AN1840: Analytic 1840
The defender correlates newly granted or recently exercised storage- or privilege-relevant access with burst reads of local files, local databases, or protected records from operating-system or external-storage locations, especially when the reads are inconsistent with app role, occur in background or locked-device context, or are followed by temporary data staging or network transmission. The analytic emphasizes Android-specific observables such as external storage access, app-private database reads where visible to the sensor, and repeated enumeration/read activity against local paths associated with media, tokens, caches, or exported application data.
Analyst context for executives and security teams
AN1840 is a mobile detection analytic for Android that looks for suspicious local data access: an app receiving or using storage/privilege-relevant access, then rapidly reading files, databases, protected records, media, tokens, caches, or exported app data, especially from the background or locked-device state and especially before staging or network transmission. For leaders, the practical value is validating whether mobile monitoring can distinguish expected app behavior from potential collection of sensitive local data.
Executive priority
Prioritize this analytic where Android devices handle sensitive business data or regulated information. The business question is whether the organization can produce evidence that mobile apps are not abusing granted access to collect local data at scale. This supports incident response readiness, privacy/compliance evidence, and mobile risk governance, but coverage depends heavily on what Android telemetry the organization can actually collect from managed devices.
Technical view
SOC and detection teams should validate correlation across three event classes: recent permission/access grant or use, burst reads of local files/databases/protected records, and follow-on staging or network transmission. The analytic is Android-specific and should be tuned around app role, foreground/background state, locked-device context, external storage access, app-private database visibility where sensors allow it, and repeated enumeration/read activity against local paths associated with media, tokens, caches, or exported application data. No ATT&CK tactic or relationship context was supplied, so implementation should be treated as a behavior-level mobile analytic rather than mapped to a broader campaign chain.
Likely telemetry
- Android app permission grant and permission-use events for storage- or privilege-relevant access
- File and directory read activity from local operating-system and external-storage locations
- Repeated enumeration or burst-read patterns against media, token, cache, exported application data, and similar local paths
- App-private database read visibility where available to the mobile sensor or management stack
- Device and app context such as foreground/background state and locked-device state
Detection direction
- Confirm whether managed Android telemetry exposes the required file, database, permission, app-state, and network context; many environments will only have partial visibility.
- Baseline expected high-volume local reads by legitimate apps such as media, backup, document, security, or synchronization tools to reduce false positives.
- Correlate permission/access events with timing of burst reads rather than alerting on either condition alone.
- Add context for background or locked-device execution because those conditions materially change the risk interpretation of local data access.
- Review alerts for follow-on staging or network transmission, which can help prioritize investigation, while avoiding claims of exfiltration without supporting evidence.
Mitigation priorities
- Start by inventorying Android management and telemetry coverage for permission use, file/database reads, app state, and network activity.
- Limit unnecessary storage- or privilege-relevant access through mobile device/application governance where supported by policy and business requirements.
- Use app allowlisting, app risk review, and permission review processes to ensure apps with broad storage access have a justified business role.
- Retain mobile telemetry long enough to correlate access grants, burst reads, staging, and network activity during incident response.
- Create investigation playbooks for suspicious Android local data access, including validation of app role, user activity state, data locations accessed, and subsequent transmission indicators.
Analyst notes and limits
This object is a detection analytic, not a technique description. The supplied official description is specific to Android and focuses on correlating permission/access use with high-volume local read behavior and possible staging or transmission. No relationships, tactics, aliases, or official detection text were provided, so the take avoids attribution, exploitation claims, and broader ATT&CK chain assumptions.
Coverage cannot be inferred from the ATT&CK object alone. Android sensor capability, device management posture, privacy constraints, and access to app-private database or file-read telemetry will determine whether this analytic is implementable. Local baselining is required because legitimate apps may perform large local reads as part of normal business activity.
Analytic 1840
The defender correlates newly granted or recently exercised storage- or privilege-relevant access with burst reads of local files, local databases, or protected records from operating-system or external-storage locations, especially when the reads are inconsistent with app role, occur in background or locked-device context, or are followed by temporary data staging or network transmission. The analytic emphasizes Android-specific observables such as external storage access, app-private database reads where visible to the sensor, and repeated enumeration/read activity against local paths associated with media, tokens, caches, or exported application data.
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.
All related ATT&CK context
No relationships are available in the current normalized data for this object.
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 (1)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.1 | 1.1 | Current bundle | 2ca9f736fdb2… |
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-attack AN1840Open 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.