Security Scan Report: ini-videoku.vercel.app

Submitted: Mar 10, 2026, 5:45:10 PMCompleted: Mar 10, 2026, 5:46:19 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 1 HTTP transaction. The main domain is ini-videoku.vercel.app and was registered NaN years ago.

Submitted URL: https://ini-videoku.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

Download Video

Scan Type

public

Language

๐Ÿ‡ฎ๐Ÿ‡ฉ

ID

(80% confidence)

Category

download file sharing

(32%)

Domain Information

Within the application-focused generic top-level domain (.app), 'ini-videoku.vercel.app' is registered with subdomain 'ini-videoku'. The registrable portion 'vercel' spans 6 characters split between 2 vowels and four consonants. Word splitting yields two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ini-videoku.vercel.app/

Page Load Overview

1.81s
Total Load Time
8
HTTP Requests
5
Domains
157 KB
Total Size

Language Analysis

Primary Language

๐Ÿ‡ฎ๐Ÿ‡ฉIndonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:621 chars
Detector Agreement:100%

Website Classification

Primary Category

download file sharing32% confidence
Type: static
Method: ml+structural

All Detected Categories

download file sharing
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.198.79.65United Kingdom
1108.181.20.35Los Angeles, California, United States
AS40676Psychz Networks
1172.67.74.152United States
AS13335Cloudflare, Inc.
1149.154.166.110London, England, United Kingdom
AS62041Telegram Messenger Inc
1216.198.79.3United States
AS16509Amazon.com, Inc.
85--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19CC2F9FA22F304374117E0EB976B62093A35E00B6905ED853B8C9A80AFC5D75F673B95

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:bSVYAKiuKoDsn4yaJp8PcokDH6lqgqrRdxZoHw2mEKuMjiM+o3a9FNWTtRu06nPp:bOGK4nocXH6lqrINQ3M/yEXZZtvw9Yv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27110:iPA0nShBqAFCHoJgkAB1FAoUnAUBJJ5KxEhDCPYaD4xGERhEJsUh0MAaYDIBt0QEAgGlfXgiAkHhBDgTgBAGBDwS0aABYAgW

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:0000181818180000
Perceptual Hash:999966669899d966
Difference Hash:304cb2b2b2b20c10
Wavelet Hash:00003c3c3c3c2030
Color Hash:#3a7842

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data