Full Report
A malicious Android spyware application named 'BMI CalculationVsn' was discovered on the Amazon Appstore, masquerading as a simple health tool but stealing data from infected devices in the background. [...]
Analysis Summary
# Tool/Technique: Android Spyware Disguised as Health App on Amazon Appstore
## Overview
This entry summarizes information related to an Android spyware campaign where malicious applications were found distributed via the Amazon Appstore, disguised as legitimate health applications. The primary purpose of the malware is likely surveillance and data exfiltration from affected Android devices.
## Technical Details
- Type: Malware family (Spyware)
- Platform: Android
- Capabilities: Data exfiltration (functionality implied by the term "spyware"), evasion of app store checks, masquerading as a benign application.
- First Seen: Not explicitly detailed in the provided context, but the discovery relates to a recent event on the Amazon Appstore.
## MITRE ATT&CK Mapping
*(Since the context is limited, mappings are inferred based on the description of "Android Spyware" found on an app store.)*
- **TA0011 - Command and Control**
- T1071 - Application Layer Protocol
- **TA0010 - Exfiltration**
- T1041 - Exfiltration Over C2 Channel
- **TA0005 - Defense Evasion**
- T1204 - User Execution (Tricking the user into installing)
## Functionality
### Core Capabilities
- Distribution via official third-party application store (Amazon Appstore).
- Deceptive packaging to appear as a legitimate "health app."
- Execution of unauthorized surveillance/spying capabilities on the Android host device.
### Advanced Features
- Evasion techniques allowing the payload to bypass initial security scrutiny by the Amazon Appstore review process.
- Likely utilizes legitimate Android permissions requested under false pretenses related to health tracking.
## Indicators of Compromise
*Note: Specific IOCs (hashes, domains) are not provided in the context.*
- File Hashes: [Unknown]
- File Names: [Unknown, disguised as health application names]
- Registry Keys: [N/A for Android, permissions/system settings may be modified]
- Network Indicators: [Inferred C2 communication channels, defanged]
- `example-c2-server[.]com`
- `192[.]0[.]2[.]10`
- Behavioral Indicators:
- Unauthorized access to contacts, messages, or location data.
- Communication with external servers outside of the application's expected operational scope.
## Associated Threat Actors
- [Unknown or Undisclosed in this context. Typically, threat actors targeting mobile app stores are financially motivated or nation-state actors.]
## Detection Methods
- Signature-based detection: [Requires known malware hashes/signatures specific to this variant.]
- Behavioral detection: [Monitoring for suspicious permission usage, unusual network traffic patterns originating from the application process.]
- YARA rules: [Could be developed based on static analysis of the known Android package (APK).]
## Mitigation Strategies
- Prevention measures:
- Users should be cautious when installing apps, even from reputable third-party stores, and scrutinize permission requests.
- Ensure Google Play Protect or equivalent mobile security software is active (though this was on Amazon Appstore).
- Hardening recommendations:
- Restrict installation of applications from unknown or untrusted sources (sideloading).
- Regularly review installed application permissions.
## Related Tools/Techniques
- Other malware leveraging app store distribution models (e.g., malicious apps found on Google Play Store).
- General Android spyware families (e.g., Cerberus, FluBot, depending on the actual payload executed).