Security Scan Report: insta-dupe.vercel.app

Redirected to:
https://insta-dupe.vercel.app/auth
Site favicon
Submitted: Aug 28, 2026, 12:16:33 PMCompleted: Aug 28, 2026, 12:17:58 PMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 10 HTTP transactions. The main domain is insta-dupe.vercel.app and was registered 6 years ago.

Submitted URL: https://insta-dupe.vercel.app/

Effective URL:

https://insta-dupe.vercel.app/auth
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

The site impersonates Instagram and harvests credentials on an unknown‑age, unranked subdomain – high risk of phishing.

Risk Factors (3)
Brand impersonation of Instagram on an unranked subdomain
Credential collection form (email/password) on a newly created subdomain
Unranked domain with no reputation
Domain age information unavailable

Details

Page Title

Instagram Clone

Scan Type

public

Domain Name Analysis

The domain 'insta-dupe.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'insta-dupe'. The core label 'vercel' covers 6 characters with 2 vowels and 4 consonants. Tokenizing the label suggests two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://insta-dupe.vercel.app/

Page Load Overview

0.61s
Total Load Time
439 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:87 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network96% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
96%
technology software
55%
entertainment media
43%
news media journalism
33%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.198.79.195United States
AS16509Amazon.com, Inc.
564.29.17.195United States
AS16509Amazon.com, Inc.
102--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12CF00E021C404F1B033813006DC0F98C9457EE04A720EEA062E3A0BF24E8F86C85E0B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqIYlYTQrAMMJA56MJLMhHfAbpli7vPntctPRDU0qRkAqIbR2+MvfWHwluUVRR:hRwc6M8Iy7NctqvqsKWvUVcstOra

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:fb334234aeb43ec32d0bade0fa0e2622

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:0030383c30381000
Perceptual Hash:ce3331cc3398cc6e
Difference Hash:006064606060e000
Wavelet Hash:003c3c3c3c3c3c00
Color Hash:#d2b72d

Scan History

Scan history not available

Unable to load historical scan data