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Lovable Technology (MustWin, LLC)

Lovable Technology (MustWin, LLC) Vendor Cyber Rating & Cyber Score

lovable.tech

World class engineers, designers, and strategic consultants helping companies create lovable technology. Lovable Technology is a team of 20+ web and mobile experts from companies like Yammer, Microsoft, YouTube, Apple, Amazon, HBO, CitiGroup, and NASA. We love what we do and we do it well. We're a highly collaborative and product oriented team with a history of predictably high quality, on time, and on budget results. We've worked with several Fortune 100 companies, VC-backed companies, and more than our fair share of pre-funding clients as well. How much do these clients love us? - Over 80% of our clients re-engage us within 12 months! - Our clients thanked us by rating us “Best in Breed” for Technical Skill, Product Design,


LT A.I CyberSecurity Scoring

LT
Company Information
Website:http://lovable.tech
Employees number:1
Number of followers:0
NAICS:513
Industry Type:Technology, Information and Internet
Homepage:lovable.tech
LT Risk Score (AI oriented)
Between 750 and 799
logo
LTTechnology, Information and Internet
Updated:
02/04/2026
780/1000
Fair
Baa
AaaAaABaaBaBCaaCaC
Powered by our proprietary A.I cyber incident model
Insurance prefers TPRM score to calculate premium
LT Global Score (TPRM)
xxxx
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LTTechnology, Information and Internet
•••
Score locked
Instant access to detailed risk factors
Vulnerabilities
Benchmark vs. industry & size peers
Findings

LT
LTFair
Current Score
780Baa (FAIR)
01000
1 incidents
-17 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
JULY 2026
780Before Incident
JUNE 2026
780Before Incident
MAY 2026
780Before Incident
APRIL 2026
780Before Incident
MARCH 2026
779Before Incident
FEBRUARY 2026
796Before Incident
Vulnerability
26 Feb 2026LT
Supabase and Lovable: AI-built app on Lovable exposed 18K users, researcher claims

Lovable Platform Under Fire After AI-Generated App Exposes 18,000 Users’ Data

779After Incident
CRITICAL-17
MUSSUP1772216763
Lovable Platform Under Fire After AI-Generated App Exposes 18,000 Users’ Data A security researcher has 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. universities. Tech entrepreneur Taimur Khan identified 16 flaws six deemed critical in an unnamed app featured on Lovable’s Discover page, which had amassed over 100,000 views and 400 upvotes. The app, designed for creating exam questions and managing grades, relied on Supabase for authentication and database management. However, due to missing security controls like row-level security (RLS) and role-based access, the AI-generated backend contained logic flaws that inverted access permissions. For example, a malformed authentication function blocked legitimate users while allowing unauthenticated attackers to access sensitive data, delete accounts, alter grades, and extract admin emails. The exposed dataset included 14,928 unique email addresses, 4,538 student accounts, and 870 records with full personally identifiable information (PII). Users spanned K-12 institutions and universities such as UC Berkeley and UC Davis. Khan criticized Lovable’s response after his initial report was allegedly closed without action, arguing that the platform should bear responsibility for apps it generates and promotes. Lovable’s CISO, Igor Andriushchenko, countered that the company received a "proper disclosure" only on February 26 and acted within minutes, noting that users are responsible for implementing security recommendations from pre-publish scans. He added that the vulnerable database was not hosted by Lovable and that the app’s creator is now addressing the issues. The incident highlights broader concerns about AI-generated code, with studies like Veracode’s finding that 45% of such code contains security flaws. While vibe coding named Collins Dictionary’s Word of the Year for 2025 aims to democratize app development, critics warn that unchecked AI tools can produce functional but dangerously insecure software. Lovable has since contacted the app’s owner to mitigate the risks.
INCIDENT DETAILS -
TYPE
Data Breach
IMPACT
Data Compromised: 18,000+ users' data exposedSystems Affected: AI-generated app backend (Supabase)Operational Impact: Unauthorized access to grades, account deletions, and admin email extractionBrand Reputation Impact: Criticism of Lovable’s response and responsibility for AI-generated appsIdentity Theft Risk: High (PII exposed)
DATA BREACH
Email addressesStudent accountsFull PIINumber Of Records Exposed: 18,000+ (14,928 unique emails, 4,538 student accounts, 870 full PII records)Sensitivity Of Data: High (PII, educational records)Data Exfiltration: Possible (unauthenticated access allowed data extraction)Personally Identifiable Information: Yes (full PII in 870 records)
JANUARY 2026
796Before Incident
DECEMBER 2025
796Before Incident
NOVEMBER 2025
796Before Incident
OCTOBER 2025
796Before Incident
SEPTEMBER 2025
796Before Incident
AUGUST 2025
796Before Incident

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