Security Scan Report: toplukonutbass.vercel.app

Submitted: Jul 8, 2026, 11:50:32 PMCompleted: Jul 8, 2026, 11:53:13 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is toplukonutbass.vercel.app and was registered NaN years ago.

Submitted URL: https://toplukonutbass.vercel.app/

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(77%)

Domain Information

You're looking at domain 'toplukonutbass.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'toplukonutbass'. The registrable portion 'vercel' spans 6 characters holding two vowels versus four consonants. Breaking it apart gives 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://toplukonutbass.vercel.app/

Page Load Overview

5.38s
Total Load Time
2
HTTP Requests
1
Domains
0 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:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical77% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
77%
government public service
41%
cryptocurrency blockchain
37%
technology software
31%
real estate property
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.3United States
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14381A3377B69211AF333C89FA0C26B893010A121C1ABDAB9FF579F15D5CA1251E1278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNMM/Jv:nGRe91n5O6Yp63XKk1Vr3hMRkM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3834:JJAAAQHBFQECECSAACAAJAAIAaAAgAQSCBAmiqMgAQAIAMAqAgEQISAQAAAEFEOBCNQEEAASAggAAQICgCkABAAICAFIgEgA

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:ffffffcfc3c3ffff
Perceptual Hash:b199ce663199cc66
Difference Hash:000000181e040000
Wavelet Hash:fcfcfcc003033333
Color Hash:#cc6ce0

Other Hashes

Crop Resistant:000000181e040000

Scan History

Scan history not available

Unable to load historical scan data