Incident Score: Analysis & Impact (BOE1780526903)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Boeing's Ransomware 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 Boeing 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 Boeing breach identified under incident ID BOE1780526903.
The analysis begins with a detailed overview of Boeing's information like the linkedin page: https://www.linkedin.com/company/boeing, the number of followers: 3885903, the industry type: Aviation & Aerospace and the number of employees: 127133 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 753 and after the incident was 702 with a difference of -51 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 Boeing and their customers.
On 01 November 2023, Boeing disclosed Ransomware issues under the banner "Boeing Cyber Incident Following LockBit Ransomware Threat".
Boeing confirmed an ongoing investigation into a cyber incident affecting its parts and distribution business, part of its Global Services division.
The disruption is felt across the environment, affecting Parts and distribution business (Global Services division), and exposing Sensitive data.
In response, and stakeholders are being briefed through Notifying customers and suppliers.
The case underscores how Ongoing, with advisories going out to stakeholders covering Customers and suppliers notified.
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 cyber incident affecting its parts and distribution business and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating lockBit ransomware gang alleged data theft (typical account abuse). Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (70%), supported by evidence indicating lockBit ransomware strain (typically requires execution). Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating lockBit likely maintained access via compromised accounts. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating lockBit likely escalated privileges via stolen credentials. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (70%), supported by evidence indicating lockBit ransomware (known for obfuscation tactics) and Execution Guardrails (T1480) with moderate confidence (50%), supported by evidence indicating lockBit avoids detection via environmental checks. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate to high confidence (70%), supported by evidence indicating lockBit typically dumps credentials for lateral movement. Under the Discovery tactic, the analysis identified File and Directory Discovery (T1083) with moderate to high confidence (80%), supported by evidence indicating lockBit exfiltrated tremendous amount of sensitive data. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating sensitive data compromised via parts and distribution business. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating lockBit threatened to leak stolen data unless ransom paid. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate to high confidence (80%), supported by evidence indicating lockBit ransomware (typical encryption tactic) and Inhibit System Recovery (T1490) with moderate to high confidence (70%), supported by evidence indicating lockBit likely disabled recovery mechanisms. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Boeing Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/boeing/incident/BOE1780526903
- Boeing CyberSecurity Rating page: https://www.rankiteo.com/company/boeing
- Boeing Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/boe1780526903-boeing-ransomware-november-2023/
- Boeing CyberSecurity Score History: https://www.rankiteo.com/company/boeing/history
- Boeing CyberSecurity Incident Source: https://www.reuters.com/business/aerospace-defense/boeing-investigating-cyber-incident-affecting-parts-business-2023-11-01/
- 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