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Analyze » QBE Insurance » QBE1779179280

Incident Score: Analysis & Impact (QBE1779179280)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-13
Company Score Before Incident797 / 1000
Company Score After Incident784 / 1000
INCIDENT NUMBERQBE1779179280
Type of Cyber IncidentCyber Attack
ATTACK VECTORsupply chain, AI-related threats
DATA EXPOSEDNA
INCIDENT DATE18/05/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of QBE Insurance's Cyber Attack 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 QBE Insurance 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 QBE Insurance breach identified under incident ID QBE1779179280.

The analysis begins with a detailed overview of QBE Insurance's information like the linkedin page: https://www.linkedin.com/company/qbe, the number of followers: 201252, the industry type: Insurance and the number of employees: 14066 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 797 and after the incident was 784 with a difference of -13 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 QBE Insurance and their customers.

A newly reported cybersecurity incident, "AI Adoption in UAE Businesses Drives Productivity but Third-Party Cyber Risks Loom Large", has drawn attention.

A recent survey by QBE Middle East reveals that UAE businesses are rapidly embracing AI to boost productivity, efficiency, and innovation but many remain exposed to cyber threats through their supply chains.

The disruption is felt across the environment, plus an estimated financial loss of True.

In response, teams activated the incident response plan.

The case underscores how teams are taking away lessons such as The findings underscore the need for robust governance beyond internal AI use, including supply chain vulnerabilities, identity management, configuration audits, data encryption, and third-party evaluations to mitigate exposure, and recommending next steps like Strengthen oversight across the entire ecosystem, Implement identity management and configuration audits and Ensure data encryption.

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 Supply Chain Compromise (T1195) with high confidence (90%), supported by evidence indicating 73% of affected companies attributing an attack to a third-party supplier and Phishing (T1566) with moderate to high confidence (80%), supported by evidence indicating phishing and deepfake attacks among the most common tactics. Under the Execution tactic, the analysis identified User Execution (T1204) with moderate to high confidence (70%), supported by evidence indicating aI-related cyber incidents reported by 21% of businesses. Under the Credential Access tactic, the analysis identified Modify Authentication Process (T1556) with moderate confidence (60%), supported by evidence indicating deepfake attacks among the most common tactics (AI-related threats). Under the Defense Evasion tactic, the analysis identified Masquerading (T1036) with moderate to high confidence (70%), supported by evidence indicating deepfake attacks among the most common tactics. Under the Impact tactic, the analysis identified Endpoint Denial of Service (T1499) with moderate to high confidence (70%), supported by evidence indicating 31% faced business interruptions lasting at least a full day and Service Stop (T1489) with moderate confidence (60%), supported by evidence indicating business interruptions lasting at least a full day. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (50%), supported by evidence indicating 63% of UAE businesses experienced at least one cyber incident. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Supply Chain Compromise (90%)
Phishing (80%)
Execution
User Execution (70%)
Credential Access
Modify Authentication Process (60%)
Defense Evasion
Masquerading (70%)
Impact
Endpoint Denial of Service (70%)
Service Stop (60%)
Exfiltration
Exfiltration Over C2 Channel (50%)

Sources & References