Mobogenie
Table of Contents
Overview
Adware:Win32/Mobogenie is a highly intrusive Potentially Unwanted Program (PUP) that masquerades as a legitimate desktop management application for Android smartphones. While it technically provides basic file transfer capabilities, its primary function is aggressive monetization through bundled adware, browser hijacking, and, critically, pushing unwanted, potentially malicious APKs (Android applications) to devices connected to the infected PC.
Understanding Mobogenie (Cross-Platform Threat Vector)
To a Windows end-user, Mobogenie manifests as annoying pop-ups and a hijacked browser homepage. However, the true threat lies in its interaction with mobile devices. When a user connects their Android phone via USB, Mobogenie uses the ADB (Android Debug Bridge) connection to silently install unwanted applications directly onto the smartphone. For a security team, Mobogenie represents a unique threat vector that bridges the gap between a compromised workstation and a corporate mobile device.
Execution and Monetization Mechanics
Mobogenie is heavily distributed via software bundlers (Pay-Per-Install networks) (`T1189`). When executed on Windows (`T1204.002`), it establishes deep persistence (`T1547.001`) and heavily modifies browser settings (`T1112`) to inject ads. Furthermore, it operates as a background service constantly scanning for connected USB devices. If an Android device with 'USB Debugging' enabled is connected, Mobogenie acts as a rogue app store, silently pushing APKs (which generate affiliate revenue for the Mobogenie creators) to the phone, bypassing the Google Play Store entirely.
Indicators of Compromise & Impact
The impact is dual-pronged: severe adware symptoms on the Windows host and unauthorized application installations on connected mobile devices. Host-based IoCs include the presence of `Mobogenie.exe`, EDR alerts for aggressive modifications to browser shortcut properties, and the installation of associated toolbars. A critical IoC is the presence of unexpected applications appearing on Android devices immediately after connecting them to the corporate network.
MITRE ATT&CK Techniques
Observed techniques used by this family, mapped to our technical analysis hubs and the official MITRE ATT&CK framework:
| Technique | Name | Tactic | Official Spec |
|---|---|---|---|
T1189 | Drive-by Compromise (Bundled installations) | Initial Access | ATT&CK ↗ |
T1562.001 | Impair Defenses: Disable or Modify Tools (Browser Hijacking) | Defense Evasion | ATT&CK ↗ |
T1112 | Modify Registry (Changing default search providers) | Defense Evasion | ATT&CK ↗ |
T1547.001 | Boot or Logon Autostart Execution | Persistence | ATT&CK ↗ |
MITRE D3FEND™ Defensive Countermeasures
Defensive techniques mapped to counter the offensive tradecraft observed in this family (via the MITRE D3FEND matrix):
| D3FEND ID | Countermeasure Name | Tactic | Countered ATT&CK | Defensive Guidance |
|---|---|---|---|---|
D3-RVM | Registry Value Modification Analysis | Detect | T1112 | Log Windows Event ID 4657 to monitor unauthorized modifications to system configuration and security settings. |
D3-RBI | Remote Browser Isolation | Isolate | T1189 | Execute untrusted web browsing sessions in disposable cloud containers to isolate drive-by exploits from local endpoints. |
D3-RPM | Registry Persistence Monitoring | Detect | T1547.001 | Audit and restrict write privileges to user and machine-level Registry Run/RunOnce keys using Endpoint Privilege Management. |
D3-STA | Security Tool Anti-Tamper Enforcement | Harden | T1562.001 | Block unauthorized modification of antivirus registry flags and prevent stopping security agent services. |
Tiered Detection Rules (Cisco CAIRN Model)
Modern threat detection requires multi-layered rule engineering. We classify detections into three operational tiers based on signal fidelity:
Tier 1 Primitive Artifact Rule (Fast Triage)
Matches raw strings and file markers. Vulnerable to binary repacking and simple obfuscation.
rule MALWARE_WIN_MOBOGENIE_T1_ARTIFACT {
meta:
description = "Tier 1 Primitive Artifact: Raw string matches for Mobogenie"
tier = "T1 - Primitive Artifact"
confidence = "Low-Medium (Fast Triage)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
$s1 = "mobogenie" ascii wide nocase
condition:
uint16(0) == 0x5a4d and any of them
}Tier 2 Behavioral Context Rule (Process Chains & Sigma)
Tracks parent-child process anomalies and suspicious scripting telemetry. Resilient against file renames.
title: SystemHelpDesk Detection - Mobogenie (Advanced Threat) Execution & Triage
id: ab5e7602-a305-5a33-8c59-c677c4f0364f
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
with the Mobogenie malware family. Detects proxy execution, reflective DLL loading,
and remote command injection associated with modular enterprise backdoors.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/mobogenie
- https://malware-families-catalog.systemhelpdesk.com/defensive/backdoor-rat-protection
- https://malware-families-catalog.systemhelpdesk.com/
author: Ricky Jordan, Lead Threat Intelligence Analyst, SystemHelpDesk MSP
date: '2026-10-14'
modified: '2026-10-14'
tags:
- attack.advanced-threat
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1112
- attack.t1562_001
- attack.t1547_001
- attack.t1189
logsource:
category: process_creation
product: windows
detection:
selection_process:
Image|endswith:
- \powershell.exe
- \cmd.exe
- \rundll32.exe
- \regsvr32.exe
CommandLine|contains:
- DownloadString
- IEX(
- '/s /n /u /i:'
- sc create
- start-process
condition: selection_process
falsepositives:
- Legitimate enterprise administrative scripts during approved change windows
- Authorized IT software deployment utilities and backup management agents
level: highTier 3 Attribution Fingerprint Rule (High Fidelity)
Deep signature matching distinctive operational fingerprints and payload characteristics.
