Incident Score: Analysis & Impact (MEDZYPTELMETTIKGOOYOU1770029110)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Google's Cyber Attack and lateral movement inside company's environment.
- Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
- How Rankiteo’s incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts Google Rankiteo cyber scoring and cyber rating.
- Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the Google breach identified under incident ID MEDZYPTELMETTIKGOOYOU1770029110.
The analysis begins with a detailed overview of Google's information like the linkedin page: https://www.linkedin.com/company/google, the number of followers: 40050213, the industry type: Software Development and the number of employees: 327709 employees
After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 450 and after the incident was 438 with a difference of -12 which is could be a good indicator of the severity and impact of the incident.
In the next step of the video, we will analyze in more details the incident and the impact it had on Google and their customers.
General Android users recently reported "Arsink: Android Malware Exploits Cloud Tools for Large-Scale Data Theft", a noteworthy cybersecurity incident.
A sophisticated Android remote access trojan (RAT) dubbed Arsink has been uncovered, leveraging free cloud services to steal sensitive data and remotely control infected devices.
The disruption is felt across the environment, affecting Android devices, and exposing Device details, SMS messages (including OTPs) and Call logs, with nearly 45,000+ victim IP addresses (exact records unclear) records at risk.
In response, moved swiftly to contain the threat with measures like Google dismantled malicious Firebase endpoints, Apps Scripts, and accounts; Google Play Protect blocks known Arsink samples, and began remediation that includes Behavior-based detection, blocking malicious APKs, cloud service takedowns.
The case underscores how Ongoing (malware variants rapidly evolving), teams are taking away lessons such as Malware increasingly abuses legitimate cloud services for C2 operations, making detection harder. Behavior-based detection is critical for enterprises, especially for work-related credential theft via SMS interception, and recommending next steps like Avoid sideloading APKs from untrusted sources, Use Google Play Protect to block malicious apps and Monitor for unusual cloud service traffic.
Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.
The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.
MITRE ATT&CK® Correlation Analysis
Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Phishing: Spearphishing Link (T1566.001) with high confidence (90%), supported by evidence indicating distributed through Telegram channels, Discord posts, and MediaFire links and Deliver Malicious App via Authorized App Store (T1476) with moderate to high confidence (70%), supported by evidence indicating disguising it as modified or pro versions of popular apps (Google, WhatsApp, etc.). Under the Execution tactic, the analysis identified Abuse Elevation Control Mechanism (T1626) with moderate to high confidence (80%), supported by evidence indicating requests excessive permissions, hides its icon, and operates covertly and Download New Code at Runtime (T1407) with moderate to high confidence (70%), supported by evidence indicating embedded Dropper variant extracts and renames secondary payload (e.g., Ai_App.zip to App.apk). Under the Persistence tactic, the analysis identified Hijack Execution Flow: Application Shimming (T1629) with moderate confidence (60%), supported by evidence indicating maintain persistence via fake foreground notifications. Under the Privilege Escalation tactic, the analysis identified Abuse Elevation Control Mechanism (T1626) with moderate to high confidence (80%), supported by evidence indicating requests excessive permissions to capture device details, SMS, call logs, etc.. Under the Defense Evasion tactic, the analysis identified Debugger Evasion (T1622) with moderate to high confidence (70%), supported by evidence indicating hides its icon and operates covertly offering no legitimate functionality, Hide Artifacts: Hidden Window (T1564.003) with moderate to high confidence (80%), supported by evidence indicating hides its icon and maintains persistence via fake foreground notifications, and Application Layer Protocol: Web Protocols (T1071.001) with high confidence (90%), supported by evidence indicating uses Firebase, Google Apps Script, Telegram, and Google Drive for C2 and exfiltration. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Bash History (T1552.003) with moderate confidence (60%), supported by evidence indicating captures Google account emails from infected devices and Credentials from Password Stores: Credentials from Web Browsers (T1555.003) with moderate confidence (50%), supported by evidence indicating potential credential theft via SMS interception (OTPs). Under the Discovery tactic, the analysis identified File and Directory Discovery (T1420) with high confidence (90%), supported by evidence indicating captures photos and files (listed for potential upload) and Software Discovery (T1418) with moderate to high confidence (80%), supported by evidence indicating captures device details (model, battery, location, Google account emails). Under the Collection tactic, the analysis identified Input Capture: Keylogging (T1412) with moderate confidence (50%), supported by evidence indicating potential SMS interception for OTPs and credentials, Screen Capture (T1113) with moderate confidence (60%), supported by evidence indicating captures photos and files from infected devices, Audio Capture (T1123) with high confidence (90%), supported by evidence indicating captures microphone recordings (stored in cloud storage), and Data from Local System (T1005) with high confidence (90%), supported by evidence indicating captures SMS, call logs, contacts, device details, and files. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with high confidence (90%), supported by evidence indicating uses Firebase, Google Apps Script, Telegram, and Google Drive for C2 operations and Web Service: Bidirectional Communication (T1102.002) with moderate to high confidence (80%), supported by evidence indicating 317 Firebase C2 servers identified for remote control of infected devices. Under the Exfiltration tactic, the analysis identified Exfiltration Over Web Service: Exfiltration to Cloud Storage (T1567.002) with high confidence (90%), supported by evidence indicating exfiltrates data via Firebase, Google Drive, and Telegram to hacker-controlled endpoints and Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating 45,000 victim IP addresses across 143 countries; data sent to Firebase/Telegram. Under the Impact tactic, the analysis identified Defacement: Internal Defacement (T1491.001) with moderate to high confidence (70%), supported by evidence indicating attackers can change wallpaper, display messages, or speak text via text-to-speech and Data Destruction (T1485) with moderate confidence (60%), supported by evidence indicating attackers can manage files (upload, delete, wipe external storage). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Google Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/google/incident/MEDZYPTELMETTIKGOOYOU1770029110
- Google CyberSecurity Rating page: https://www.rankiteo.com/company/google
- Google Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/medzyptelmettikgooyou1770029110-youtube-discord-google-mediafire-telegram-facebook-tiktok-cyber-attack-february-2026/
- Google CyberSecurity Score History: https://www.rankiteo.com/company/google/history
- Google CyberSecurity Incident Source: https://cyberpress.org/arsink-rat-targets-android/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf