Incident Score: Analysis & Impact (WEBNIN1781850386)
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 Nintendo'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 Nintendo 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 Nintendo breach identified under incident ID WEBNIN1781850386.
The analysis begins with a detailed overview of Nintendo's information like the linkedin page: https://www.linkedin.com/company/nintendo-us, the number of followers: 645, the industry type: Mobile Gaming Apps and the number of employees: 4 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 742 and after the incident was 678 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 Nintendo and their customers.
Nintendo of America recently reported "Nintendo of America Data Breach via Third-Party Survey Provider TINYpulse", a noteworthy cybersecurity incident.
Nintendo of America has acknowledged a data security incident involving TINYpulse, a third-party anonymous employee survey service owned by WebMD Health Services.
The disruption is felt across the environment, affecting TINYpulse (third-party survey provider), and exposing Employee personal details (names, email addresses, bank statements, W-9 forms, progress reports, survey analytics, employee conversations).
In response, and stakeholders are being briefed through Public acknowledgment of the breach.
The case underscores how Ongoing, teams are taking away lessons such as Highlights risks associated with third-party service providers in corporate data security.
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 Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with high confidence (90%), with evidence including breach via third-party survey provider TINYpulse, and third-party service provider compromise. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), with evidence including third-party anonymous employee survey service, and oAuth or session token abuse likely and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating bank statements, W-9 forms, employee conversations exposed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating nearly 1GB of data...including employee personal details and Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating survey analytics, progress reports, employee conversations stolen. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating shadowByt3$ allegedly stole nearly 1GB of data and Exfiltration Over Web Service (T1567) with moderate confidence (60%), supported by evidence indicating extortion-as-a-service group posted leaked data. Under the Impact tactic, the analysis identified Data Encrypted for Impact (Extortion) (T1471) with moderate to high confidence (70%), with evidence including $2 million ransom demanded, and data posted after non-payment and Defacement: External Defacement (T1491.002) with moderate confidence (60%), supported by evidence indicating shadowByt3$ posted alleged leaked data publicly. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating third-party service provider access likely abused and Use Alternate Authentication Material: Application Access Token (T1550.001) with moderate confidence (60%), supported by evidence indicating anonymous employee survey service compromise. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Nintendo Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/nintendo-us/incident/WEBNIN1781850386
- Nintendo CyberSecurity Rating page: https://www.rankiteo.com/company/nintendo-us
- Nintendo Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/webnin1781850386-tinypulse-nintendo-of-america-breach-october-2025/
- Nintendo CyberSecurity Score History: https://www.rankiteo.com/company/nintendo-us/history
- Nintendo CyberSecurity Incident Source: https://www.cyberdaily.au/security/13777-nintendo-confirms-third-party-data-incident-staff-data-stolen
- 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