rule MALWARE_WIN_MOBOGENIE_T3_ATTRIBUTION {
meta:
description = "Tier 3 Attribution Fingerprint: Heuristic detection for Mobogenie tradecraft"
tier = "T3 - Attribution Fingerprint"
confidence = "High (Confirmed Family Signature)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
// Core family identifier & heuristic payload signatures
$attrib_str = "mobogenie" ascii wide nocase
$pe_magic = "MZ" ascii
$net_marker = "http" ascii nocase
condition:
uint16(0) == 0x5a4d and ($attrib_str and $net_marker) and filesize < 15MB
}Containment & Response Steps
Ordered checklist for responders. Adapt to your environment and engage professional support for active incidents.
- Use the Windows Control Panel to thoroughly uninstall the 'Mobogenie' application and any toolbars installed on the same date.
- Reset all installed web browsers on the Windows host to their default settings to clear out hijacked homepages and search engines.
- Run a comprehensive anti-malware scan to ensure no deeply embedded secondary payloads remain on the Windows host.
- Crucially, audit any Android devices that were connected to the infected machine and manually remove any unverified or unexpected applications.
What to Avoid
Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.
- Do not allow users to enable 'USB Debugging' on corporate Android devices unless strictly necessary for development, as this enables threats like Mobogenie.
- Avoid dismissing Mobogenie as just 'annoying adware'; its ability to push payloads to mobile devices makes it a significant security risk.
References & External Analysis
- Search "mobogenie" on VirusTotal (External Analysis)
- Search "mobogenie" on Any.Run (Sandbox Sandbox)
- Search "mobogenie" on MalwareBazaar (Malware Samples)
Frequently Asked Questions
What is Mobogenie and what threat category does it belong to?
Mobogenie is classified as a Advanced Threat. Documented across security telemetry, it is engineered to execute unauthorized operations, establish persistent footholds on target endpoints, and facilitate malicious campaigns targeting enterprise and individual environments.
How does Mobogenie establish persistence and evade defensive controls?
Mobogenie typically establishes persistence through registry run keys, scheduled tasks, or service installations, while evading signature-based antivirus solutions through code obfuscation, memory injection, or anti-analysis sandbox checks.
What are the essential incident response steps for mitigating a Mobogenie compromise?
Security teams responding to Mobogenie should immediately isolate affected endpoints from the network, perform memory triage to capture volatile forensic artifacts, audit registry and startup persistence mechanisms, revoke exposed user credentials, and restore systems from verified, clean backups.
What lateral movement and credential access tactics does Mobogenie leverage in enterprise intrusions?
Mobogenie frequently utilizes privileged account harvesting techniques such as LSASS memory dumping, Kerberoasting, and token impersonation to escalate privileges. Once administrative credentials are acquired, it pivots across the victim network utilizing living-off-the-land binaries (LOLBins) such as WMI, PowerShell remoting, and PsExec, or abuses remote desktop protocols (RDP) to reach critical internal repositories and domain controllers.
How does Mobogenie maintain covert communications and evade perimeter network monitoring?
Mobogenie often relies on multi-stage command and control (C2) architectures utilizing encrypted protocols over standard web ports (HTTPS/443 or DNS tunneling) to blend in with legitimate enterprise network traffic. Many variants incorporate proxy networks, domain fronting, or cloud services (such as Microsoft Graph API, Google Drive, or Telegram) to masquerade C2 channels, bypassing traditional signature-based egress filtering.
How do I remove the Mobogenie Advanced_Threat from Windows?
Manual removal of Mobogenie is highly discouraged as it may leave persistence mechanisms intact. We recommend disconnecting the device from the internet and utilizing a professional incident response service or enterprise-grade EDR software to conduct a full forensic sweep.
Is Mobogenie a virus or a Advanced_Threat?
Mobogenie is classified as a Advanced_Threat. Unlike traditional viruses that infect files, modern malware like Mobogenie typically operates as a standalone payload designed to compromise systems, steal data, or deploy secondary stage implants.
What are the main symptoms of a Mobogenie infection?
Symptoms of Mobogenie can include unexpected system slowness, unauthorized outbound network traffic to unknown IP addresses, disabled security software, and suspicious background processes running from AppData or Temp directories.
Protect Your Network Against Advanced_Threats
Want to prevent Mobogenie and similar threats from compromising your organization? Read our comprehensive defensive guide: Think You've Been Hacked? What To Do First.
📣 Threat Intel Correction or Update?
Notice an outdated IOC, unlisted alias, or disputed attribution? Threat researchers are invited to propose an update on GitHub or contact the SystemHelpDesk research desk. All community revisions are credited in our public CHANGELOG.
Machine-readable
Get this profile as JSON: https://malware-families-catalog.systemhelpdesk.com/api/mobogenie.json
Ecosystem & Interactive Environments
This profile is part of the Malware Families Catalog, a public dataset of 2,899 malware families. The catalog is also published across our ecosystem: Hugging Face, Kaggle, Zenodo, Replit, StackBlitz, CodeSandbox, and CodePen.