Canva Breach Incident Score: Analysis & Impact (TENMYSTWITENCANADODEEFRIUNIBRA1769520245)

In this Rankiteo incident briefing, we review the Canva breach identified under incident ID TENMYSTWITENCANADODEEFRIUNIBRA1769520245.

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 786 and after the incident was 668 with a difference of -118 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.

Tencent recently reported "Mother of All Breaches (MOAB)", a noteworthy cybersecurity incident.

Security researchers uncovered a 12-terabyte database containing 26 billion records from thousands of prior data leaks, dubbed the 'Mother of All Breaches' (MOAB).

The disruption is felt across the environment, and exposing 26 billion records, with nearly 26 billion records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing (owner of the dataset unknown), teams are taking away lessons such as Password-only authentication is obsolete against large-scale credential dumps. Multi-factor authentication (MFA), especially phishing-resistant methods like FIDO2 security keys, is critical. Continuous monitoring of credentials against breach databases is essential, and recommending next steps like Implement multi-factor authentication (MFA), preferably phishing-resistant methods like FIDO2 security keys, Monitor credentials against breach databases continuously and Educate users on password hygiene and the risks of password reuse.

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.

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 (T1078) with high confidence (90%), with evidence including 26 billion records from prior data leaks, and dataset may include fresh infostealer malware data and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating aggregating credentials from major platforms. Under the Credential Access tactic, the analysis identified Gather Victim Identity Information: Credentials (T1589.001) with high confidence (95%), with evidence including 12-terabyte database containing 26 billion records, and includes credentials, browser cookies, autofill details, Credentials from Password Stores (T1555) with moderate to high confidence (80%), supported by evidence indicating potential fresh data from infostealer malware, and Brute Force: Credential Stuffing (T1110.004) with high confidence (90%), with evidence including single, searchable repository for credential stuffing, and widespread password reuse. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating aggregating credentials from thousands of prior data leaks and Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating includes browser cookies and autofill details from infostealer malware. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating dataset may include fresh infostealer malware data and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating 12-terabyte database found on an open, publicly accessible server. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating once exposed, data never truly disappears and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating highly effective tool for cybercriminals, from fraudsters to IABs. Under the Defense Evasion tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (80%), supported by evidence indicating employees reusing passwords across personal and work accounts and Subvert Trust Controls: Install Root Certificate (T1553.004) with moderate confidence (50%), supported by evidence indicating potential fresh infostealer malware data. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.