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Analyze » Nintendo » HCSNIN1781857523

Incident Score: Analysis & Impact (HCSNIN1781857523)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-40
Company Score Before Incident814 / 1000
Company Score After Incident774 / 1000
INCIDENT NUMBERHCSNIN1781857523
Type of Cyber IncidentBreach
ATTACK VECTORThird-party compromise (TinyPulse)
DATA EXPOSEDEmployee survey data, full names,...
INCIDENT DATE31/12/2015
STATUSOngoing

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 HCSNIN1781857523.

The analysis begins with a detailed overview of Nintendo's information like the linkedin page: https://www.linkedin.com/company/nintendo, the number of followers: 860804, the industry type: Computer Games and the number of employees: 7543 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 814 and after the incident was 774 with a difference of -40 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 Employee Survey Data Exposed in TinyPulse Cyberattack", a noteworthy cybersecurity incident.

Nintendo of America confirmed that employee survey data was compromised in a cyberattack targeting TinyPulse, a third-party platform used for internal feedback.

The disruption is felt across the environment, affecting TinyPulse (third-party platform), and exposing Employee survey data, full names, email addresses, bank statements, W-9 forms, employee progress reports, direct messages, and employee conversations.

In response, and stakeholders are being briefed through Public acknowledgment of the breach, emphasizing limited scope.

The case underscores how Ongoing, with advisories going out to stakeholders covering Nintendo stated no customer or financial information was accessed.

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 (T1195) with high confidence (90%), with evidence including third-party platform used for internal feedback, and tinyPulse cyberattack targeting TinyPulse and Compromise Software Supply Chain (T1195.002) with moderate to high confidence (80%), supported by evidence indicating tinyPulse, a third-party platform used for internal feedback. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating oAuth or session tokens likely abused via TinyPulse compromise. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating employee survey data, bank statements, W-9 forms, progress reports and Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating direct messages and employee conversations exfiltrated. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating threat actor claimed to have exfiltrated nearly 1GB of data and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating data samples released by Shadowbyt3$ post-ransom refusal. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating ransom demand suggests possible encryption, but not confirmed and Financial Theft (T1657) with moderate to high confidence (80%), supported by evidence indicating bank statements and W-9 forms exposed, high identity theft risk. Under the Lateral Movement tactic, the analysis identified Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating access to TinyPulse likely via compromised credentials or tokens. Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate to high confidence (70%), supported by evidence indicating exfiltration of 1GB data implies C2 communication. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Supply Chain Compromise (90%)
Compromise Software Supply Chain (80%)
Credential Access
Steal Application Access Token (70%)
Collection
Data from Information Repositories (90%)
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Web Service (70%)
Impact
Data Encrypted for Impact (30%)
Financial Theft (80%)
Lateral Movement
Valid Accounts (60%)
Command and Control
Application Layer Protocol (70%)

Sources & References