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More Than 1 Million Android Devices Rooted By Gooligan Malware
Reader Trailrunner7 writes: A new version of an existing piece of malware has emerged in some third-party Android app stores and researchers say it has infected more than a million devices around the world, giving the attackers full access…
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Reader Trailrunner7 writes: A new version of an existing piece of malware has emerged in some third-party Android app stores and researchers say it has infected more than a million devices around the world, giving the attackers full access to victims' Google accounts in the process. The malware campaign, known as Gooligan, is a variant of older malware called Ghost Push that has been found in many malicious apps. Researchers at Check Point recently discovered several dozen apps, mainly in third-party app stores, that contain the malware, which is designed to download and install other apps and generate income for the attackers through click fraud. The malware uses phantom clicks on ads to generate revenue for the attackers through pay-per-install schemes, but that's not the main concern for victims. The Gooligan malware also employs exploits that take advantage of several known vulnerabilities in older versions of Android, including Kit Kat and Lollipop to install a rootlet that is capable of stealing users' Google credentials.Although the malware has full remote access to infected devices, it doesn't appear to be stealing user data, but rather is content to go the click-fraud route. Most users are being infected through the installation of apps that appear to be legitimate but contain the Gooligan code, a familiar infection routine for mobile devices.
1. Sofort-Triage & Abwehrmaßnahmen
IR-PLAYBOOK-VULN-REMEDIATIONMEDIUM
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SOC Incident Playbook: Vulnerability Remediation & Verification
1-Click Detection Engineering: Multi-Dialect SIEM Rules5 Formate
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Syntax validiert (0 Fehler)
title: Detect Exploitation - More Than 1 Million Android Devices Rooted By Gooligan Malware
id: 52389314-93ea-4100-a06d-8789550d2c58
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
- https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-25
logsource:
category: network_connection
product: any
detection:
selection:
CommandLine|contains:
- 'exploit'
condition: selection
falsepositives:
- Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
- attack.initial_accessSyntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
meta:
author = "iShareStuff CTI Automated Detection Engine"
date = "2026-09-25"
description = "YARA Signature for "
strings:
$str = "More Than 1 Million Android De" ascii wide
condition:
any of them
}Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("More Than 1 Million Android Devices Root")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - countSyntax validiert (0 Fehler)
message: "*More Than 1 Million Android Devices Root*"Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "More Than 1 Million Android Devices Root"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc2. Cyber Threat Intelligence & Forensik
CTI Threat Relationship Graph3 Knoten / 2 Relationen
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MITRE ATT&CK Matrix Navigator 14 Taktiken
Reconnaissance
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Resource Development
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Initial Access
Execution
Persistence
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Privilege Escalation
Defense Evasion
Credential Access
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Discovery
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Lateral Movement
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Collection
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Command and Control
Exfiltration
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Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:
Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich More Than 1 Million Android Devices Root.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.
🛡️ Angriffsfläche & Exposure
Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.
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- 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
- 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
- 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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