Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » Telegram Messenger » TEL1773059780

Incident Score: Analysis & Impact (TEL1773059780)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-33
Company Score Before Incident838 / 1000
Company Score After Incident805 / 1000
INCIDENT NUMBERTEL1773059780
Type of Cyber IncidentBreach
ATTACK VECTORData Scraping, MTProxy Exploitation, SIM Swapping, Session Hijacking, Social Engineering
DATA EXPOSED200 million user records (email...
INCIDENT DATE23/01/2025
STATUSOngoing (partial fixes implemented; root causes not fully addressed)

Key Highlights From The Incident Analysis

  • Timeline of Telegram Messenger's Breach 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 TEL1773059780.

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: 2897 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 838 and after the incident was 805 with a difference of -33 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.

Telegram recently reported "Telegram’s Privacy Reputation Under Scrutiny After Major Leaks and Vulnerabilities", a noteworthy cybersecurity incident.

Telegram, long marketed as a privacy-focused alternative to mainstream messaging apps, has faced growing scrutiny after a series of high-profile data exposures and security flaws revealed significant risks to users.

The disruption is felt across the environment, affecting Telegram Mobile Apps (Android & iOS) and Telegram API, and exposing 200 million user records (email addresses, phone numbers, usernames), with nearly 200 million records at risk.

In response, moved swiftly to contain the threat with measures like Warning prompt added for MTProxy vulnerability (partial fix), and began remediation that includes Acknowledged vulnerabilities; no architectural changes disclosed, and stakeholders are being briefed through Public statements downplaying leaks; emphasis on user responsibility for security.

The case underscores how Ongoing (partial fixes implemented; root causes not fully addressed), teams are taking away lessons such as Telegram’s privacy branding does not fully align with its security realities; users must adopt proactive measures (e.g., 2FA, link scrutiny) to mitigate risks. The incidents highlight gaps in protecting non-public data and architectural vulnerabilities in privacy-focused platforms, and recommending next steps like Enable two-factor authentication (2FA) for all accounts, Scrutinize links before clicking, especially those involving MTProxy or usernames and Businesses should assess the necessity of Telegram API access and consider blocking it if not critical, with advisories going out to stakeholders covering Cybersecurity firms (e.g., NVISO) recommend blocking Telegram API for businesses without critical need due to growing risks.

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 Compromise Accounts (T1586) with moderate to high confidence (80%), with evidence including account compromises due to Telegram account takeovers, and sIM swapping, session hijacking, or social engineering and Exploit Public-Facing Application (T1190) with moderate to high confidence (70%), supported by evidence indicating one-click IP leak via MTProxy exploitation in Telegram mobile apps. Under the Credential Access tactic, the analysis identified Modify Authentication Process (T1556) with moderate to high confidence (80%), supported by evidence indicating sIM swapping, session hijacking, or social engineering for account takeovers and Credential Stuffing (T1110.004) with moderate to high confidence (70%), supported by evidence indicating risks of...credential-stuffing attacks due to leaked data. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating 44GB dataset containing over 200 million Telegram user records surfaced and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating contact-importing features exposing non-public data. Under the Discovery tactic, the analysis identified System Network Configuration Discovery (T1016) with moderate to high confidence (80%), supported by evidence indicating attackers to geolocate victims, identify ISPs via IP leak. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data circulated on data leak forums and underground channels and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating cybercrime groups operate Telegram channels to share stolen credentials. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of data destruction, but included due to high-impact breach and Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating potential phishing, SIM-swapping, and credential-stuffing attacks. Under the Defense Evasion tactic, the analysis identified Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (60%), supported by evidence indicating telegram dismissed the leak as contact-importing features. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Compromise Accounts (80%)
Exploit Public-Facing Application (70%)
Credential Access
Modify Authentication Process (80%)
Credential Stuffing (70%)
Collection
Data from Information Repositories (90%)
Data from Local System (70%)
Discovery
System Network Configuration Discovery (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (60%)
Impact
Data Destruction (30%)
Stored Data Manipulation (50%)
Defense Evasion
Hide Artifacts: Hidden Files and Directories (60%)

Sources & References