AN1800: Analytic 1800
Correlates (1) modification or replacement of system runtime libraries or API resolution paths, (2) repeated invocation of hijacked APIs across multiple applications, and (3) inconsistent or suppressed outputs from those APIs compared to expected OS-enforced behavior. The defender observes a causal chain where system-level API behavior is altered, resulting in multiple applications exhibiting consistent anomalies in sensor access, permission checks, or system state reporting.
Analyst context for executives and security teams
This analytic matters because it looks for signs that Android system-level API behavior has been altered in a way that affects multiple apps. For leaders, the risk signal is not one suspicious app event; it is a broader integrity problem where applications may receive false or suppressed information about sensors, permissions, or system state. That can undermine mobile trust decisions, incident scoping, and confidence in device-reported security evidence.
Executive priority
Prioritize this as a mobile platform integrity and assurance question: can the organization prove that Android devices produce trustworthy API, permission, sensor, and system-state evidence? The decision value is strongest for environments that rely on Android devices for regulated workflows, field operations, identity checks, or sensitive business processes. Security leaders should ask whether mobile telemetry can reveal cross-application anomalies, not just app-specific alerts.
Technical view
The supplied analytic describes correlation across three evidence patterns on Android: modification or replacement of system runtime libraries or API resolution paths; repeated invocation of hijacked APIs across multiple applications; and inconsistent or suppressed API outputs compared with expected OS-enforced behavior. SOC and IR teams should validate whether their mobile logging, endpoint/mobile security tooling, or forensic collection can connect system-level integrity changes to repeated anomalous behavior across more than one application. Because no ATT&CK detection text or relationships are supplied, implementation should be treated as a validation objective rather than an out-of-the-box detection rule.
Likely telemetry
- Android system runtime library integrity or change evidence
- API resolution path or loader-related evidence
- Cross-application API invocation patterns
- Sensor access records and anomalies
- Permission check results and inconsistencies
Detection direction
- Validate that telemetry can correlate events across multiple Android applications, not only within a single app sandbox.
- Baseline expected OS-enforced behavior for relevant API outputs, permission checks, sensor access, and system-state reporting before alerting on inconsistencies.
- Treat repeated anomalous API behavior across multiple apps as higher priority than isolated application errors.
- Review blind spots where mobile tooling cannot observe runtime library changes, API resolution paths, or suppressed API outputs.
- Tune for legitimate OS updates, vendor customizations, device management software, and application compatibility issues that may change API behavior without malicious activity.
Mitigation priorities
- Establish mobile platform integrity requirements for Android devices used in sensitive workflows.
- Ensure mobile management and response processes can inventory OS versions, device state, and security posture before relying on device evidence.
- Prioritize telemetry that can support system-level integrity checks and cross-application behavioral correlation.
- Create IR procedures for collecting mobile forensic evidence when API behavior, permission checks, or sensor outputs appear inconsistent.
- Use compliance evidence to show whether mobile devices are monitored for integrity and trustworthy reporting, while avoiding claims of full coverage unless locally validated.
Analyst notes and limits
This is a detection analytic object for the mobile ATT&CK domain with Android as the only supplied platform. It has no supplied tactics, no relationship context, and no official detection text beyond the analytic description. The strongest defensible interpretation is that it supports detection engineering and incident validation around Android system API integrity and cross-application anomaly correlation.
Coverage depends on local Android telemetry depth, device management controls, forensic access, and the ability to compare observed API behavior with expected OS-enforced behavior. The supplied ATT&CK data does not identify related techniques, adversaries, malware, campaigns, or mitigations, and it does not support claims of active exploitation or guaranteed detection.
Analytic 1800
Correlates (1) modification or replacement of system runtime libraries or API resolution paths, (2) repeated invocation of hijacked APIs across multiple applications, and (3) inconsistent or suppressed outputs from those APIs compared to expected OS-enforced behavior. The defender observes a causal chain where system-level API behavior is altered, resulting in multiple applications exhibiting consistent anomalies in sensor access, permission checks, or system state reporting.
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 | 8c9bad21abcb… |
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 AN1800Open 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.