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Analyze » KiwiRail » TELKIWALDBHP1783413728

Incident Score: Analysis & Impact (TELKIWALDBHP1783413728)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-76
Company Score Before Incident765 / 1000
Company Score After Incident689 / 1000
INCIDENT NUMBERTELKIWALDBHP1783413728
Type of Cyber IncidentBreach
ATTACK VECTORUnknown
DATA EXPOSED670,000+ position records, driver data...
INCIDENT DATE26/06/2026
STATUSUnder Investigation

Key Highlights From The Incident Analysis

  • Timeline of KiwiRail'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 KiwiRail 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 KiwiRail breach identified under incident ID TELKIWALDBHP1783413728.

The analysis begins with a detailed overview of KiwiRail's information like the linkedin page: https://www.linkedin.com/company/kiwirail, the number of followers: 61499, the industry type: Transportation/Trucking/Railroad and the number of employees: 2664 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 765 and after the incident was 689 with a difference of -76 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 KiwiRail and their customers.

On 04 July 2026, Teletrac Navman disclosed Data Breach issues under the banner "Teletrac Navman Suffers Major Data Breach: Fleet Telemetry Data of 2,988 Organizations Exposed".

A threat actor operating under the alias *laserscript* has claimed to exfiltrate sensitive fleet telemetry data from Teletrac Navman, a global telematics provider.

The disruption is felt across the environment, affecting Fleet telemetry production systems, and exposing 670,000+ position records, driver data (emails, mobile numbers, 1,200+ driver’s licenses), vehicle registration details, with nearly 670,000+ position records, 8,000+ drivers records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how Under Investigation.

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 moderate confidence (50%), supported by evidence indicating breach involves real-time GPS tracking data from the company’s production systems and Trusted Relationship (T1199) with moderate confidence (60%), supported by evidence indicating supply chain such as true, Teletrac Navman is a global telematics provider. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating real-time GPS tracking data collected over a 48-hour period from production systems. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 670,000+ position records, driver data (emails, mobile numbers, 1,200+ driver’s licenses) and Data from Cloud Storage (T1530) with moderate to high confidence (70%), supported by evidence indicating fleet telemetry data from production systems, likely cloud-based. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating threat actor *laserscript* has claimed to exfiltrate sensitive fleet telemetry data and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating data available for sale, 1,500-line sample shared, excessive downloads. Under the Impact tactic, the analysis identified Defacement (T1491) with lower confidence (40%), supported by evidence indicating data breach publicly disclosed, potential reputational damage and Stored Data Manipulation (T1565.001) with lower confidence (30%), supported by evidence indicating gPS tracking data collected over 48-hour period may have been altered. 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 (50%)
Trusted Relationship (60%)
Credential Access
Steal Application Access Token (70%)
Collection
Data from Local System (90%)
Data from Cloud Storage (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Web Service (70%)
Impact
Defacement (40%)
Stored Data Manipulation (30%)