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Analyze » Towards Mars! » TOW1772160424

Incident Score: Analysis & Impact (TOW1772160424)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-130
Company Score Before Incident752 / 1000
Company Score After Incident622 / 1000
Company LinkView Towards Mars! Profile
INCIDENT NUMBERTOW1772160424
Type of Cyber IncidentBreach
ATTACK VECTORMisconfigured Database
DATA EXPOSED24.5 million in-game chat records,...
INCIDENT DATE25/02/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Towards Mars!'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 Towards Mars! 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 Towards Mars! breach identified under incident ID TOW1772160424.

The analysis begins with a detailed overview of Towards Mars!'s information like the linkedin page: https://www.linkedin.com/company/towards-mars-, the number of followers: 227, the industry type: Computer Games and the number of employees: 17 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 752 and after the incident was 622 with a difference of -130 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 Towards Mars! and their customers.

Towards Mars recently reported "Dungeon Crusher Players Hit by Massive Data Leak Due to Misconfigured Database", a noteworthy cybersecurity incident.

A misconfigured Elasticsearch instance exposed sensitive data belonging to players of *Dungeon Crusher*, a popular RPG game developed by Towards Mars.

The disruption is felt across the environment, affecting Elasticsearch database, and exposing 24.5 million in-game chat records, 198,000 web purchase records, with nearly 24.5 million in-game chat records, 198,000 web purchase records, 65,500 mobile app store purchase records records at risk.

In response, moved swiftly to contain the threat with measures like Database secured after notification.

The case underscores how teams are taking away lessons such as The breach underscores the risks of improperly configured databases in gaming and e-commerce platforms.

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 high confidence (90%), supported by evidence indicating misconfigured Elasticsearch instance exposed sensitive data. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (70%), supported by evidence indicating partial credit card numbers, email addresses exposed in purchase records. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating 24.5M in-game chat records, 198K web purchase records exposed and Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating iP addresses, Steam IDs, transaction details compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (50%), supported by evidence indicating data exposure could enable unauthorized access/extraction and Transfer Data to Cloud Account (T1537) with lower confidence (40%), supported by evidence indicating elasticsearch misconfiguration may allow cloud data access. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of destruction, but exposure risks data integrity and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating exposed data could be altered for fraud/phishing. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating misconfigured Elasticsearch instance bypassed security controls. 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 (90%)
Credential Access
Unsecured Credentials: Credentials In Files (70%)
Collection
Data from Information Repositories (90%)
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (50%)
Transfer Data to Cloud Account (40%)
Impact
Data Destruction (30%)
Data Manipulation: Stored Data Manipulation (40%)
Defense Evasion
Impair Defenses: Disable or Modify Tools (70%)

Sources & References