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Analyze » HCSS » 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-61
Company Score Before Incident756 / 1000
Company Score After Incident695 / 1000
Company LinkView HCSS Profile
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 HCSS'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 HCSS 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 HCSS breach identified under incident ID HCSNIN1781857523.

The analysis begins with a detailed overview of HCSS's information like the linkedin page: https://www.linkedin.com/company/hcss, the number of followers: 32343, the industry type: Software Development and the number of employees: 687 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 756 and after the incident was 695 with a difference of -61 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 HCSS 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 employee survey data was compromised via third-party platform. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating 1GB of data, including full names, email addresses, bank statements and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating employee progress reports, direct messages, employee conversations. 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 shadowbyt3$ released samples of direct messages and conversations. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating threat actor demanded $2 million ransom and Defacement (T1491) with moderate confidence (50%), supported by evidence indicating shadowbyt3$ released samples of data after ransom refusal. 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 Local System (80%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Web Service (70%)
Impact
Data Encrypted for Impact (30%)
Defacement (50%)

Sources & References