- Gruppe
- Lamashtu
- Erfassungsdatum
- Status
- Online / unverändert
- Land
- Spanien
Hinweise zur Einordnung
Dieser Eintrag dokumentiert eine Veröffentlichung der Gruppe. Ein Angriff oder Datenabfluss ist damit nicht unabhängig bestätigt.
- Branche: geringe Konfidenz
Konfidenz ist eine heuristische Einschätzung. Prüfzeitpunkte beziehen sich auf die Anreicherung, nicht auf unabhängige Verifikation. Herkunft und Korrekturen finden Sie unter „Firmeninformationen & Datenherkunft“.
Angaben der Ransomware-Gruppe
UnbestätigtQuellentext als öffentliche Metadaten wiedergegeben. Die Aussagen wurden nicht unabhängig geprüft; Links sind ausgeblendet.
TRANS-LOGROÑO, S.A. is a Spanish road freight
and logistics company based in Logroño (La Rioja). It provides road haulage
CNAE 4941), freight forwarding, and warehouse services including storage,
order picking, and tank cleaning.
BREACH IMPACT REPORT
SUMMARY
We obtained a substantial dataset from a Spanish logistics and transportation company operating in La Rioja. The archive contains tens of thousands of files spanning six years of operations, from 2021 through 2026. The dataset covers multiple business entities including transportation services, warehouse operations, and logistics management.
The breadth of the breach is considerable. We have complete financial documentation, employee payroll records, tax filings with the Spanish tax authority (AEAT), medical diagnostic service records, insurance claims, public tender submissions, and digital certificates belonging to named individuals. The dataset also includes operational databases managing warehouse and dispatch functions.
What distinguishes this breach is the combination of high-volume financial records with sensitive personal data and healthcare-related documentation. The company handles transport for medical diagnostic services, which introduces patient-adjacent data into the mix.
WHAT WE HAVE
Personal Data
The dataset contains extensive employee records across multiple affiliated entities. Payroll documentation includes named individuals with their corresponding salary transfers. We identified DNI (Spanish national ID) and NIE (foreigner identification number) files associated with personnel files.
Digital certificates are present in the dataset. These .pfx and .p12 files are named with individual identification numbers, indicating they contain personal digital signatures used for official Spanish government transactions.
The payroll records span multiple years and include both Spanish nationals and foreign workers. Transfer justifications document salary payments to named employees on specific dates.
Financial Records
Financial documentation represents the largest portion of the dataset. We have:
Several thousand billing documents (facturación) from workshop operations
Over a thousand invoices spanning multiple business lines
Hundreds of accounting records including analytical accounting journals
Bank receipts and remittance documentation
Tax forms including Modelo 303 (VAT returns) and Modelo 111 (withholding tax)
Over a hundred files containing IBAN references
The financial records cover transportation services, warehouse operations, and logistics management. Documentation spans from 2021 through 2026, showing complete operational history.
Healthcare Data
The company provides transport services for mobile medical diagnostic units. The dataset includes:
Several thousand diagnostic service records
Documentation related to MRI and diagnostic equipment transport
Service records for mobile diagnostic units operating across multiple Spanish regions
Transport coordination documents for medical facilities
This healthcare-adjacent data documents the movement and servicing of medical diagnostic equipment.
Legal & Compliance
Legal documentation includes:
Hundreds of insurance claim files (siniestros) with accident reports, photographs, and correspondence
Over a hundred legal complaint filings (denuncias) including wage garnishment orders
Public tender submission packages with complete bidding documentation
Subsidy applications (subvenciones) including government grant requests with supporting certificates
The insurance claims include vehicle accidents, property damage, and liability matters. Legal complaints involve traffic violations and employment-related matters.
Operational Data
The dataset includes Access database files managing warehouse loading and dispatch operations. These .accdb and .mdb files contain operational records for logistics management.
Vehicle documentation includes fleet insurance policies, transport permits, and driver assignment records. The company operates under multiple transport authority jurisdictions.
Email archives are present in the dataset, containing correspondence with suppliers, clients, and government agencies.
The full scope of the dataset has been catalogued and indexed.
WHO CAN RECEIVE THIS DATA
Regulators
The Spanish Data Protection Agency (AEPD) has jurisdiction over personal data processing. The presence of DNI, NIE, payroll records, and digital certificates creates clear grounds for regulatory notification. Tax documentation involving AEAT filings could be relevant to fiscal authorities.
Individuals
Named individuals in the payroll and certificate files can be contacted directly. Those whose DNI and digital signatures are present in the dataset have a direct interest in knowing their personal identification documents and digital credentials have been exposed.
Competitors
The operational data provides visibility into pricing structures, client relationships, tender strategies, and operational costs. Competing logistics companies in the La Rioja region and broader Spanish market could use this information to undercut pricing or target clients.
Insurance Industry
The detailed insurance claim history documents accident patterns, liability exposures, and claim resolution practices. This information could affect future insurance underwriting and premium calculations.
WHAT CAN HAPPEN
The dataset can be transmitted to the Spanish Data Protection Agency (AEPD) for regulatory review
Named individuals can be notified directly that their personal data and digital certificates are in the dataset
Financial records can be analyzed to understand pricing structures and profit margins
Tender documentation can reveal bidding strategies and pricing approaches for public contracts
Insurance claim history can be shared with industry databases
The complete archive can be published and indexed, making it permanently searchable
Once published, other parties including fraud groups, identity thieves, and competitors can independently access and use the data
Published data gets indexed by search engines and surfaces during background checks and due diligence for years
