Incident Score: Analysis & Impact (TEL1773332910)
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 TELUS Digital'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 TELUS Digital 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 TELUS Digital breach identified under incident ID TEL1773332910.
The analysis begins with a detailed overview of TELUS Digital's information like the linkedin page: https://www.linkedin.com/company/telus-digital, the number of followers: 999992, the industry type: IT Services and IT Consulting and the number of employees: 39811 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 620 and after the incident was 556 with a difference of -64 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 TELUS Digital and their customers.
On 10 June 2024, Telus Digital disclosed Data Breach issues under the banner "Telus Digital Major Data Breach After ShinyHunters Claims 1 Petabyte Theft".
Canadian BPO provider Telus Digital confirmed a security incident after the threat group ShinyHunters claimed to have stolen nearly 1 petabyte of data.
The disruption is felt across the environment, affecting Google Cloud Platform (BigQuery), Salesforce, customer support systems, AI tools, fraud detection systems, content moderation systems, and exposing 1 petabyte.
In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Secured affected systems, limited unauthorized access, and stakeholders are being briefed through Public disclosure, customer notifications.
The case underscores how Ongoing, with advisories going out to stakeholders covering Notifications in progress.
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 Valid Accounts: Cloud Accounts (T1078.004) with high confidence (90%), supported by evidence indicating obtaining Google Cloud Platform credentials from data stolen in the 2023 Salesloft Drift breach and Phishing: Spearphishing Link (T1566.002) with moderate to high confidence (70%), supported by evidence indicating conducted voice phishing (vishing) attacks, tricking employees into revealing credentials. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (80%), supported by evidence indicating device code vishing to obtain Microsoft Entra authentication tokens, Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating used tools like TruffleHog to extract further credentials from BigQuery instance, and Credentials from Password Stores (T1555) with moderate to high confidence (70%), supported by evidence indicating credentials later exploited to infiltrate additional platforms. Under the Persistence tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (80%), supported by evidence indicating google Cloud Platform credentials obtained and used for prolonged access. Under the Privilege Escalation tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (80%), supported by evidence indicating credentials enabled deeper access to systems like BigQuery. Under the Defense Evasion tactic, the analysis identified Use Alternate Authentication Material: Application Access Token (T1550.004) with moderate to high confidence (80%), supported by evidence indicating microsoft Entra authentication tokens obtained via device code vishing and Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (70%), supported by evidence indicating stolen credentials used to blend in with legitimate access. Under the Discovery tactic, the analysis identified Account Discovery: Cloud Account (T1087.004) with moderate to high confidence (70%), supported by evidence indicating accessed BigQuery instance and Salesforce data and Data from Information Repositories: Code Repositories (T1213.003) with moderate to high confidence (70%), supported by evidence indicating source code was part of the stolen data. Under the Collection tactic, the analysis identified Data from Information Repositories: Sharepoint (T1213.002) with moderate to high confidence (70%), supported by evidence indicating salesforce data and BPO-related records compromised, Automated Collection (T1119) with moderate to high confidence (80%), supported by evidence indicating 1 petabyte of data stolen, including voice recordings and telecom metadata, and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating bPO-related records, AI tools, and fraud detection systems accessed. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with high confidence (90%), supported by evidence indicating 1 petabyte of data exfiltrated, likely to attacker-controlled cloud storage and Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating prolonged breach suggests ongoing exfiltration over command and control. Under the Impact tactic, the analysis identified Defacement: External Defacement (T1491.002) with moderate confidence (60%), supported by evidence indicating shinyHunters attempted extortion with public data leak threats and Data Manipulation: Transmitted Data Manipulation (T1565.002) with moderate confidence (50%), supported by evidence indicating potential manipulation of BPO-related records or AI tools. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- TELUS Digital Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/telus-digital/incident/TEL1773332910
- TELUS Digital CyberSecurity Rating page: https://www.rankiteo.com/company/telus-digital
- TELUS Digital Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/tel1773332910-telus-digital-breach-february-2026/
- TELUS Digital CyberSecurity Score History: https://www.rankiteo.com/company/telus-digital/history
- TELUS Digital CyberSecurity Incident Source: https://www.bleepingcomputer.com/news/security/telus-digital-confirms-breach-after-hacker-claims-1-petabyte-data-theft/
- 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