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Analyze » Aviation Industry Corporation of China » AVI1775687976

Incident Score: Analysis & Impact (AVI1775687976)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-63
Company Score Before Incident657 / 1000
Company Score After Incident594 / 1000
INCIDENT NUMBERAVI1775687976
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDOver 10 petabytes of sensitive...
INCIDENT DATE05/02/2026
STATUSUnder Investigation

Key Highlights From The Incident Analysis

  • Timeline of Aviation Industry Corporation of China'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 Aviation Industry Corporation of China 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 Aviation Industry Corporation of China breach identified under incident ID AVI1775687976.

The analysis begins with a detailed overview of Aviation Industry Corporation of China's information like the linkedin page: https://www.linkedin.com/company/aviation-industry-corporation-of-china, the number of followers: 355, the industry type: Industrial Machinery Manufacturing and the number of employees: 897 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 657 and after the incident was 594 with a difference of -63 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 Aviation Industry Corporation of China and their customers.

On 06 February 2024, National Supercomputing Center in Tianjin disclosed Data Breach issues under the banner "Massive Alleged Cyber Breach Targets Chinese State-Run Supercomputing System".

A suspected cyber actor, operating under the name *FlamingChina*, allegedly infiltrated China’s National Supercomputing Center in Tianjin and exfiltrated over 10 petabytes of sensitive national security data, including classified research tied to aerospace engineering, militar...

The disruption is felt across the environment, affecting National Supercomputing Center in Tianjin, and exposing Over 10 petabytes of sensitive data.

Formal response steps have not been shared publicly yet.

The case underscores how Under Investigation.

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 Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating allegedly infiltrating China’s National Supercomputing Center in Tianjin and Valid Accounts (T1078) with moderate to high confidence (70%), with evidence including went undetected for months, and supports over 6,000 institutional users. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), with evidence including went undetected for months, and high-performance computing environment access. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating classified research tied to aerospace engineering, military systems. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), with evidence including went undetected for months, and high-performance computing environment and Hide Artifacts (T1564) with moderate confidence (60%), supported by evidence indicating breach went undetected for months. Under the Credential Access tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), with evidence including supports over 6,000 institutional users, and high-value targets accessed. Under the Discovery tactic, the analysis identified File and Directory Discovery (T1083) with high confidence (90%), with evidence including 10 petabytes of sensitive data exfiltrated, and technical schematics, advanced simulations. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), with evidence including 10 petabytes of sensitive data exfiltrated, and classified documents marked secret and Data from Network Shared Drive (T1039) with moderate to high confidence (80%), supported by evidence indicating national Supercomputing Center supports 6,000+ institutional users. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), with evidence including 10 petabytes of data exfiltrated, and data surfaced on Telegram and Exfiltration Over Web Service (T1567) with moderate to high confidence (80%), supported by evidence indicating leaked data first surfaced on Telegram. Under the Impact tactic, the analysis identified Defacement (T1491) with lower confidence (40%), supported by evidence indicating data breach publicly disclosed via Telegram and Account Access Removal (T1531) with lower confidence (30%), supported by evidence indicating potential compromise of national security research. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (50%)
Valid Accounts (70%)
Persistence
Valid Accounts (80%)
Privilege Escalation
Valid Accounts (70%)
Defense Evasion
Valid Accounts (80%)
Hide Artifacts (60%)
Credential Access
Valid Accounts (80%)
Discovery
File and Directory Discovery (90%)
Collection
Data from Local System (90%)
Data from Network Shared Drive (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Web Service (80%)
Impact
Defacement (40%)
Account Access Removal (30%)

Sources & References