Incident Score: Analysis & Impact (WORNOTGOOZOONIKTIN1777868873)
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 Nikkei'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 Nikkei 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 Nikkei breach identified under incident ID WORNOTGOOZOONIKTIN1777868873.
The analysis begins with a detailed overview of Nikkei's information like the linkedin page: https://www.linkedin.com/company/nikkei, the number of followers: 32, the industry type: Newspaper Publishing and the number of employees: 10695 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 582 and after the incident was 507 with a difference of -75 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 Nikkei and their customers.
On 20 March 2026, Gmail disclosed Data Collection, Privacy Violation and Data Breach issues under the banner "Workplace Apps Collect Extensive User Data, Raising Privacy and Security Concerns".
A recent study by Incogni reveals that ten widely used workplace apps, including Gmail, Microsoft Teams, Zoom Workplace, Slack, and Notion, collect an average of 19 data points per app, with some sharing sensitive information with third parties.
The disruption is felt across the environment, affecting Gmail, Microsoft Teams and Zoom Workplace, and exposing Login Credentials, Email Addresses and Names, with nearly ['149 million (Gmail-related)', '17,000 (Slack)'] records at risk.
Formal response steps have not been shared publicly yet.
The case underscores how Ongoing, teams are taking away lessons such as The trade-offs between workplace productivity and data exposure highlight the need for stronger data protection measures, end-to-end encryption, and stricter third-party data sharing policies, and recommending next steps like Implement end-to-end encryption for sensitive communications, Limit third-party data sharing and tracking and Provide users with clear data deletion options.
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 Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating attackers used stolen credentials to access accounts of over 17,000 Nikkei employees and Exploit Public-Facing Application (T1190) with moderate to high confidence (70%), supported by evidence indicating workday breaches linked to its Salesforce CRM in ShinyHunters social engineering campaign. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating 96-gigabyte database exposed due to infostealer malware on user devices. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate to high confidence (80%), supported by evidence indicating 149 million login credentials exposed, 48 million tied to Gmail and OS Credential Dumping (T1003) with moderate confidence (60%), supported by evidence indicating infostealer malware on user devices attributed to credential exposure. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating apps collect 19+data points such as email, names, device IDs, location, chat histories and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating slack, Notion, Zoom harvest employment records, payroll details, workspace content. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data exfiltration confirmed; Trello data appeared for sale in January 2024 and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating notion shares 8 data types (email, names, device IDs) with third-party advertisers. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating lack of end-to-end encryption in Slack allows workspace owners to access messages and Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (70%), supported by evidence indicating stolen credentials used to access Slack accounts of 17,000 Nikkei employees. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating extensive data harvesting and sharing practices may lead to unintended data exposure and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (30%), supported by evidence indicating potential for adversaries to manipulate stored data due to insecure practices. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Nikkei Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/nikkei/incident/WORNOTGOOZOONIKTIN1777868873
- Nikkei CyberSecurity Rating page: https://www.rankiteo.com/company/nikkei
- Nikkei Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/wornotgoozooniktin1777868873-notion-slack-google-zoom-nikkei-workday-breach-march-2026/
- Nikkei CyberSecurity Score History: https://www.rankiteo.com/company/nikkei/history
- Nikkei CyberSecurity Incident Source: https://www.helpnetsecurity.com/2026/05/04/workplace-apps-data-collection-privacy/
- 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