Security Scan Report: toplukonutbasvurusp.vercel.app

Submitted: Jul 16, 2026, 12:50:42 AMCompleted: Jul 16, 2026, 12:53:18 AMpubliccompleted
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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 toplukonutbasvurusp.vercel.app and was registered NaN years ago.

Submitted URL: https://toplukonutbasvurusp.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

(79%)

Domain Information

Within the application-focused generic top-level domain (.app), 'toplukonutbasvurusp.vercel.app' is registered, featuring subdomain 'toplukonutbasvurusp'. Count 6 characters in 'vercel' holding 2 vowels versus 4 consonants. Segmentation suggests two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

5.61s
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 technical79% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
79%
government public service
44%
cryptocurrency blockchain
39%
technology software
34%
healthcare medical
32%

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

T15081A4377B69211AF333C89FA1C26B993000A121D1ABDAB9FF579F15D5CA1251E0278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNMtCZR:TGRe91n5O6Yp63XKk1Vr3h8ZRkM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3849:BAAQQQSAIAAygGSABIQEEBBACgiAAIDAAAoUwAAAkgcCCEGAgECAEAAAEABLIAEggCDBoQOEcQwAEAAICFEA5AAJAAkACKwA

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:000000180e040000
Wavelet Hash:fcfcfcc0c0c0f0f0
Color Hash:#bf4073

Other Hashes

Crop Resistant:000000180e040000

Scan History

Scan history not available

Unable to load historical scan data