS/call-log access, media capture permissions, location access, and screen-capture consent or MediaProjection use where telemetry is available.

Likely telemetry

  • MDM/MAM or mobile threat defense records for Android app inventory, install source, sideloading, and newly installed APKs
  • Android permission requests and grants for SMS, phone, contacts, microphone, camera, location, storage, and screen capture capabilities
  • Changes to default SMS handler status and SMS send/receive activity where enterprise telemetry supports it
  • Call control, call log, contact list, and SMS content provider access indicators where available
  • User reports or help desk tickets referencing suspicious SMS lures, especially messages prompting app installation

Detection direction

  • Confirm whether mobile telemetry can correlate SMS lure reports with subsequent Android app installation and high-risk permission grants.
  • Tune for suspicious permission bundles rather than single permissions alone; legitimate communication, navigation, banking, accessibility, and productivity apps may request some of the same access.
  • Validate monitoring for default SMS handler changes, SMS sending, call-control permissions, and access to contacts, call logs, and SMS messages on managed Android devices.
  • Review whether screen, audio, video, and location access is visible to defenders and whether consent prompts or permission changes are logged.
  • Use app reputation, install source, device ownership model, timing, and user context to reduce false positives.

Mitigation priorities

  • Enforce managed-device controls for app installation sources, sideloading restrictions, and app vetting where business policy allows.
  • Apply mobile permission governance: limit or review apps requesting SMS, phone, contacts, microphone, camera, location, storage, and screen-capture-related access.
  • Provide clear SMS-phishing reporting and user guidance for messages that pressure users to install applications.
  • Integrate mobile alerts and device inventory into SOC and incident response workflows so mobile events are not isolated from identity and endpoint investigations.
  • For suspected compromise, preserve available device evidence, remove the untrusted app, review exposed accounts or data, and consider credential or token reset decisions based on local evidence.
Analyst notes and limits

The strongest defensive value comes from treating TangleBot as a mobile permission-abuse and SMS-delivery case. ATT&CK relationships show a broad set of collection and device-control behaviors, so coverage should be assessed across mobile app governance, SMS handling, identity exposure, and privacy-sensitive telemetry rather than only malware signature detection.

The supplied ATT&CK object has no official detection guidance, no specified tactics, no aliases, and only Android listed as the platform for TangleBot. The description cites initial observation in September 2021 and targeting of mobile users in the United States and Canada, but this summary does not infer current activity or organizational exposure. Local MDM, mobile threat defense, carrier, privacy, and device-ownership constraints will determine what can actually be detected or investigated.

Official MITRE ATT&CK definition

TangleBot

TangleBot is SMS malware that was initially observed in September 2021, primarily targeting mobile users in the United States and Canada. TangleBot has used SMS text message lures about COVID-19 regulations and vaccines to trick mobile users into downloading the malware, similar to FluBot Android malware campaigns.[1]

View the same entry on attack.mitre.org (MITRE-hosted reference; in-page links above use the Glexia ATT&CK library.)

Glexia analysis

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.

ATT&CK relationship table

Techniques used

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.

12 rows
Domain ID Name Relationship / procedure
Mobile T1418 Software Discovery

TangleBot can obtain a list of installed applications.Citationcloudmark_tanglebot_0921

Mobile T1430 Location Tracking

TangleBot can request location permissions.Citationcloudmark_tanglebot_0921

Mobile T1512 Video Capture

TangleBot can record video from the device camera.Citationcloudmark_tanglebot_0921

Mobile T1636.003 Contact List Sub-technique

TangleBot can request permission to view device contacts.Citationcloudmark_tanglebot_0921

Mobile T1533 Data from Local System

TangleBot can request permission to view files and media.Citationcloudmark_tanglebot_0921

Mobile T1616 Call Control

TangleBot can make and block phone calls.Citationcloudmark_tanglebot_0921

Mobile T1417.002 GUI Input Capture Sub-technique

TangleBot can use overlays to cover legitimate applications or screens.Citationcloudmark_tanglebot_0921

Mobile T1429 Audio Capture

TangleBot can record audio using the device microphone.Citationcloudmark_tanglebot_0921

Mobile T1636.004 SMS Messages Sub-technique

TangleBot can read incoming text messages.Citationcloudmark_tanglebot_0921

Mobile T1513 Screen Capture

TangleBot can record the screen and stream the data off the device.Citationcloudmark_tanglebot_0921

Mobile T1582 SMS Control

TangleBot can send text messages.Citationcloudmark_tanglebot_0921

Mobile T1636.002 Call Log Sub-technique

TangleBot can request permission to view call logs.Citationcloudmark_tanglebot_0921

Relationship explorer

All related ATT&CK context

Change history

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 .

ATT&CK release
19.1
Object version
1.0
Created
Modified
Raw hash
70cc51e13d22d069...
Imported snapshots across ATT&CK releases (1)
Release Bundle imported Object version Modified Status Raw hash
19.1 1.0 Current bundle 70cc51e13d22…
Raw source

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.

Source references

External references and citations

MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.

  1. [1]
    cloudmark_tanglebot_0921

    Felipe Naves, Andrew Conway, W. Stuart Jones, Adam McNeil . (2021, September 23). TangleBot: New Advanced SMS Malware Targets Mobile Users Across U.S. and Canada with COVID-19 Lures. Retrieved February 28, 2023.

    Open source URL
  2. [2]
    mitre-attack S1069
    Open source URL
Source and licensing

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.