T1646: Exfiltration Over C2 Channel
Adversaries may steal data by exfiltrating it over an existing command and control channel. Stolen data is encoded into the normal communications channel using the same protocol as command and control communications.
Security context for executives and security teams
T1646: Exfiltration Over C2 Channel describes Adversaries may steal data by exfiltrating it over an existing command and control channel. Stolen data is encoded into the normal communications channel using the same protocol as command and control communications.
Executive priority
T1646: Exfiltration Over C2 Channel 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 T1646: Exfiltration Over C2 Channel by reviewing the official ATT&CK relationships, mapped tactics (exfiltration), supported platforms (Android, iOS), and available local telemetry before making detection or mitigation decisions.
Likely telemetry
- Official ATT&CK relationships and object metadata
Detection direction
- Validate whether T1646: Exfiltration Over C2 Channel 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.
Exfiltration Over C2 Channel
Adversaries may steal data by exfiltrating it over an existing command and control channel. Stolen data is encoded into the normal communications channel using the same protocol as command and control communications.
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
S0551: GoldenEagle
GoldenEagle is a piece of Android malware that has been used in targeting of Uyghurs, Muslims, Tibetans, individuals in Turkey, and individuals in China. Samples have been found as early as 2012.[1]
S1077: Hornbill
S1095: AhRat
AhRat is an Android remote access tool based on the open-source AhMyth remote access tool. AhRat initially spread in August 2022 on the Google Play Store via an update containing malicious code to the previously benign application, “iRecorder – Screen Recorder,” which itself was released in September 2021.[1]
S0490: XLoader for iOS
XLoader for iOS is a malicious iOS application that is capable of gathering system information.[1] It is tracked separately from the XLoader for Android.
S1061: AbstractEmu
AbstractEmu is mobile malware that was first seen in Google Play and other third-party stores in October 2021. It was discovered in 19 Android applications, of which at least 7 abused known Android exploits for obtaining root permissions. AbstractEmu was observed primarily impacting users in the United States, however victims are believed to be across a total of 17 countries.[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]
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]
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]
S1080: Fakecalls
S1094: BRATA
BRATA (Brazilian Remote Access Tool, Android), is an evolving Android malware strain, detected in late 2018 and again in late 2021. Originating in Brazil, BRATA was later also found in the UK, Poland, Italy, Spain, and USA, where it is believed to have targeted financial institutions such as banks. There are currently three known variants of BRATA.[1][2][3]
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]
S0507: eSurv
C0016: Operation Dust Storm
Operation Dust Storm was a long-standing persistent cyber espionage campaign that targeted multiple industries in Japan, South Korea, the United States, Europe, and several Southeast Asian countries. By 2015, the Operation Dust Storm threat actors shifted from government and defense-related intelligence targets to Japanese companies or Japanese subdivisions of larger foreign organizations supporting Japan's critical infrastructure, including electricity generation, oil and natural gas, finance, transportation, and construction.[1]
Operation Dust Storm threat actors also began to use Android backdoors in their operations by 2015, with all identified victims at the time residing in Japan or South Korea.[1]
C0033: C0033
C0033 was a PROMETHIUM campaign during which they used StrongPity to target Android users. C0033 was the first publicly documented mobile campaign for PROMETHIUM, who previously used Windows-based techniques.[1]
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 | 1.1 | Current bundle | 0ac22874c4e9… | ||
| 19.1 | 1.1 | Older bundle | 0ac22874c4e9… |
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]NIST Mobile Threat CatalogueAPP-29Open source URL
- [2]mitre-attackT1646Open 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.
