Live Active security incident? Get immediate response
MITRE ATT&CK® Malware

S1126: Phenakite

Phenakite is a mobile malware that is used by APT-C-23 to target iOS devices. According to several reports, Phenakite was developed to fill a tooling gap and to target those who owned iPhones instead of Windows desktops or Android phones.[1][2]

MobileS1126MalwareObject v1.0 Modified
Glexia's Take

Analyst context for executives and security teams

Analyst confidence Medium

Phenakite matters because it represents mobile malware aimed at iOS users, not just traditional desktop or Android targets. For leaders, the practical issue is whether high-risk personnel using iPhones are covered by the same security, incident response, and evidence expectations as managed endpoints. The ATT&CK relationships show behaviors consistent with privilege escalation, input capture, local data collection, contact and SMS access, microphone/camera collection, tool transfer, and masquerading.

Executive priority

Treat Phenakite as a prompt to validate mobile security governance for iOS: who owns visibility, how quickly suspicious devices can be triaged, and whether executive, legal, communications, and field personnel have enforceable controls. Because ATT&CK provides no detection text for this object, priority should be on confirming telemetry availability, mobile device management posture, patch discipline, and incident response procedures rather than assuming SOC coverage exists.

Technical view

SOC and IR teams should map iOS mobile telemetry against the related techniques: Exploitation for Privilege Escalation, Input Capture, System Information Discovery, Audio Capture, Video Capture, Data from Local System, Ingress Tool Transfer, Contact List, SMS Messages, and Match Legitimate Name or Location. Validate whether mobile tooling can surface unusual permission use, suspicious application identity or placement, jailbreak or privilege-escalation indicators, unexpected access to contacts/SMS/local data, and anomalous network transfer activity from iOS devices. Since no official ATT&CK detection guidance is provided, detections should be derived from local MDM/EDR/mobile threat defense capabilities and tested with benign administrative and privacy-preserving scenarios.

Likely telemetry

  • iOS device inventory, OS version, patch level, and jailbreak or integrity status
  • Mobile device management compliance records and configuration profiles
  • Application inventory, signing/source metadata, names, icons, and install locations where available
  • Application permission grants or prompts for microphone, camera, contacts, and related sensitive access
  • Mobile security alerts for privilege escalation, suspicious app behavior, or masquerading

Detection direction

  • Confirm whether iOS devices are actually monitored; many endpoint-centric SOC programs have limited mobile visibility.
  • Tune for suspicious combinations rather than single events: sensitive permission use plus unusual app identity, device integrity issues, or unexpected network transfer is more meaningful than a permission grant alone.
  • Review false positives from legitimate communications, camera, conferencing, and contact-management applications before escalating.
  • Use the relationship context to build coverage tests for collection behaviors: contacts, SMS where accessible, local files, audio/video, and input capture indicators.
  • Track mobile patch and OS version exposure because the related privilege escalation behavior depends on exploitable software weaknesses.

Mitigation priorities

  • Prioritize iOS patching and supported OS versions for managed devices, especially high-risk users.
  • Enforce MDM baselines for application installation sources, device integrity, configuration compliance, and rapid lock/wipe or containment workflows.
  • Limit and review sensitive permissions such as microphone, camera, contacts, and local data access where business processes allow.
  • Maintain mobile incident response procedures, including escalation paths, privacy/legal handling, and evidence collection expectations.
  • Educate targeted user groups that mobile devices are in scope for security reporting, especially when prompts, app identities, or device behavior appear unusual.
Analyst notes and limits

The supplied ATT&CK object identifies Phenakite as iOS mobile malware used by APT-C-23 and cites reporting that it was developed to address targeting of iPhone users. The most useful defensive value comes from the related mobile techniques, which indicate the types of collection, privilege, transfer, and masquerading behaviors defenders should validate against their mobile controls.

ATT&CK provides no official detection guidance, no tactics for this malware object, and no aliases or labels in the supplied fields. This summary does not establish current activity, customer exposure, or guaranteed detectability. Local device management, mobile security telemetry, legal constraints, and user population risk are required to determine actual coverage.

Official MITRE ATT&CK definition

Phenakite

Phenakite is a mobile malware that is used by APT-C-23 to target iOS devices. According to several reports, Phenakite was developed to fill a tooling gap and to target those who owned iPhones instead of Windows desktops or Android phones.[1][2]

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.

ATT&CK relationship table

Techniques used

This mirrors the MITRE pattern of making group, software, campaign, and technique relationships scannable. Relationship notes come from mirrored ATT&CK relationship text when available.

10 rows
Domain ID Name Relationship / procedure
Mobile T1636.004 SMS Messages Sub-technique

Phenakite can read SMS messages.Citationfb_arid_viper

Mobile T1655.001 Match Legitimate Name or Location Sub-technique

Phenakite can masquerade as the chat application "Magic Smile."Citationfb_arid_viper

Mobile T1533 Data from Local System

Phenakite can collect and exfiltrate WhatsApp media, photos and files with specific extensions, such as .pdf and .doc.Citationfb_arid_viper

Mobile T1544 Ingress Tool Transfer

Phenakite can download additional malware to the victim device.Citationfb_arid_viper

Mobile T1429 Audio Capture

Phenakite can record phone calls.Citationfb_arid_viper

Mobile T1417 Input Capture

Phenakite has used phishing sites for iCloud and Facebook if either of those were used for authentication during the chat sign up process.Citationfb_arid_viper

Mobile T1426 System Information Discovery

Phenakite can collect device metadata.Citationfb_arid_viper

Mobile T1512 Video Capture

Phenakite can capture pictures and videos.Citationfb_arid_viper

Mobile T1636.003 Contact List Sub-technique

Phenakite can exfiltrate the victim device’s contact list.Citationfb_arid_viper

Mobile T1404 Exploitation for Privilege Escalation

Phenakite has included exploits for jailbreaking infected devices.Citationfb_arid_viper

Associated objects

Groups, software, and campaigns

Group Mobile

G1028: APT-C-23

APT-C-23 is a threat group that has been active since at least 2014.[1] APT-C-23 has primarily focused its operations on the Middle East, including Israeli military assets. APT-C-23 has developed mobile spyware targeting Android and iOS devices since 2017.[2]

Relationship explorer

All related ATT&CK context

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
19.1
Object version
1.0
Created
Modified
Raw hash
991c7dedcae30e4f...
Imported snapshots across ATT&CK releases (1)
Release Bundle imported Object version Modified Status Raw hash
19.1 1.0 Current bundle 991c7dedcae3…
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]
    sentinelone_israel_hamas_war

    Hegel, T., Milenkoski, A. (2023, October 24). The Israel-Hamas War | Cyber Domain State-Sponsored Activity of Interest. Retrieved March 4, 2024.

    Open source URL
  2. [2]
    fb_arid_viper

    Flossman, M., Scott, M. (2021, April). Technical Paper // Taking Action Against Arid Viper. Retrieved November 17, 2024.

    Open source URL
  3. [3]
    mitre-attack S1126
    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.