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Analyze » Rogers Communications » SIMLOBROGARDTEL1785321665

Incident Score: Analysis & Impact (SIMLOBROGARDTEL1785321665)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-92
Company Score Before Incident794 / 1000
Company Score After Incident702 / 1000
Company LinkView Rogers Communications Profile
INCIDENT NUMBERSIMLOBROGARDTEL1785321665
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSED28,500 records (average)
INCIDENT DATE28/02/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Rogers Communications'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 Rogers Communications 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 Rogers Communications breach identified under incident ID SIMLOBROGARDTEL1785321665.

The analysis begins with a detailed overview of Rogers Communications's information like the linkedin page: https://www.linkedin.com/company/rogers-communications, the number of followers: 314265, the industry type: Telecommunications and the number of employees: 28354 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 794 and after the incident was 702 with a difference of -92 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 Rogers Communications and their customers.

Rogers recently reported "Canadian Data Breaches Hit Record Costs as AI Emerges as a Key Defense", a noteworthy cybersecurity incident.

Canadian companies faced rising financial and operational fallout from data breaches in 2026, with average costs climbing to $7.11 million per incident.

The disruption is felt across the environment, and exposing 28,500 records (average), with nearly 28,500 (average) records at risk, plus an estimated financial loss of $7.11 million per incident (average).

Formal response steps have not been shared publicly yet.

The case underscores how teams are taking away lessons such as AI is a critical tool in mitigating breaches, reducing costs and response times. However, AI-generated attacks are also on the rise, and recommending next steps like Adopt AI extensively in security operations to lower breach costs and improve response times.

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 Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating complex networks, sensitive data, and low tolerance for downtime and Valid Accounts (T1078) with moderate confidence (50%), supported by evidence indicating no specific attack vector mentioned, but breaches imply access. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with lower confidence (40%), supported by evidence indicating no direct evidence, but common in breaches of this scale and Credentials from Password Stores (T1555) with moderate confidence (50%), supported by evidence indicating breaches exposed 28,500 records (average). Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating 28,500 records exposed (average) and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating sensitive data targeted in energy, tech, and industrial sectors. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating 28,500 records exposed (average) and Exfiltration Over Web Service (T1567) with moderate confidence (60%), supported by evidence indicating no direct evidence, but common in large-scale breaches. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating business disruption and recovery efforts mentioned and Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating no direct evidence, but ransomware is a plausible vector. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (60%)
Valid Accounts (50%)
Credential Access
Brute Force (40%)
Credentials from Password Stores (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Exfiltration Over Web Service (60%)
Impact
Data Destruction (40%)
Data Encrypted for Impact (30%)

Sources & References