T1575: Native API
Adversaries may use Android’s Native Development Kit (NDK) to write native functions that can achieve execution of binaries or functions. Like system calls on a traditional desktop operating system, native code achieves execution on a lower level than normal Android SDK calls.
The NDK allows developers to write native code in C or C++ that is compiled directly to machine code, avoiding all intermediate languages and steps in compilation that higher level languages, like Java, typically have. The Java Native Interface (JNI) is the component that allows Java functions in the Android app to call functions in a native library.[1]
Adversaries may also choose to use native functions to execute malicious code since native actions are typically much more difficult to analyze than standard, non-native behaviors.[2]
Security context for executives and security teams
T1575: Native API describes Adversaries may use Android’s Native Development Kit (NDK) to write native functions that can achieve execution of binaries or functions. Like system calls on a traditional desktop operating system, native code achieves execution on a lower level than normal Android SDK calls. The NDK allows developers to write native code in C or C++ that is compiled directly to machine code, avoiding all intermediate languages and steps in compilation that higher level languages, like Java, typically have. The Java Native Interfa...
Executive priority
T1575: Native API is an official MITRE ATT&CK technique. Glexia treats it as defensive behavior context for prioritizing monitoring, control validation, and response planning without using the object by itself as an attribution claim.
Technical view
Security teams should validate T1575: Native API by reviewing the official ATT&CK relationships, mapped tactics (defense-evasion, execution), supported platforms (Android), and available local telemetry before making detection or mitigation decisions.
Likely telemetry
- Official ATT&CK relationships and object metadata
- Identity, privilege, and authentication events
- Endpoint process, command-line, and script execution logs
Detection direction
- Validate whether T1575: Native API appears in your detection coverage and tabletop scenarios.
- Use the object to align executive risk language with SOC, incident response, and detection engineering work.
- Do not treat ATT&CK relationship context as attribution without corroborating evidence.
Mitigation priorities
- Map the object to existing controls and identify missing telemetry or response ownership.
- Prioritize mitigations that reduce exposure on the listed platforms and tactics.
- Review adjacent ATT&CK relationships before changing policy, detections, or reporting language.
Additional notes and limits
Baseline Glexia take generated from the official MITRE ATT&CK STIX object, source hash, tactics, platforms, and detection fields. It is safe to replace with a richer model-generated take for the same source hash later.
This baseline take is source-grounded and schema-validated, but it does not include environment-specific telemetry, incident evidence, or threat-intelligence corroboration.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Native API
Adversaries may use Android’s Native Development Kit (NDK) to write native functions that can achieve execution of binaries or functions. Like system calls on a traditional desktop operating system, native code achieves execution on a lower level than normal Android SDK calls.
The NDK allows developers to write native code in C or C++ that is compiled directly to machine code, avoiding all intermediate languages and steps in compilation that higher level languages, like Java, typically have. The Java Native Interface (JNI) is the component that allows Java functions in the Android app to call functions in a native library.[1]
Adversaries may also choose to use native functions to execute malicious code since native actions are typically much more difficult to analyze than standard, non-native behaviors.[2]
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.
Groups, software, and campaigns
S0529: CarbonSteal
CarbonSteal is one of a family of four surveillanceware tools that share a common C2 infrastructure. CarbonSteal primarily deals with audio surveillance. [1]
S0432: Bread
Bread was a large-scale billing fraud malware family known for employing many different cloaking and obfuscation techniques in an attempt to continuously evade Google Play Store’s malware detection. 1,700 unique Bread apps were detected and removed from the Google Play Store before being downloaded by users.[1]
S1083: Chameleon
Chameleon is an Android banking trojan that can leverage Android’s Accessibility Services to perform malicious activities. Believed to have been first active in January 2023, Chameleon has been observed targeting users in Australia and Poland by masquerading as official applications. A new variant of Chameleon has expanded its targets to include Android users in the United Kingdom and Italy.[1][2]
S9005: DocSwap
DocSwap is an Android malware first identified in 2025, and attributed to Kimsuky. DocSwap’s name is a combination of its Korean name “문서열람 인증 앱” (Document Viewing Authentication App) and a phishing page masquerading as CoinSwap at the C2 address. Based on DocSwap’s name and Korean-language strings, DocSwap potentially targets mobile device users in South Korea. Several variants of DocSwap exist; one of the latest samples indicates that the adversary added a native decryption function that decrypts an internal APK.[1][2]
S1185: LightSpy
First observed in 2018, LightSpy is a modular malware family that initially targeted iOS devices in Southern Asia before expanding to Android and macOS platforms. It consists of a downloader, a main executable that manages network communications, and functionality-specific modules, typically implemented as `.dylib` files (iOS, macOS) or `.apk` files (Android). LightSpy can collect VoIP call recordings, SMS messages, and credential stores, which are then exfiltrated to a command and control (C2) server.[1]
S0555: CHEMISTGAMES
CHEMISTGAMES is a modular backdoor that has been deployed by Sandworm Team.[1]
S0540: Asacub
S0544: HenBox
S1231: GodFather
GodFather is an Android banking malware that uses virtualization to mimic legitimate applications and abuses accessibility services and other permissions to evade detection and exfiltrate sensitive data. First identified in 2020, GodFather targets nearly 500 banking applications, cryptocurrency wallets, and exchanges worldwide; however, its virtualization-based attacks have primarily focused on several Turkish financial institutions. This capability enables threat actors to steal banking credentials and other sensitive account information. [1][2]
S0545: TERRACOTTA
TERRACOTTA is an ad fraud botnet that has been capable of generating over 2 billion fraudulent requests per week.[1]
C0054: Operation Triangulation
Operation Triangulation is a mobile campaign targeting iOS devices.[1] The unidentified actors used zero-click exploits in iMessage attachments to gain Initial Access, then executed exploits and validators, such as Binary Validator before finally executing the TriangleDB implant.
All related ATT&CK context
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(2)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.2 | 2.0 | Current bundle | 5dbaa699e30e… | ||
| 19.1 | 2.0 | Older bundle | 5dbaa699e30e… |
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]Google NDK Getting Started
Google. (2019, December 27). Getting Started with the NDK. Retrieved April 28, 2020.
Open source URL - [2]MITRE App Vetting Effectiveness
M. Peck, C. Northern. (2016, August 22). Analyzing the Effectiveness of App Vetting Tools in the Enterprise. Retrieved April 28, 2020.
Open source URL - [3]mitre-attackT1575Open 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.