Security Scan Report: supabase-auth-starter-d720b0cn76.edgeone.app

Submitted: Apr 2, 2026, 4:28:41 PMCompleted: Apr 2, 2026, 4:29:48 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 9 HTTP transactions. The main domain is supabase-auth-starter-d720b0cn76.edgeone.app and was registered NaN years ago.

Submitted URL: https://supabase-auth-starter-d720b0cn76.edgeone.app/signup.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Login page mimics Supabase branding on a new, low‑reputation subdomain – treat as credential phishing.

Risk Factors
Brand mismatch – Supabase brand displayed on unrelated subdomain
Credential‑harvesting login form on a newly created subdomain
Low domain reputation (Cisco Umbrella rank >100 K)
Unknown subdomain age (potentially <7 days)
Domain age information unavailable

Details

Page Title

Supabase Auth Starter

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'supabase-auth-starter-d720b0cn76.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'supabase-auth-starter-d720b0cn76'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. Tokenizing the label suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://supabase-auth-starter-d720b0cn76.edgeone.app/signup.html

Page Load Overview

0.68s
Total Load Time
9
HTTP Requests
1
Domains
118 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:142 chars
Detector Agreement:75%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
943.152.26.58Singapore
91--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T160D1436A6800CE4BDC7B6D69117DAD3A50CD893F87A1C9FC82DCCE181B819B95796DC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TGW1ZuMDnzbUcYBle0SwRTDc4EA7cg1xqzc/xmeptZbbpvEBgcCcj23Vhc185:aW1ZuOnhYBl0gnqzcpm8baBhU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6662:yARAgBNgAggQ2hHWQQBQggCAgBERBSQB0AAhgkCnnkxAAREgTFiEcYIEVFiQGAHUwBhAAQESgQMRjgAzYACQIBSBjYEAqCSg

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ffffe7ffe7e7ffff
Perceptual Hash:b388cc663399ce66
Difference Hash:00000c104d0c0000
Wavelet Hash:ffffe7e724240000
Color Hash:#d2532d

Other Hashes

Crop Resistant:00000c104d0c0000

Scan History

Scan history not available

Unable to load historical scan data