Security Scan Report: sveltekit-better-auth-template-nza6ozfvis.edgeone.app

Submitted: Apr 1, 2026, 9:53:09 PMCompleted: Apr 1, 2026, 9:54:20 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is sveltekit-better-auth-template-nza6ozfvis.edgeone.app and was registered NaN years ago.

Submitted URL: https://sveltekit-better-auth-template-nza6ozfvis.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Demo authentication page with no credential collection; appears legitimate and low risk.

Safety Factors
Hosted on known developer platform (edgeone.app) with developer‑style subdomain
JavaScript obfuscation consistent with standard minification
Low ranking does not imply brand impersonation
No forms or data collection elements present
Domain age information unavailable

Details

Page Title

SvelteKit Authentication Demo

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(60%)

Domain Information

You're looking at domain 'sveltekit-better-auth-template-nza6ozfvis.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'sveltekit-better-auth-template-nza6ozfvis'. Count 7 characters in 'edgeone' holding 4 vowels versus 3 consonants. Segmentation suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sveltekit-better-auth-template-nza6ozfvis.edgeone.app/

Page Load Overview

2.28s
Total Load Time
20
HTTP Requests
1
Domains
52 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:305 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software60% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
60%
cryptocurrency blockchain
43%
adult content
35%
government public service
32%
documentation technical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2043.152.26.58Singapore
201--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A1E165A6BC049C2F8203CFADB4B4BB69F1DE59AA8D4980B0C5EB536807E5DE1875CD05

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:bh1i1IwnlOpkfV5XleDvOCSuOXreMqWAay:bX0JnlOpkfV5XleDvO/XreMqWw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6895:BEZ0mAlEk4bUAPABYgSQQDlAEFJRIKdQACIIEAOVQJiQBAyAYUEIstoFAFABjIEaUQAIgKWiAAiN4jAbiCYJrQDAA8gAIIBq

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:9f200024080000cf
Perceptual Hash:ba1c9c1cb836bc9c
Difference Hash:304028282808001a
Wavelet Hash:9f0f070707070cdf
Color Hash:#ac53a8

Other Hashes

Crop Resistant:304028282808001a

Scan History

Scan history not available

Unable to load historical scan data