Incident Score: Analysis & Impact (HMR1782752907)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of HM Revenue & Customs'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 HM Revenue & Customs 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 HM Revenue & Customs breach identified under incident ID HMR1782752907.
The analysis begins with a detailed overview of HM Revenue & Customs's information like the linkedin page: https://www.linkedin.com/company/hmrc, the number of followers: 474065, the industry type: Government Administration and the number of employees: 25729 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 798 and after the incident was 769 with a difference of -29 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 HM Revenue & Customs and their customers.
Transport for London (TfL) recently reported "TfL Data Breach: Couple Jailed for £650k Tax Fraud After Stealing Employee Data", a noteworthy cybersecurity incident.
A husband and wife have been sentenced to three years and nine months in prison for orchestrating one of the most severe data breaches in Transport for London (TfL) history, resulting in a £433,000 loss to the UK’s public funds.
The disruption is felt across the environment, and exposing Passport numbers, National Insurance details, bank information, with nearly 107 records at risk, plus an estimated financial loss of £433,000.
In response, moved swiftly to contain the threat with measures like Stricter controls on employee data access implemented, and began remediation that includes Security system overhaul.
The case underscores how Closed (conviction secured), teams are taking away lessons such as Insider threats can lead to severe financial and reputational damage; stricter access controls are necessary for sensitive employee data, and recommending next steps like Implement stricter controls on employee data access, enhance monitoring of HR systems, and conduct regular security audits.
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 Valid Accounts: Cloud Accounts (T1078.004) with high confidence (90%), supported by evidence indicating luciana Akanbi, an HR employee at TfL, exploited her access to sensitive employee records. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating stealing personal data including passport numbers, National Insurance details, and bank information. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating stole personal data including passport numbers, National Insurance details, and bank information from 107 colleagues. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating used the stolen data to file 139 fraudulent tax rebate claims with HMRC and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating scheme involved 38 devices and a complex money-laundering operation. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating no evidence of encryption, but data was misused for fraud and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate to high confidence (80%), supported by evidence indicating filed 139 fraudulent tax rebate claims with HMRC, totaling nearly £650,000. Under the Defense Evasion tactic, the analysis identified Masquerading (T1036) with moderate to high confidence (70%), supported by evidence indicating initially attempted to shift blame to her husband’s IT-specialist cousin during HMRC’s investigation and Hide Artifacts: Hidden Users (T1564.002) with moderate confidence (60%), supported by evidence indicating scheme involved 38 devices and a complex money-laundering operation. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- HM Revenue & Customs Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/hmrc/incident/HMR1782752907
- HM Revenue & Customs CyberSecurity Rating page: https://www.rankiteo.com/company/hmrc
- HM Revenue & Customs Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/hmr1782752907-hm-revenue-customs-cyber-attack-september-2021/
- HM Revenue & Customs CyberSecurity Score History: https://www.rankiteo.com/company/hmrc/history
- HM Revenue & Customs CyberSecurity Incident Source: https://discover.swns.com/2026/06/couple-jailed-over-worst-ever-tfl-data-breach-and-650k-fraud/
- 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