Incident Score: Analysis & Impact (MUNSPI1770645203)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Spider ID'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 Spider ID 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 Spider ID breach identified under incident ID MUNSPI1770645203.
The analysis begins with a detailed overview of Spider ID's information like the linkedin page: https://www.linkedin.com/company/spiderid, the number of followers: 28, the industry type: Technology, Information and Internet and the number of employees: 3 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 768 and after the incident was 676 with a difference of -92 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 Spider ID 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 Cloud Instance Metadata API (T1552.005) with moderate to high confidence (70%), supported by evidence indicating exposed Firebase instances with emails, usernames, FCM tokens. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating emails, usernames, FCM tokens, profile photos, GPS coordinates exposed and Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating profile photos and GPS coordinates data collected from users. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating evidence suggests hackers had already accessed the data and Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating proof-of-Concept entry found, likely by automated bots scanning databases. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no remediation measures reported; data may have been altered and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating proof-of-Concept entry suggests unauthorized access to databases. Under the Reconnaissance tactic, the analysis identified Active Scanning: Vulnerability Scanning (T1595.002) with moderate to high confidence (80%), supported by evidence indicating proof-of-Concept entry found, common indicator of automated bot scans. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Spider ID Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/spiderid/incident/MUNSPI1770645203
- Spider ID CyberSecurity Rating page: https://www.rankiteo.com/company/spiderid
- Spider ID Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/munspi1770645203-spider-identifier-app-by-photo-dog-breed-identifier-photo-cam-breach-february-2026/
- Spider ID CyberSecurity Score History: https://www.rankiteo.com/company/spiderid/history
- Spider ID CyberSecurity Incident Source: https://www.techradar.com/pro/security/top-photo-id-apps-leak-user-data-over-150-000-thought-to-have-been-affected
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf