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Analyze » Betterment » CANADYATLHUBEPIMODGAMZOOWEWHALBETSONTEL1769527593

Incident Score: Analysis & Impact (CANADYATLHUBEPIMODGAMZOOWEWHALBETSONTEL1769527593)

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Rankiteo Score Impact Analysis

Rankiteo Incident Impact-30
Company Score Before Incident635 / 1000
Company Score After Incident605 / 1000
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 Betterment'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 Betterment 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 Betterment breach identified under incident ID CANADYATLHUBEPIMODGAMZOOWEWHALBETSONTEL1769527593.

The analysis begins with a detailed overview of Betterment's information like the linkedin page: https://www.linkedin.com/company/betterment, the number of followers: 48149, the industry type: Financial Services and the number of employees: 618 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 635 and after the incident was 605 with a difference of -30 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 Betterment 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%), supported by evidence indicating attackers employed voice phishing (vishing) tactics to compromise SSO accounts 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, Multi-Factor Authentication Request Generation (T1621) with high confidence (90%), supported by evidence indicating manipulated victims into approving push notifications or submitting OTPs, and Modify Authentication Process: Multi-Factor Authentication (T1556.006) with moderate to high confidence (80%), supported by evidence indicating mFA bypass via push notifications or OTP submission. 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 via verbal instructions and Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (80%), supported by evidence indicating compromised single sign-on (SSO) accounts, particularly Okta. Under the Collection tactic, the analysis identified Data from Information Repositories: Code Repositories (T1213.003) with moderate confidence (60%), supported by evidence indicating millions of records allegedly stolen from companies and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating pII and credentials compromised via SSO accounts. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data allegedly sold on dark web; millions of records stolen. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating breach success unclear; no confirmation of data destruction and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating real-time session orchestration via verbal instructions. 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%)
Multi-Factor Authentication Request Generation (90%)
Modify Authentication Process: Multi-Factor Authentication (80%)
Defense Evasion
Use Alternate Authentication Material: Web Session Cookie (70%)
Valid Accounts: Cloud Accounts (80%)
Collection
Data from Information Repositories: Code Repositories (60%)
Data from Local System (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Impact
Data Destruction (30%)
Data Manipulation: Transmitted Data Manipulation (40%)