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Analyze » MundoGEO » MUNSPI1770645203

Incident Score: Analysis & Impact (MUNSPI1770645203)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-95
Company Score Before Incident756 / 1000
Company Score After Incident661 / 1000
INCIDENT NUMBERMUNSPI1770645203
Type of Cyber IncidentBreach
ATTACK VECTORMisconfigured Database
DATA EXPOSEDEmails, usernames, FCM tokens, profile...
INCIDENT DATE08/02/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of MundoGEO'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 MundoGEO 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 MundoGEO breach identified under incident ID MUNSPI1770645203.

The analysis begins with a detailed overview of MundoGEO's information like the linkedin page: https://www.linkedin.com/company/mundogeo, the number of followers: 9413, the industry type: Events Services and the number of employees: 15 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 756 and after the incident was 661 with a difference of -95 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 MundoGEO and their customers.

Dog Breed Identifier Photo Cam recently reported "Three Photo ID Apps Expose Sensitive Data of 152K Users via Misconfigured Firebase Instances", a noteworthy cybersecurity incident.

Cybersecurity researchers at Cybernews uncovered three popular mobile apps leaking highly sensitive user data through exposed Firebase instances.

The disruption is felt across the environment, affecting Firebase databases of three mobile apps, and exposing Emails, usernames, FCM tokens, profile photos, GPS coordinates, with nearly 152,000 records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how teams are taking away lessons such as The breach highlights the risks of assuming app security based on popularity alone, as even widely downloaded applications can harbor critical vulnerabilities.

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 Firebase instances lacking proper authentication and access controls. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Cloud Instance Metadata API (T1552.006) with moderate to high confidence (80%), supported by evidence indicating exposed Firebase instances...lacking proper authentication and access controls. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (95%), supported by evidence indicating exposed emails, usernames, FCM tokens, profile photos, GPS coordinates and Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating profile photos, GPS coordinates data...could enable physical tracking. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating evidence suggests hackers had already accessed the data and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating proof-of-Concept entry...left by automated bots scanning for unsecured databases. Under the Impact tactic, the analysis identified Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating proof-of-Concept entry...common indicator left by automated bots and Defacement: Internal Defacement (T1491.001) with lower confidence (40%), supported by evidence indicating no details on whether data was altered or defaced. 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: Cloud Instance Metadata API (80%)
Collection
Data from Information Repositories (95%)
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (60%)
Impact
Data Manipulation: Stored Data Manipulation (50%)
Defacement: Internal Defacement (40%)