Security Scan Report: yoganoconstor.vercel.app

Submitted: Jul 9, 2026, 5:50:53 PMCompleted: Jul 9, 2026, 5:52:28 PMpubliccompleted
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Summary

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

Submitted URL: https://yoganoconstor.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

news media journalism

(58%)

Domain Information

The domain name 'yoganoconstor.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'yoganoconstor'. The core label 'vercel' covers 6 characters containing two vowels alongside 4 consonants. Word splitting yields two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.24s
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

news media journalism58% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
58%
government public service
58%
cryptocurrency blockchain
56%
healthcare medical
56%
real estate property
55%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.131United States
AS16509Amazon.com, Inc.
1216.198.79.131United States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13C3176B745B1702EF2378CFD34E637686244951BC0920F59B518AFF4E2C7CA75023645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7d0:nGi9ScnwEYd0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1636:ABEAAAAAAAEAACYAAIAACAAAABAICAAIAAAAAIIEQAQAAAAgABAIAACAAAAAIECAAgAABAwEAAAgAAQAAAAQIAAMAAAAAQAA

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:e6998c9966999999
Difference Hash:0000000c0c00000c
Wavelet Hash:0c0c3c24273f3f27
Color Hash:#783a4a

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data