Incident Score: Analysis & Impact (MUSSUP1772216763)
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 Supabase's Vulnerability 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 Supabase 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 Supabase breach identified under incident ID MUSSUP1772216763.
The analysis begins with a detailed overview of Supabase's information like the linkedin page: https://www.linkedin.com/company/supabase, the number of followers: 81528, the industry type: IT Services and IT Consulting and the number of employees: 270 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 744 with a difference of -7 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 Supabase and their customers.
Unnamed app (Lovable platform) recently reported "Lovable Platform Under Fire After AI-Generated App Exposes 18,000 Users’ Data", a noteworthy cybersecurity incident.
A security researcher uncovered critical vulnerabilities in an app hosted on the AI-driven *vibe-coding* platform Lovable, exposing the personal data of over 18,000 users, including students and educators from top U.S.
The disruption is felt across the environment, affecting AI-generated app backend (Supabase), and exposing 18,000+ users' data exposed, with nearly 18,000+ (14,928 unique emails, 4,538 student accounts, 870 full PII records) records at risk.
In response, moved swiftly to contain the threat with measures like Lovable contacted the app’s owner to mitigate risks, and began remediation that includes App creator addressing security issues (implementing RLS, role-based access), and stakeholders are being briefed through Public disclosure by security researcher; Lovable’s CISO responded to criticism.
The case underscores how Ongoing (app owner addressing vulnerabilities), teams are taking away lessons such as AI-generated code can introduce critical security flaws; platforms like Lovable must enforce security best practices for generated apps. Pre-publish scans and user education are insufficient without mandatory controls, and recommending next steps like Implement mandatory row-level security (RLS) and role-based access for AI-generated apps, Enforce security reviews before app publication and Improve incident response transparency and accountability.
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%), with evidence including app hosted on AI-driven platform Lovable exposed 18K users data, and logic flaws in AI-generated backend allowed unauthenticated access. Under the Credential Access tactic, the analysis identified Container API (T1552.007) with moderate to high confidence (70%), supported by evidence indicating supabase backend with missing row-level security (RLS) allowed admin email extraction. Under the Privilege Escalation tactic, the analysis identified Bypass User Account Control (T1548.002) with moderate to high confidence (80%), supported by evidence indicating malformed authentication function blocked legitimate users while allowing unauthenticated attackers. Under the Defense Evasion tactic, the analysis identified Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating missing row-level security (RLS) and role-based access controls in Supabase backend. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating 14,928 unique email addresses, 4,538 student accounts, 870 full PII records exposed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating unauthenticated attackers could extract admin emails and sensitive data and Automated Exfiltration (T1020) with moderate confidence (60%), supported by evidence indicating data breach impacting 18,000+ users via misconfigured backend. Under the Impact tactic, the analysis identified Data Destruction (T1485) with moderate to high confidence (70%), supported by evidence indicating unauthenticated attackers could delete accounts and alter grades and Stored Data Manipulation (T1565.001) with moderate to high confidence (80%), supported by evidence indicating attackers could alter grades in the educational app. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Supabase Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/supabase/incident/MUSSUP1772216763
- Supabase CyberSecurity Rating page: https://www.rankiteo.com/company/supabase
- Supabase Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/mussup1772216763-supabase-lovable-vulnerability-february-2026/
- Supabase CyberSecurity Score History: https://www.rankiteo.com/company/supabase/history
- Supabase CyberSecurity Incident Source: https://www.theregister.com/2026/02/27/lovable_app_vulnerabilities/
- 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