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MITRE ATT&CK® Reference

Detections

Detection strategies and analytics from ATT&CK where present.

2,984 records · validated library

Detections results

Results are validated against normalized ATT&CK source records when available; sample records are used only in development or empty-data environments.

AnalyticMobile

AN1746: Analytic 1746

On Android, the user can use the device settings menu to view trusted CA certificates and look for unexpected or unknown certificates. A mobile security product could similarly examine the trusted CA certificate store for anomalies. Users can use the device settings menu to view which applications on the device are allowed to install unknown applications.

On iOS, the user can use the device settings menu to view installed Configuration Profiles and look for unexpected or unknown profiles. A Mobile Device Management (MDM) system could use the iOS MDM APIs to examine the list of installed Configuration Profiles for anomalies.

iOS
AnalyticMobile

AN1747: Analytic 1747

A defender correlates a sudden carrier identity/service state change (SIM/line identifier change or unexpected loss of cellular service) with near-term device messaging/telephony disruption and a concurrent shift in authentication traffic patterns—such as a spike in SMS-based verification flows or account recovery activity from the same user’s identities—indicating the user’s number may have been transferred to a different SIM/device (SIM swap impact).

Android
AnalyticMobile

AN1748: Analytic 1748

A defender correlates an unexpected change in cellular subscription state (eSIM/SIM profile change, carrier/operator change, or sudden persistent loss of cellular service) with near-term disruption signals and a rapid increase in authentication-related network activity consistent with SMS verification or account recovery flows, suggesting the user’s number has been ported to an adversary-controlled SIM/device (SIM swap impact).

iOS
AnalyticMobile

AN1750: Analytic 1750

Application vetting services could look for use of standard APIs (e.g. the clipboard API) that could indicate data manipulation is occurring.

Android
AnalyticMobile

AN1751: Analytic 1751

Defender correlates an app acquiring input-capture capability (AccessibilityService enablement or default IME set) with high-frequency text-change/IME commit callbacks sourced from other packages, followed by local keylog persistence and/or small, immediate network egress. Chain: capability/permission → intercept (accessibility ‘TYPE_VIEW_TEXT_CHANGED’ or IME commitText/onStartInput bursts) → persist to container → near-term egress.

Android
AnalyticMobile

AN1752: Analytic 1752

Defender correlates a custom keyboard extension activation (optionally with TCC ‘Full Access’) or abnormal UI text-entry interception with local keylog persistence and/or small egress. Chain: capability/consent (keyboard Full Access/TCC) → intercept (keyboard commit events or repeated secure text entry edits) → persist to container → near-term egress.

iOS
AnalyticMobile

AN1753: Analytic 1753

Defender observes anomalous signaling network queries targeting subscriber information associated with a device, including unexpected routing requests, location information exchanges, or node-origin inconsistencies indicative of SS7 signaling abuse. [1] The CSRIC also suggests threat information sharing between telecommunications industry members.

Android
AnalyticMobile

AN1754: Analytic 1754

Defender observes anomalous signaling interactions involving subscriber identity or location resolution events associated with a device, including abnormal routing requests, unexpected location information exchanges, or signaling node inconsistencies indicative of SS7 abuse. [1] The CSRIC also suggests threat information sharing between telecommunications industry members.

iOS
AnalyticMobile

AN1755: Analytic 1755

Defender observes a mobile device initiating abnormal or exploit-like network interactions with internal or remote services, followed by process-level instability, privilege boundary shifts, or unexpected execution behaviors indicative of service exploitation outcomes.

Android
AnalyticMobile

AN1756: Analytic 1756

Defender observes a mobile device engaging remote or internal services with traffic characteristics inconsistent with normal application behavior, followed by execution anomalies, application instability, or security context deviations consistent with exploitation effects.

iOS
AnalyticMobile

AN1757: Analytic 1757

Mobile security products can potentially detect jailbroken devices. Application vetting services may be able to detect known privilege escalation exploits contained within applications, as well as searching application packages for strings that correlate to known password store locations.

iOS
AnalyticMobile

AN1758: Analytic 1758

From the defender’s perspective, this strategy correlates signals that a previously unprivileged Android app or process has gained higher privileges through exploitation rather than normal OS or MDM flows. Observable behaviors include: (1) unprivileged app processes issuing sensitive syscalls or accessing privileged device interfaces, (2) bursts of SELinux denials followed by an unexpected domain or permission change, (3) creation of new processes running with system or root UID whose lineage traces back to an app sandbox path, and (4) crashes or abnormal restarts of privileged system services followed shortly by a new connection or binder interaction from the same low-privileged app. The focus is on unusual privilege transitions, anomalous process ancestry, and OS security policy violations, not on specific exploit binaries or CVE signatures.

