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Analyze » CEVA Logistics » CEVBOS1788361807

Incident Score: Analysis & Impact (CEVBOS1788361807)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-81
Company Score Before Incident815 / 1000
Company Score After Incident734 / 1000
INCIDENT NUMBERCEVBOS1788361807
Type of Cyber IncidentRansomware
ATTACK VECTORNA
DATA EXPOSEDBank account details, Social Security...
INCIDENT DATE24/07/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of CEVA Logistics's Ransomware 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 CEVA Logistics 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 CEVA Logistics breach identified under incident ID CEVBOS1788361807.

The analysis begins with a detailed overview of CEVA Logistics's information like the linkedin page: https://www.linkedin.com/company/ceva-logistics, the number of followers: 2076851, the industry type: Transportation, Logistics, Supply Chain and Storage and the number of employees: 69342 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 815 and after the incident was 734 with a difference of -81 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 CEVA Logistics and their customers.

On 01 August 2026, Ceva Logistics disclosed Ransomware issues under the banner "Cyberattack on Ceva Logistics Exposes Employee Data, Sparks Class Action Lawsuit".

A former employee has filed a class action lawsuit against Ceva Logistics, alleging the global freight provider failed to safeguard sensitive personal data stolen in a July cyberattack that disrupted operations across eight warehouses in the Netherlands and Europe.

The disruption is felt across the environment, affecting Warehouse operations in the Netherlands and Europe, and exposing Bank account details, Social Security numbers, with nearly At least 100 (potentially thousands) records at risk, plus an estimated financial loss of $5 million (claimed damages).

In response, and stakeholders are being briefed through No formal notification to affected employees.

The case underscores how Ongoing.

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 disrupted operations across eight warehouses in the Netherlands and Europe and Trusted Relationship (T1199) with lower confidence (40%), supported by evidence indicating prior ransomware attack in September 2025 never publicly disclosed. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate confidence (60%), supported by evidence indicating coinbaseCartel ransomware group attributed to the breach. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating failed to safeguard sensitive personal data...bank account details and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating social Security numbers compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating employee information...compromised via cyberattack and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating bank account details and Social Security numbers exposed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltration confirmed by ransomware group CoinbaseCartel. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate confidence (60%), supported by evidence indicating type such as Ransomware, attributed to CoinbaseCartel and Defacement (T1491) with lower confidence (40%), supported by evidence indicating brand reputation impact such as Yes. Under the Defense Evasion tactic, the analysis identified Disabling Security Tools (T1089) with moderate confidence (50%), supported by evidence indicating alleged failure to implement adequate security measures and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating cost-cutting over security, using cheaper ineffective measures. 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 (40%)
Execution
Exploitation for Client Execution (60%)
Credential Access
Unsecured Credentials (70%)
OS Credential Dumping (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Impact
Data Encrypted for Impact (60%)
Defacement (40%)
Defense Evasion
Disabling Security Tools (50%)
Impair Defenses: Disable or Modify Tools (60%)

Sources & References