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 Meta'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 Meta 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 Meta breach identified under incident ID MEDZYPTELMETTIKGOOYOU1770029110.
The analysis begins with a detailed overview of Meta's information like the linkedin page: https://www.linkedin.com/company/meta, the number of followers: 11662374, the industry type: Software Development and the number of employees: 146293 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 679 and after the incident was 668 with a difference of -11 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 Meta 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, 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 (e.g., Google, WhatsApp), and Sideloading (T1666) with high confidence (90%), supported by evidence indicating fake/modified APKs distributed via Telegram, Discord, MediaFire. Under the Execution tactic, the analysis identified Download New Code at Runtime (T1407) with moderate to high confidence (80%), supported by evidence indicating embedded Dropper variant extracts secondary payload (e.g., Ai_App.zip to App.apk) and Hide Artifacts: Hidden App (T1628) with high confidence (90%), supported by evidence indicating hides its icon and operates covertly offering no legitimate functionality. Under the Persistence tactic, the analysis identified Abuse Elevation Control Mechanism: Bypass User Account Control (T1626) with moderate to high confidence (70%), supported by evidence indicating requests excessive permissions during installation and Event Triggered Execution: App Init (T1629) with moderate to high confidence (80%), supported by evidence indicating maintain persistence via fake foreground notifications. Under the Privilege Escalation tactic, the analysis identified Abuse Elevation Control Mechanism: Bypass User Account Control (T1626) with moderate to high confidence (80%), supported by evidence indicating excessive permissions granted to malicious apps. Under the Defense Evasion tactic, the analysis identified Hide Artifacts: Hidden App (T1628) with high confidence (90%), supported by evidence indicating hides its icon and operates covertly, Weaken Encryption: Reduce Key Space (T1600) with moderate confidence (60%), supported by evidence indicating abuses legitimate cloud services (Firebase, Google Drive) to blend into normal traffic, and Masquerading: Match Legitimate Name or Location (T1036.005) with high confidence (90%), supported by evidence indicating disguised as modified or pro versions of popular apps (e.g., Google, WhatsApp). Under the Credential Access tactic, the analysis identified Unsecured Credentials: Bash History (T1552.003) with moderate to high confidence (70%), supported by evidence indicating captures Google account emails from infected devices and Modify Authentication Process: Domain Controller Authentication (T1556.001) with moderate confidence (60%), supported by evidence indicating sMS interception for one-time passcodes (OTPs). Under the Discovery tactic, the analysis identified System Information Discovery (T1426) with high confidence (90%), supported by evidence indicating captures device details (model, battery, location, Google account emails), Input Capture: Keylogging (T1417) with moderate to high confidence (70%), supported by evidence indicating sMS messages and call logs captured, and Container and Resource Discovery (T1613) with moderate to high confidence (80%), supported by evidence indicating lists photos and files for potential upload. Under the Collection tactic, the analysis identified Input Capture: Keylogging (T1417) with moderate to high confidence (80%), supported by evidence indicating sMS messages (including OTPs) and call logs captured, Audio Capture (T1123) with high confidence (90%), supported by evidence indicating microphone recordings stored in cloud storage, Screen Capture (T1113) with moderate to high confidence (70%), supported by evidence indicating photos and files listed for potential upload, and Protected User Data: Calendar Entries (T1636) with moderate confidence (60%), supported by evidence indicating contacts and device details captured. Under the Command and Control tactic, the analysis identified Web Service: Bidirectional Communication (T1102.002) with high confidence (90%), supported by evidence indicating 317 Firebase command-and-control (C2) servers identified, Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (80%), supported by evidence indicating uses Google Apps Script and Telegram for data exfiltration, and Dynamic Resolution: Domain Generation Algorithms (T1568.002) with moderate confidence (60%), supported by evidence indicating rapid adaptation of C2 infrastructure (Firebase, Telegram bots). 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 data exfiltrated via Firebase, Google Drive, and Telegram bots and Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating 45,000 victim IP addresses across 143 countries. 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, Data Destruction (T1485) with moderate confidence (60%), supported by evidence indicating attackers can wipe external storage or delete files, and Endpoint Denial of Service: Application or System Exploitation (T1499.004) with moderate confidence (50%), supported by evidence indicating remote control capabilities (e.g., initiate calls, toggle flashlight). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Meta Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/meta/incident/MEDZYPTELMETTIKGOOYOU1770029110
- Meta CyberSecurity Rating page: https://www.rankiteo.com/company/meta
- Meta Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/medzyptelmettikgooyou1770029110-youtube-discord-google-mediafire-telegram-facebook-tiktok-cyber-attack-february-2026/
- Meta CyberSecurity Score History: https://www.rankiteo.com/company/meta/history
- Meta 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