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Analyze » gastrodat GmbH » CHEGAS1776335039

Incident Score: Analysis & Impact (CHEGAS1776335039)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-112
Company Score Before Incident751 / 1000
Company Score After Incident639 / 1000
INCIDENT NUMBERCHEGAS1776335039
Type of Cyber IncidentBreach
ATTACK VECTORCompromised accounts (527 hotel/host accounts)
DATA EXPOSED6.5GB of personal and reservation...
INCIDENT DATE15/04/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of gastrodat GmbH'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 gastrodat GmbH 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 gastrodat GmbH breach identified under incident ID CHEGAS1776335039.

The analysis begins with a detailed overview of gastrodat GmbH's information like the linkedin page: https://www.linkedin.com/company/gastrodat-hotelsoftware, the number of followers: 587, the industry type: Software Development and the number of employees: 19 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 751 and after the incident was 639 with a difference of -112 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 gastrodat GmbH and their customers.

Chekin recently reported "Massive Data Leak Exposes Nearly 5 Million Hospitality Guests in Spain and Austria", a noteworthy cybersecurity incident.

Security researchers at Cybernews uncovered a major data breach involving Spanish and Austrian hospitality platforms, exposing nearly 5 million users’ personal information.

The disruption is felt across the environment, affecting Chekin, Gastrodat, and 170+ hospitality facilities, and exposing 6.5GB of personal and reservation data, with nearly Nearly 5 million users records at risk.

Formal response steps have not been shared publicly yet.

Overall, the incident is a reminder of why proactive monitoring and strong governance matter.

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 (T1078) with high confidence (90%), supported by evidence indicating compromised 527 accounts belonging to hotels and hosts. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (80%), supported by evidence indicating account credentials including JWT tokens were also compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating extract sensitive data via automated Python scripts and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating records pulled from over 170 facilities worldwide. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating attacker used Telegram to forward the stolen data in real time and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating stolen data totaling 6.5GB was left unprotected on an open server. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating 6.5GB of personal and reservation data exposed. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (90%)
Credential Access
Steal Application Access Token (80%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Web Service (70%)
Impact
Data Destruction (30%)