ScanMalware.com

Security Scan Report: ini-videoku.vercel.app

Redirected to: https://ini-videoku.vercel.app/

Submitted: Mar 24, 2026, 6:05:37 PMCompleted: Mar 24, 2026, 6:07:02 PMpubliccompleted
Loading additional data...

Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 1 HTTP transaction. The main domain is ini-videoku.vercel.app and was registered NaN years ago.

Submitted URL: http://ini-videoku.vercel.app

Effective URL: https://ini-videoku.vercel.app/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Hosted on reputable Vercel platform
Domain age information unavailable

Details

Page Title

Download Video

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

download file sharing

(32%)

Domain Information

Domain 'ini-videoku.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'ini-videoku'. The second-level label 'vercel' is 6 characters long with 2 vowels and four consonants. Word splitting yields two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.13s
Total Load Time
7
HTTP Requests
4
Domains
636 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
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
4216.198.79.3United States
AS16509Amazon.com, Inc.
1149.154.166.110London, England, United Kingdom
AS62041Telegram Messenger Inc
1108.181.20.35Los Angeles, California, United States
AS40676Psychz Networks
1104.26.13.205United Kingdom
AS13335
74--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T124322F5B56A30052B817E4B96BF75B0A3298E403D50BCDAE3FDC7288CF81AF5995234C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ndYJQAw5urOHFQAkBESeKxUHf2s9LfGiBYyzY2KiuKoDsn4yaJf:nkOlDke+U//1BYaaK4nf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10982:EAKJaJAII0DgbQCAZwIABdQCCKTywkoAFI1gBH4AVeKokaygFT0nQ1RaMANLIYIJCMSEEOtwwySFYlEIElSAyYsAqOsEwemg

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:cc663399cc3399cc
Difference Hash:00083232b2b20c10
Wavelet Hash:00001c1c38382030
Color Hash:#e0966c

Other Hashes

Crop Resistant:00083232b2b20c10

Scan History

Scan history not available

Unable to load historical scan data