JLR Breach Incident Score: Analysis & Impact (JAG0132201110725)

In this Rankiteo incident briefing, we review the JLR breach identified under incident ID JAG0132201110725.

The analysis begins with a detailed overview of JLR's information like the linkedin page: https://www.linkedin.com/company/titan-industries, the number of followers: 1298515, the industry type: Motor Vehicle Manufacturing and the number of employees: 41687 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 823 and after the incident was 823 with a difference of 0 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 JLR and their customers.

On 05 October 2023, Jaguar Land Rover (JLR) disclosed Cyberattack, Systemic Economic Disruption and Supply Chain Impact issues under the banner "Cyberattack on Jaguar Land Rover (JLR) Disrupts UK GDP Growth".

The Bank of England (BoE) cited the cyberattack on Jaguar Land Rover (JLR) as a key factor in the UK's slower-than-expected GDP growth (0.2% in Q3 vs.

The disruption is felt across the environment, affecting Production Plants, Supply Chain Systems and Operational Infrastructure, plus an estimated financial loss of £2 billion (JLR alone), up to £2.1 billion (local economy).

In response, teams activated the incident response plan, while recovery efforts such as Government financial intervention and Gradual restart of production continue.

The case underscores how Ongoing (threat actor attribution unconfirmed; economic impact assessment complete), teams are taking away lessons such as First cyberattack in UK history to cause material economic/fiscal harm at national level, Supply chain vulnerabilities can amplify systemic risks beyond the primary target and Government intervention may be required for cyber incidents with macroeconomic consequences, and recommending next steps like Implement robust supply chain cybersecurity protocols to mitigate systemic risks, Enhance collaboration between private sector and government for critical infrastructure protection and Adopt NCSC's urgency-based cybersecurity frameworks to reduce exposure to nationally significant attacks, with advisories going out to stakeholders covering Bank of England: Cited cyberattack as factor in GDP growth revision, UK Government: Provided financial support to JLR due to systemic risk and NCSC: Warned of 50% increase in nationally significant cyberattacks (204 in 2023 vs. 89 in 2022).

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.

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 to high confidence (70%), supported by evidence indicating possible exploitation of unpatched vulnerabilities in production/supply chain systems and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating possible exploitation of ... insider threats (unconfirmed). Under the Impact tactic, the analysis identified Endpoint Denial of Service: Application or System Exploitation (T1499.004) with high confidence (95%), with evidence including halted car production across its major UK plants for **over a month**, and complete shutdown of major plants and Network Denial of Service (T1498) with moderate to high confidence (85%), supported by evidence indicating disrupted operations far beyond JLR, affecting suppliers and trade partners. Under the Lateral Movement tactic, the analysis identified Account Discovery: Domain Account (T1087.002) with moderate to high confidence (70%), supported by evidence indicating supply Chain Systems and Operational Infrastructure affected, suggesting internal propagation. Under the Defense Evasion tactic, the analysis identified Indicator Removal: File Deletion (T1070.004) with moderate confidence (60%), supported by evidence indicating inadequate cybersecurity measures to prevent systemic operational disruption (implies evasion of detection). Under the Command and Control tactic, the analysis identified Ingress Tool Transfer (T1105) with moderate to high confidence (70%), supported by evidence indicating high value targets such as Production Systems, Supply Chain Networks (suggests persistent C2 for disruption). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.