Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » Telegram Messenger » TEL1770739726

Incident Score: Analysis & Impact (TEL1770739726)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-32
Company Score Before Incident804 / 1000
Company Score After Incident772 / 1000
INCIDENT NUMBERTEL1770739726
Type of Cyber IncidentBreach
ATTACK VECTORUnknown (potentially aggregated scrapes or unauthorized access)
DATA EXPOSEDPhone numbers, email addresses, user...
INCIDENT DATE23/01/2026
STATUSOngoing (origin of data unclear)

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 TEL1770739726.

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 804 and after the incident was 772 with a difference of -32 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.

On 24 January 2024, Telegram disclosed Data Leak issues under the banner "Massive Telegram Data Leak Exposes 200M+ User Records on Dark Web Forum".

On January 24, attackers posted a dataset containing over 200 million Telegram user records on a popular data leak forum, exposing sensitive information including phone numbers, email addresses, and user IDs.

The disruption is felt across the environment, and exposing Phone numbers, email addresses, user IDs, with nearly 200M+ records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing (origin of data unclear).

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 confidence (60%), supported by evidence indicating inclusion of non-public data like emails suggests unauthorized access and Compromise Infrastructure (T1584) with moderate confidence (50%), supported by evidence indicating data spans three databases...totaling 44GB when uncompressed. Under the Credential Access tactic, the analysis identified Gather Victim Identity Information: Credentials (T1589.001) with moderate to high confidence (80%), supported by evidence indicating exposing sensitive information including phone numbers, email addresses, and user IDs and Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (60%), supported by evidence indicating leak may also incorporate older breaches or unauthorized access. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating dataset containing over 200 million Telegram user records...spans three databases and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating 66 million phone numbers, 10 million user records, and 60 million entries. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating attackers posted a dataset...on a popular data leak forum and Exfiltration Over Web Service: Exfiltration to Cloud Storage (T1567.002) with moderate confidence (50%), supported by evidence indicating posted on a data leak forum...with daily user engagement. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating duplicates in the dataset could also reduce its actual impact and Disk Wipe: Disk Content Wipe (T1561.002) with lower confidence (20%), supported by evidence indicating origin of the data remains unclear. 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 (60%)
Compromise Infrastructure (50%)
Credential Access
Gather Victim Identity Information: Credentials (80%)
Unsecured Credentials: Credentials In Files (60%)
Collection
Data from Information Repositories (90%)
Data from Local System (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Exfiltration Over Web Service: Exfiltration to Cloud Storage (50%)
Impact
Data Destruction (30%)
Disk Wipe: Disk Content Wipe (20%)

Sources & References