Incident Score: Analysis & Impact (NSCAVI1775824460)
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 National Supercomputing Centre (NSCC) Singapore'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 National Supercomputing Centre (NSCC) Singapore 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 National Supercomputing Centre (NSCC) Singapore breach identified under incident ID NSCAVI1775824460.
The analysis begins with a detailed overview of National Supercomputing Centre (NSCC) Singapore's information like the linkedin page: https://www.linkedin.com/company/nsccsg, the number of followers: 3135, the industry type: Information Technology & Services and the number of employees: 38 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 696 and after the incident was 637 with a difference of -59 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 National Supercomputing Centre (NSCC) Singapore and their customers.
National Supercomputing Center (NSCC) in Tianjin recently reported "Massive Alleged Breach at China’s National Supercomputing Center Exposes Sensitive Military Data", a noteworthy cybersecurity incident.
A hacker claims to have stolen over 10 petabytes of highly sensitive data from China’s National Supercomputing Center (NSCC) in Tianjin, including military, aerospace, and missile-related research, as well as data linked to major defense organizations such as the Aviation Indu...
The disruption is felt across the environment, affecting National Supercomputing Center (NSCC) in Tianjin, and exposing 10 petabytes.
Formal response steps have not been shared publicly yet.
The case underscores how Unverified.
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 External Remote Services (T1133) with high confidence (90%), supported by evidence indicating exploited a compromised VPN. Under the Persistence tactic, the analysis identified Account Manipulation (T1098) with moderate to high confidence (70%), supported by evidence indicating compromised VPN suggests prolonged access. Under the Command and Control tactic, the analysis identified Proxy (T1090) with moderate to high confidence (80%), supported by evidence indicating used a botnet to exfiltrate data undetected. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating exfiltrate data undetected over six months and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating samples being sold for thousands of dollars in cryptocurrency. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 10 petabytes of highly sensitive data...military, aerospace, and missile-related research and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating classified documents, technical simulations, and weapon system research. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate confidence (60%), supported by evidence indicating compromised VPN suggests possible credential compromise. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating exploited a compromised VPN and Hide Artifacts (T1564) with moderate to high confidence (70%), supported by evidence indicating exfiltrate data undetected over six months. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- National Supercomputing Centre (NSCC) Singapore Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/nsccsg/incident/NSCAVI1775824460
- National Supercomputing Centre (NSCC) Singapore CyberSecurity Rating page: https://www.rankiteo.com/company/nsccsg
- National Supercomputing Centre (NSCC) Singapore Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/nscavi1775824460-chinas-national-supercomputing-center-aviation-industry-corporation-of-china-breach-april-2026/
- National Supercomputing Centre (NSCC) Singapore CyberSecurity Score History: https://www.rankiteo.com/company/nsccsg/history
- National Supercomputing Centre (NSCC) Singapore CyberSecurity Incident Source: https://securityaffairs.com/190536/hacking/the-alleged-breach-of-chinas-national-supercomputing-center-can-have-serious-geopolitical-consequences.html
- 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