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Analyze » Canva » CANADYATLHUBEPIMODGAMZOOWEWHALBETSONTEL1769527593

Incident Score: Analysis & Impact (CANADYATLHUBEPIMODGAMZOOWEWHALBETSONTEL1769527593)

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Rankiteo Score Impact Analysis

Rankiteo Incident Impact-19
Company Score Before Incident575 / 1000
Company Score After Incident556 / 1000
Company LinkView Canva Profile
INCIDENT NUMBERCANADYATLHUBEPIMODGAMZOOWEWHALBETSONTEL1769527593
Type of Cyber IncidentCyber Attack
ATTACK VECTORVoice Phishing (Vishing), Phishing Kits, MFA Bypass (Push Notifications, OTPs)
DATA EXPOSEDMillions of records allegedly stolen
INCIDENT DATE27/12/2025
STATUSOngoing (infrastructure identified, breach success unclear)

Key Highlights From The Incident Analysis

  • Timeline of Canva'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 Canva 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 Canva breach identified under incident ID CANADYATLHUBEPIMODGAMZOOWEWHALBETSONTEL1769527593.

The analysis begins with a detailed overview of Canva's information like the linkedin page: https://www.linkedin.com/company/canva, the number of followers: 2424997, the industry type: Software Development and the number of employees: 12281 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 575 and after the incident was 556 with a difference of -19 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 Canva and their customers.

Atlassian recently reported "ShinyHunters-Linked Cybercrime Campaign Targets Over 100 Major Organizations", a noteworthy cybersecurity incident.

A recent cybercrime campaign attributed to the ShinyHunters group has targeted at least 100 organizations across multiple sectors, including software, finance, healthcare, and energy.

The disruption is felt across the environment, affecting SSO accounts (Okta and other identity platforms), and exposing Millions of records allegedly stolen, with nearly Millions (alleged) records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing (infrastructure identified, breach success 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 Phishing: Vishing (T1566.004) with high confidence (90%), with evidence including attackers employed voice phishing (vishing) tactics, and using specialized phishing kits and Acquire Infrastructure: Domains (T1583.001) with moderate to high confidence (80%), supported by evidence indicating threat actors registered fake domains impersonating high-profile companies. Under the Credential Access tactic, the analysis identified Brute Force: Password Guessing (T1110.001) with moderate to high confidence (70%), supported by evidence indicating intercepted credentials and manipulated victims into bypassing MFA, Modify Authentication Process: Multi-Factor Authentication (T1556.006) with high confidence (90%), supported by evidence indicating manipulated victims into bypassing MFA by approving push notifications or submitting OTPs, Multi-Factor Authentication Request Generation (T1621) with high confidence (90%), supported by evidence indicating guided victims through authentication via verbal instructions to approve MFA, and Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (80%), supported by evidence indicating compromised single sign-on (SSO) accounts, particularly those using Okta. Under the Defense Evasion tactic, the analysis identified Use Alternate Authentication Material: Web Session Cookie (T1550.004) with moderate to high confidence (70%), supported by evidence indicating real-time session orchestration where threat actors guided victims and Debugger Evasion (T1622) with moderate confidence (50%), supported by evidence indicating specialized phishing kits used to intercept credentials. Under the Collection tactic, the analysis identified Data from Cloud Storage (T1213.003) with moderate to high confidence (80%), supported by evidence indicating sSO accounts (Okta and other identity platforms) compromised and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating millions of records allegedly stolen from companies. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data breach impacting millions of records allegedly stolen and Exfiltration Over Web Service: Exfiltration to Cloud Storage (T1567.002) with moderate confidence (60%), supported by evidence indicating data sold on dark web (alleged). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Phishing: Vishing (90%)
Acquire Infrastructure: Domains (80%)
Credential Access
Brute Force: Password Guessing (70%)
Modify Authentication Process: Multi-Factor Authentication (90%)
Multi-Factor Authentication Request Generation (90%)
Valid Accounts: Cloud Accounts (80%)
Defense Evasion
Use Alternate Authentication Material: Web Session Cookie (70%)
Debugger Evasion (50%)
Collection
Data from Cloud Storage (80%)
Data from Local System (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Web Service: Exfiltration to Cloud Storage (60%)