Security Scan Report: viv-a-sorte.vercel.app

Submitted: Jul 2, 2026, 4:50:55 PMCompleted: Jul 2, 2026, 4:52:36 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 viv-a-sorte.vercel.app and was registered NaN years ago.

Submitted URL: https://viv-a-sorte.vercel.app/

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 451 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

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(64%)

Domain Information

The domain name 'viv-a-sorte.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'viv-a-sorte'. Count 6 characters in 'vercel' holding 2 vowels versus four consonants. Breaking it apart gives two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://viv-a-sorte.vercel.app/

Page Load Overview

3.54s
Total Load Time
2
HTTP Requests
1
Domains
2 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:92 chars
Detector Agreement:50%

Website Classification

Primary Category

social media network64% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
64%
government public service
59%
news media journalism
58%
cryptocurrency blockchain
56%
real estate property
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.195United 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

T1483174B745B1702EF23B88FE38E637686244911BC0860F99B558ABB8E2D7CA65023645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7OH0:TGi9ScnwEY80

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgACIAJABAAEQAoAAAGAAAAAAAAAAAgCAgAgAAIAADAASACAAAAAAgACAAkAAQAAABAAAAGAAAQABEAAgIggAIAMAB

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:ffffffe7e7ffffe7
Perceptual Hash:e699999966999989
Difference Hash:0000000c0c00000c
Wavelet Hash:fcfcfce420383820
Color Hash:#652d86

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data