Incident Score: Analysis & Impact (LLO1774974791)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Lloyds Banking Group'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 Lloyds Banking Group 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 Lloyds Banking Group breach identified under incident ID LLO1774974791.
The analysis begins with a detailed overview of Lloyds Banking Group's information like the linkedin page: https://www.linkedin.com/company/lloyds-banking-group, the number of followers: 595747, the industry type: Financial Services and the number of employees: 62601 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 814 and after the incident was 748 with a difference of -66 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 Lloyds Banking Group and their customers.
On 12 March 2026, Lloyds Banking Group disclosed Data Exposure issues under the banner "Lloyds Banking Group Security Incident Exposes Transactions of 450,000 Mobile Users".
A faulty software update deployed by Lloyds Banking Group caused nearly 450,000 mobile banking customers to briefly see other customers’ transaction details within the app.
The disruption is felt across the environment, affecting Mobile banking app, and exposing Transaction details (amounts, dates, payment identifiers, National Insurance numbers), account information, payment references, with nearly 447,936 customers affected, 114,182 clicked on visible transactions records at risk, plus an estimated financial loss of £139,000 (compensation paid).
In response, moved swiftly to contain the threat with measures like Issue resolved by reverting or fixing the software update, and began remediation that includes Compensation paid to affected customers, investigation into the cause, and stakeholders are being briefed through Disclosed in a letter to the UK’s Treasury Select Committee.
The case underscores how Resolved, teams are taking away lessons such as Digital banking relies on technology prone to errors, emphasizing the need for transparency and robust testing of software updates to prevent data exposure, and recommending next steps like Implement stricter testing protocols for software updates, enhance monitoring for anomalies during updates, and improve communication strategies for incident disclosure, with advisories going out to stakeholders covering UK Treasury Select Committee emphasized risks of digital banking and need for transparency.
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: Compromise Software Supply Chain (T1195.002) with moderate to high confidence (80%), supported by evidence indicating faulty software update deployed by Lloyds Banking Group. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating users briefly saw other customers’ transaction details within the app. Under the Exfiltration tactic, the analysis identified Network Sniffing (T1040) with moderate confidence (60%), supported by evidence indicating transaction data...exposed within fractions of a second of one another and Exfiltration Over C2 Channel (T1041) with lower confidence (30%), supported by evidence indicating no evidence of unauthorized exfiltration, but exposure occurred. Under the Impact tactic, the analysis identified Endpoint Denial of Service: Application or System Exploitation (T1499.004) with moderate to high confidence (70%), supported by evidence indicating glitch caused users to see other customers’ transaction details and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating brief exposure of customer data due to software update glitch. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Lloyds Banking Group Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/lloyds-banking-group/incident/LLO1774974791
- Lloyds Banking Group CyberSecurity Rating page: https://www.rankiteo.com/company/lloyds-banking-group
- Lloyds Banking Group Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/llo1774974791-lloyds-banking-group-breach-february-2013/
- Lloyds Banking Group CyberSecurity Score History: https://www.rankiteo.com/company/lloyds-banking-group/history
- Lloyds Banking Group CyberSecurity Incident Source: https://securityaffairs.com/190213/data-breach/nearly-half-a-million-mobile-customers-of-lloyds-banking-group-affected-by-a-security-incident.html
- 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