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Analyze » Telegram Messenger » MEDZYPTELMETTIKGOOYOU1770029110

Incident Score: Analysis & Impact (MEDZYPTELMETTIKGOOYOU1770029110)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-8
Company Score Before Incident774 / 1000
Company Score After Incident766 / 1000
INCIDENT NUMBERMEDZYPTELMETTIKGOOYOU1770029110
Type of Cyber IncidentCyber Attack
ATTACK VECTORTelegram channels, Discord posts, MediaFire links, Fake/modified APKs
DATA EXPOSEDDevice details, SMS messages (including...
INCIDENT DATE01/02/2026
STATUSOngoing (malware variants rapidly evolving)

Key Highlights From The Incident Analysis

  • Timeline of Telegram Messenger'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 Telegram Messenger 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 Telegram Messenger breach identified under incident ID MEDZYPTELMETTIKGOOYOU1770029110.

The analysis begins with a detailed overview of Telegram Messenger's information like the linkedin page: https://www.linkedin.com/company/telegram-messenger, the number of followers: 0, the industry type: Technology, Information and Internet and the number of employees: 3391 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 774 and after the incident was 766 with a difference of -8 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 Telegram Messenger 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 (T1566.002) 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 (e.g., Google, WhatsApp). 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 Obfuscated Files or Information (T1406) with moderate to high confidence (70%), supported by evidence indicating secondary payload hidden within the app, extracted and renamed (e.g., Ai_App.zip to App.apk). Under the Persistence tactic, the analysis identified Event Triggered Execution: Application Shutdown (T1624.001) with moderate to high confidence (80%), supported by evidence indicating maintain persistence via fake foreground notifications and Boot or Logon Autostart Execution: Registry Run Keys / Startup Folder (T1547.001) with moderate confidence (60%), supported by evidence indicating operates covertly offering no legitimate functionality while harvesting data. 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, Obfuscated Files or Information (T1406) with moderate to high confidence (80%), supported by evidence indicating secondary payload hidden within the app, extracted and renamed without internet downloads, and Hide Artifacts: Hidden Window (T1564.003) with moderate to high confidence (70%), supported by evidence indicating hides the app icon and maintains persistence via fake foreground notifications. 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, 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), and Protected User Data (T1636) with high confidence (90%), supported by evidence indicating sMS messages (including one-time passcodes) captured and exfiltrated. 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 (T1417) with moderate to high confidence (80%), supported by evidence indicating captures SMS messages, call logs, and contacts, and Device Driver Discovery (T1613) with moderate confidence (60%), supported by evidence indicating microphone recordings and photos captured for potential upload. Under the Collection tactic, the analysis identified Protected User Data (T1636) with high confidence (90%), supported by evidence indicating sMS messages, call logs, contacts, microphone recordings, photos, and files captured, Screen Capture (T1113) with moderate to high confidence (70%), supported by evidence indicating photos and files listed for potential upload, and Audio Capture (T1123) with high confidence (90%), supported by evidence indicating microphone recordings stored in cloud storage. 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 data exfiltrated via Google Apps Script to Google Drive, and Web Service: Dead Drop Resolver (T1102.001) with moderate to high confidence (70%), supported by evidence indicating telegram bot used for transmitting SMS, call logs, and device details. 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 larger files uploaded via Google Apps Script to Google Drive, Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltrated via Firebase Realtime Database and Telegram bot, and Transfer Data to Cloud Account (T1537) with moderate to high confidence (80%), supported by evidence indicating microphone recordings stored in cloud storage. 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 manage files (upload, delete, wipe external storage), and Endpoint Denial of Service: Application or System Exploitation (T1499.004) with moderate confidence (50%), supported by evidence indicating remote control capabilities include toggling flashlight, vibrating phone, or playing sounds. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Phishing: Spearphishing Link (90%)
Deliver Malicious App via Authorized App Store (70%)
Execution
Abuse Elevation Control Mechanism (80%)
Obfuscated Files or Information (70%)
Persistence
Event Triggered Execution: Application Shutdown (80%)
Boot or Logon Autostart Execution: Registry Run Keys / Startup Folder (60%)
Privilege Escalation
Abuse Elevation Control Mechanism (80%)
Defense Evasion
Debugger Evasion (70%)
Obfuscated Files or Information (80%)
Hide Artifacts: Hidden Window (70%)
Credential Access
Unsecured Credentials: Bash History (60%)
Credentials from Password Stores: Credentials from Web Browsers (50%)
Protected User Data (90%)
Discovery
System Information Discovery (90%)
Input Capture (80%)
Device Driver Discovery (60%)
Collection
Protected User Data (90%)
Screen Capture (70%)
Audio Capture (90%)
Command and Control
Web Service: Bidirectional Communication (90%)
Application Layer Protocol: Web Protocols (80%)
Web Service: Dead Drop Resolver (70%)
Exfiltration
Exfiltration Over Web Service: Exfiltration to Cloud Storage (90%)
Exfiltration Over C2 Channel (90%)
Transfer Data to Cloud Account (80%)
Impact
Defacement: Internal Defacement (70%)
Data Destruction (60%)
Endpoint Denial of Service: Application or System Exploitation (50%)

Sources & References