Security Scan Report: insolj.vercel.app

Submitted: Completed: publiccompleted
This website contacted 3 IPs in 2 countries across 3 domains to perform 5 HTTP transactions. The main domain is vercel.app and was registered 6 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 (4)
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

Domain Name Analysis

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

nndoo. aca oi 20. sana ‘too ooo (istagram from Meta 2026.6)

Page Load Overview

8.77s
Total Load Time
13 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

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:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data