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Analyze » Asian Development Bank (ADB) » ASIALN1777487604

Incident Score: Analysis & Impact (ASIALN1777487604)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-71
Company Score Before Incident787 / 1000
Company Score After Incident716 / 1000
INCIDENT NUMBERASIALN1777487604
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDPassport scans, contracts, emails, player...
INCIDENT DATE24/04/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Asian Development Bank (ADB)'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 Asian Development Bank (ADB) 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 Asian Development Bank (ADB) breach identified under incident ID ASIALN1777487604.

The analysis begins with a detailed overview of Asian Development Bank (ADB)'s information like the linkedin page: https://www.linkedin.com/company/asian-development-bank, the number of followers: 735098, the industry type: International Trade and Development and the number of employees: 8215 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 787 and after the incident was 716 with a difference of -71 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 Asian Development Bank (ADB) and their customers.

Asian Football Confederation (AFC) recently reported "AFC Suffers Massive Data Breach, Exposing Sensitive Information of 150,000+ Members", a noteworthy cybersecurity incident.

The Asian Football Confederation (AFC), the governing body for football in Asia, has reportedly fallen victim to a significant cyberattack, resulting in the exposure of highly sensitive data belonging to over 150,000 members.

The disruption is felt across the environment, and exposing Passport scans, contracts, emails, player information, full legal names, dates of birth, nationalities, player positions, AFC IDs, club affiliations, match details, venue information, with nearly 150,000+ records at risk.

Formal response steps have not been shared publicly yet.

Overall, the incident is a reminder of why proactive monitoring and strong governance matter.

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 aFC has reportedly fallen victim to a significant cyberattack and Phishing: Spearphishing Link (T1566.002) with lower confidence (40%), supported by evidence indicating emails...creates a high-risk scenario for...targeted social engineering. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (70%), supported by evidence indicating contracts, emails, and detailed player information leaked and OS Credential Dumping (T1003) with moderate confidence (60%), supported by evidence indicating passport scans, verified email addresses, and contract data exposed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating passport scans, contracts, emails, player information compromised and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating aFC IDs, club affiliations, match details, venue information exposed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data breach impacting 150,000+ members advertised on PwnForums and Exfiltration Over Web Service: Exfiltration to Cloud Storage (T1567.002) with moderate confidence (60%), supported by evidence indicating leaked records advertised on dark web marketplace PwnForums. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on extent of breach or remediation measures and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating high-risk scenario for financial fraud, contract manipulation. Under the Resource Development tactic, the analysis identified Obtain Capabilities: Malware (T1588.001) with lower confidence (40%), supported by evidence indicating threat actor claimed assistance from ShinyHunters group. 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%)
Phishing: Spearphishing Link (40%)
Credential Access
Unsecured Credentials: Credentials In Files (70%)
OS Credential Dumping (60%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Web Service: Exfiltration to Cloud Storage (60%)
Impact
Data Destruction (30%)
Data Manipulation: Stored Data Manipulation (50%)
Resource Development
Obtain Capabilities: Malware (40%)