Android
AnalyticMobile

AN1759: Analytic 1759

Correlates app sandbox escape attempts via unsigned binary execution, mmap memory permission changes (RWX), and sandbox profile violations. Detection chain includes app leveraging JIT/JSC to execute shellcode or triggering kernel exploit via crafted IOKit or Mach port abuse.

iOS
AnalyticMobile

AN1760: Analytic 1760

Mobile security products can often alert the user if their device is vulnerable to known exploits.

Android
AnalyticMobile

AN1761: Analytic 1761

Mobile security products can often alert the user if their device is vulnerable to known exploits.

iOS
AnalyticMobile

AN1762: Analytic 1762

An application generates, imports, or accesses asymmetric keypairs (e.g., RSA/ECC), uses a public key to encrypt outbound data or establish encrypted sessions, and transmits resulting ciphertext in structured communication patterns. Detection correlates keypair lifecycle activity + asymmetric crypto API usage + data transformation + background execution context + network transmission, especially when inconsistent with expected application functionality.

Android
AnalyticMobile

AN1763: Analytic 1763

Indirect evidence of asymmetric cryptographic channel usage inferred through key exchange-like network patterns and application background execution behavior, where direct observation of keypair operations is limited. Detection correlates app entitlement posture + background execution + asymmetric handshake patterns + subsequent encrypted communication.

iOS
AnalyticMobile

AN1764: Analytic 1764

The defender correlates Android screen-capture-capable behavior from an app identity with runtime context showing that foreground content from another app is being captured outside expected user-driven workflows. The strongest Android evidence is MediaProjection-like capture initiation, accessibility-assisted observation of foreground UI content, or privileged screencap or screenrecord behavior, followed by screenshot or video artifact creation, buffer growth, or outbound transfer. The detection is strengthened when the capturing app is backgrounded, operates as a foreground service without clear user-driven recording intent, captures while another sensitive app is foregrounded, runs with accessibility or elevated access inconsistent with its role, or performs capture without recent user interaction.

Android
AnalyticMobile

AN1765: Analytic 1765

Monitor for pseudo-randomly generated domain names based on frequency analysis, Markov chains, entropy, proportion of dictionary words, ratio of vowels to other characters, and more.[1] Additionally, check if the suspicious domain has been recently registered, if it has been rarely visited, or if the domain had a spike in activity after being dormant.[2] Content delivery network (CDN) domains may trigger these detections due to the format of their domain names.

Android
AnalyticMobile

AN1766: Analytic 1766

Monitor for pseudo-randomly generated domain names based on frequency analysis, Markov chains, entropy, proportion of dictionary words, ratio of vowels to other characters, and more.[1] Additionally, check if the suspicious domain has been recently registered, if it has been rarely visited, or if the domain had a spike in activity after being dormant.[2] Content delivery network (CDN) domains may trigger these detections due to the format of their domain names.

iOS
AnalyticMobile

AN1767: Analytic 1767

The defender correlates recent access to locally collected or protected data with subsequent compression, packaging, or encryption behavior inside the same app context, followed by creation of archive-like or high-entropy output and optional near-term network transmission. The analytic prioritizes Android runtime and storage effects: application data access or sensor-derived collection, compression/encryption framework use, archive/blob creation in app-accessible storage, and background or device-locked execution inconsistent with the app’s declared function.

Android
AnalyticMobile

AN1768: Analytic 1768

The defender correlates managed-app data access and lifecycle context with indirect evidence of packaging or encryption prior to outbound transfer. Because direct archive/compression visibility is generally weaker on iOS, the analytic anchors on app lifecycle state, file/output effects observable by mobile EDR where available, managed app role via MDM, and downstream network uploads that closely follow creation of new large or high-entropy local artifacts. Confidence is lower when only network effects are available.

iOS
AnalyticMobile

AN1769: Analytic 1769

The user may view applications with administrator access through the device settings and may also notice if user data is inexplicably missing. Command-line activities can potentially be detected through Mobile Threat Defense (MTD) integrations with lower-level OS APIs. This could grant the MTD agents access to running processes and their parameters, potentially detecting file deletion processes. The user is prompted for approval when an application requests device administrator permissions. Application vetting services may detect API calls for deleting files. Mobile security products can detect which applications can request device administrator permissions. Application vetting services could be extra scrutinous of applications that request device administrator permissions.

Android
AnalyticMobile

AN1770: Analytic 1770

The defender correlates outbound communication from an application or service to legitimate external web platforms with mobile runtime context showing that the communication is inconsistent with the app's approved role, expected destinations, user interaction pattern, or device state. The strongest Android evidence is a managed or installed app communicating with cloud storage, social, messaging, code-hosting, or generic HTTPS web-service infrastructure shortly after background activation, protected-resource use, or local staging activity, especially when the device is locked, user interaction is absent, or the app's historical network baseline does not include that service class.

Android
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.