Security Scan Report: insolj.vercel.app

Submitted: Jul 20, 2026, 12:45:25 PMCompleted: Jul 20, 2026, 12:47:52 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is insolj.vercel.app and was registered NaN years ago.

Submitted URL: https://insolj.vercel.app/

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

The site impersonates Instagram login on a Vercel subdomain, collects credentials, and lacks reputation – high‑risk phishing.

Risk Factors
Brand impersonation on untrusted subdomain
Login form collecting credentials
Unknown subdomain age
Unranked domain reputation
Domain age information unavailable

Details

Page Title

Insta • تسجيل الدخول

Scan Type

public

Language

🇸🇦

Arabic

(80% confidence)

Category

social media network

(98%)

Domain Information

The domain 'insolj.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'insolj'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside four consonants. Splitting it apart reveals 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

8.77s
Total Load Time
5
HTTP Requests
3
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:80%
Script:Arabic
Direction:rtl

Detection Details

Language Code:ar
Detection Confidence:80%
Script Type:Arabic
HTML Lang Attribute:ar
Text Length:128 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network98% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
98%
technology software
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3157.240.0.63Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1216.198.79.195United States
AS16509Amazon.com, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
53--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18182934E2EE31505324395FA7BB7564793668807F80ACC6EB78C2A658F86761CD83738

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:feO5YYFzbOmbWfhWjCnbHMJ2+Ya6yVx4akL/SR3:feHYFzbOmGhWjSbHMJ2+36yhk7SR3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18714:CIVIMYzEYA4UgB04BIIQECiYgrmCkOoggKQBBMOoinChQQEigABwCgxSIAIYCNhUINZ6aKQE8hQJkWIQpcGcIEA/8CiAAQBU

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:0018181818180000
Perceptual Hash:dc8c3333cc669999
Difference Hash:0c32b2b2b2300c10
Wavelet Hash:f8f8f8f8f8d8c080
Color Hash:#79a1d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data