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Analyze » Halifax » HALLLO1773312505

Incident Score: Analysis & Impact (HALLLO1773312505)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-24
Company Score Before Incident839 / 1000
Company Score After Incident815 / 1000
INCIDENT NUMBERHALLLO1773312505
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDCustomer account details, including names,...
INCIDENT DATE11/03/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Halifax'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 Halifax 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 Halifax breach identified under incident ID HALLLO1773312505.

The analysis begins with a detailed overview of Halifax's information like the linkedin page: https://www.linkedin.com/company/halifax, the number of followers: 0, the industry type: Banking and the number of employees: 4492 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 839 and after the incident was 815 with a difference of -24 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 Halifax and their customers.

On 12 March 2026, Lloyds Banking Group disclosed Technical Glitch / Data Exposure issues under the banner "Lloyds Banking Group Technical Glitch Exposing Customer Data".

On the morning of March 12, 2026, customers of Lloyds, Halifax, and Bank of Scotland reported a serious technical issue in their mobile banking apps.

The disruption is felt across the environment, affecting Mobile banking apps (Lloyds, Halifax, Bank of Scotland), and exposing Customer account details, including names, sort codes, spending histories, and transactions.

In response, moved swiftly to contain the threat with measures like Customers advised to log out and back in to resolve the issue, and stakeholders are being briefed through Public acknowledgment of the issue; reassurance that no unauthorized access occurred.

The case underscores how Ongoing, with advisories going out to stakeholders covering Log out and back in to resolve the issue; account balances remain accurate.

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 lower confidence (40%), supported by evidence indicating serious technical issue in their mobile banking apps. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating users were shown other customers’ account details, including names, sort codes. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with lower confidence (10%), supported by evidence indicating no evidence of data exfiltration. Under the Impact tactic, the analysis identified Data Manipulation: Stored Data Manipulation (T1565.001) with moderate to high confidence (70%), supported by evidence indicating users were shown other customers’ account details...unfamiliar transactions and Defacement: Internal Defacement (T1491.001) with moderate confidence (60%), supported by evidence indicating technical glitch exposing customer data...incorrect account details. 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 (40%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (10%)
Impact
Data Manipulation: Stored Data Manipulation (70%)
Defacement: Internal Defacement (60%)

Sources & References