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Analyze » Nintendo » NINWEB1781692782

Incident Score: Analysis & Impact (NINWEB1781692782)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-4
Company Score Before Incident799 / 1000
Company Score After Incident795 / 1000
INCIDENT NUMBERNINWEB1781692782
Type of Cyber IncidentVulnerability
ATTACK VECTORThird-Party Vulnerability
DATA EXPOSEDEmployee information (names, email addresses,...
INCIDENT DATE30/04/2020
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Nintendo's Vulnerability 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 NINWEB1781692782.

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 799 and after the incident was 795 with a difference of -4 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 recently reported "Nintendo Data Breach via Third-Party Service", a noteworthy cybersecurity incident.

Nintendo disclosed a data breach involving employee information after the extortion group *ShadowByt3$* claimed to have compromised its systems.

The disruption is felt across the environment, affecting TinyPulse employee survey platform, and exposing Employee information (names, email addresses, bank records, survey responses, performance evaluations, details on top-performing staff).

In response, and stakeholders are being briefed through Public disclosure of the breach.

The case underscores how Ongoing, with advisories going out to stakeholders covering Confirmed no customer data was exposed.

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%), supported by evidence indicating vulnerability in *TinyPulse*, a third-party employee survey platform and Compromise Software Supply Chain (T1195.002) with high confidence (90%), supported by evidence indicating breach occurred due to a vulnerability in *TinyPulse*. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating third-party employee survey platform led to the exposure. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating survey responses, performance evaluations, details on top-performing staff and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating employee information (names, email addresses, bank records). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating hackers demanded a $2 million ransom to prevent the release of sensitive data and Exfiltration Over Web Service (T1567) with moderate confidence (60%), supported by evidence indicating extortion group *ShadowByt3$* claimed to have compromised its systems. Under the Impact tactic, the analysis identified Data Encrypted for Impact (Extortion) (T1471) with moderate to high confidence (70%), supported by evidence indicating hackers demanded a $2 million ransom to prevent the release of data and Defacement (Extortion Threat) (T1491) with moderate confidence (60%), supported by evidence indicating extortion group *ShadowByt3$* claimed to have compromised its systems. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating third-party employee survey platform led to the exposure and Application Access Token (T1550.001) with moderate confidence (60%), supported by evidence indicating vulnerability in *TinyPulse* employee survey platform. 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 (90%)
Credential Access
Steal Application Access Token (70%)
Collection
Data from Information Repositories (80%)
Data from Local System (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Web Service (60%)
Impact
Data Encrypted for Impact (Extortion) (70%)
Defacement (Extortion Threat) (60%)
Defense Evasion
Valid Accounts (70%)
Application Access Token (60%)