Asiana Airlines Breach Incident Score: Analysis & Impact (ASI1766656587)

In this Rankiteo incident briefing, we review the Asiana Airlines breach identified under incident ID ASI1766656587.

The analysis begins with a detailed overview of Asiana Airlines's information like the linkedin page: https://www.linkedin.com/company/asiana-airlines, the number of followers: 27834, the industry type: Airlines and Aviation and the number of employees: 1269 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 755 and after the incident was 676 with a difference of -79 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 Asiana Airlines and their customers.

Asiana Airlines recently reported "Asiana Airlines Employee Data Breach", a noteworthy cybersecurity incident.

Asiana Airlines disclosed a breach involving the personal information of about 10,000 employees after an external cyberattack on its internal intranet through unauthorized access to an overseas server.

The disruption is felt across the environment, affecting Internal intranet, and exposing Personal information of employees, with nearly 10,000 records at risk.

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Blocked illegal access route, changed passwords of all employees and system administrator accounts, and began remediation that includes Password changes, system administrator account updates, and stakeholders are being briefed through Emergency notice on internal bulletin board, public statement.

The case underscores how Ongoing, with advisories going out to stakeholders covering No customer information was leaked.

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.

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 to high confidence (70%), supported by evidence indicating unauthorized access to an overseas server connected to the airline’s intranet and Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating resetting passwords for all employee and system administrator accounts. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate confidence (60%), supported by evidence indicating unauthorized access gained; password resets imply possible credential compromise and Valid Accounts: Local Accounts (T1078.003) with moderate to high confidence (70%), supported by evidence indicating system administrator accounts targeted; password resets for all employees. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating personal data of 10,000 employees compromised; no customer data involved and Automated Exfiltration (T1020) with moderate confidence (60%), supported by evidence indicating large volume of records (10,000) suggests automated data extraction. Under the Defense Evasion tactic, the analysis identified Valid Accounts: Local Accounts (T1078.003) with moderate to high confidence (70%), supported by evidence indicating use of compromised employee/system admin accounts to evade detection and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating unauthorized access route blocked post-detection; implies possible tampering. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.