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MITRE ATT&CK® Technique

T1424: Process Discovery

MITRE ATT&CK T1424: Process Discovery Technique details for Android, iOS, with detection guidance, relationships and mapped CVEs.

MobileT1424TechniqueObject v2.1Modified
Glexia's Take · Automated analysis

Security context for executives and security teams

Automation confidenceMedium

T1424: Process Discovery describes Adversaries may attempt to get information about running processes on a device. Information obtained could be used to gain an understanding of common software/applications running on devices within a network. Adversaries may use the information from [Process Discovery](https://attack.mitre.org/techniques/T1424) during automated discovery to shape follow-on behaviors, including whether or not the adversary fully infects the target and/or attempts specific actions. Recent Android security enhancements have made it mo...

Executive priority

T1424: Process Discovery 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 T1424: Process Discovery by reviewing the official ATT&CK relationships, mapped tactics (discovery), supported platforms (Android, iOS), and available local telemetry before making detection or mitigation decisions.

Likely telemetry

  • Official ATT&CK relationships and object metadata
  • Endpoint process, command-line, and script execution logs

Detection direction

  • Validate whether T1424: Process Discovery 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.

Official MITRE ATT&CK definition

Process Discovery

No official description is available in the imported ATT&CK source object.

View the same entry on attack.mitre.org (MITRE-hosted reference; in-page links above use the Glexia ATT&CK library.)

Glexia analysis

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.

Associated objects

Groups, software, and campaigns

MalwareMobile

S0411: Rotexy

Rotexy is an Android banking malware that has evolved over several years. It was originally an SMS spyware Trojan first spotted in October 2014, and since then has evolved to contain more features, including ransomware functionality.[1]

Android
MalwareMobile

S1225: CherryBlos

CherryBlos is an Android malware that steals credentials and redirects cryptocurrency to adversary-controlled wallets. CherryBlos was labelled Robot 999 in its first appearance in April 2023; since then, various aliases have been used, including GPTalk, Happy Miner, and SynthNet. The threat actors behind CherryBlos uploaded the malware to different Google Play regions, such as Malaysia, Vietnam, Indonesia, Philippines, Uganda, and Mexico.[1]

Android
MalwareMobile

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]

AndroidWindowsiOS
MalwareMobile

S1055: SharkBot

SharkBot is a banking malware, first discovered in October 2021, that tries to initiate money transfers directly from compromised devices by abusing Accessibility Services.[1]

Android
MalwareMobile

S0311: YiSpecter

YiSpecter is a family of iOS and Android malware, first detected in November 2014, targeting users in mainland China and Taiwan. YiSpecter abuses private APIs in iOS to infect both jailbroken and non-jailbroken devices.[1]

AndroidiOS
MalwareMobile

S0422: Anubis

Anubis is Android malware that was originally used for cyber espionage, and has been retooled as a banking trojan.[1]

Android
MalwareMobile

S0440: Agent Smith

Agent Smith is mobile malware that generates financial gain by replacing legitimate applications on devices with malicious versions that include fraudulent ads. As of July 2019 Agent Smith had infected around 25 million devices, primarily targeting India though effects had been observed in other Asian countries as well as Saudi Arabia, the United Kingdom, and the United States.[1]

Android
MalwareMobile

S0544: HenBox

HenBox is Android malware that attempts to only execute on Xiaomi devices running the MIUI operating system. HenBox has primarily been used to target Uyghurs, a minority Turkic ethnic group.[1]

Android
MalwareMobile

S1215: Binary Validator

Binary Validator is a Mach-O binary file used during Operation Triangulation.[1] Binary Validator first collects information about the device, such as the device's phone number and a list of installed applications, before the deployment of the TriangleDB implant. After the actions are completed and the data is collected, Binary Validator encrypts and sends the data to the C2 server, and in turn, the C2 server sends the TriangleDB implant.

iOS
Relationship explorer

All related ATT&CK context

Mitigations

Mitigation direction

Change history

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.

ATT&CK release
19.2
Object version
2.1
Created
Modified
Raw hash
54de9c3140c35357...
Imported snapshots across ATT&CK releases(2)
ReleaseBundle importedObject versionModifiedStatusRaw hash
19.22.1Current bundle54de9c3140c3…
19.12.1Older bundle54de9c3140c3…
Raw source

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.

Source references

External references and citations

MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.

  1. [1]
    Android-SELinuxChanges

    Various. (2016, March 31). Overly restrictive SELinux filesystem permissions in Android N. Retrieved December 21, 2016.

    Open source URL
  2. [2]
    mitre-attackT1424
    Open source URL
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.