Security Scan Report: instalgram.vercel.app

Redirected to:
https://instalgram.vercel.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 2 domains to perform 6 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://instalgram.vercel.app

Effective URL:
https://instalgram.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Instagram login page on a typosquatted Vercel subdomain that captures credentials and can exfiltrate them via a Telegram bot token; Safe Browsing and threat intel both flag phishing.

Risk Factors (7)
Brand impersonation of Instagram on an unrelated vercel.app subdomain
Typosquatted domain name 'instalgram' imitating 'instagram'
Credential login form collecting username/email and password
Telegram bot token in page script enabling exfiltration of submitted data
Safe Browsing Social Engineering detection and phishing threat-intel reports
Free hosting platform subdomain with unknown actual creation date
Dead/placeholder links (Sign up -> #) indicating a cloned credential-capture page
Domain age information unavailable

Details

Page Title

Instagram

Scan Type

public

Domain Name Analysis

The domain name 'instalgram.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'instalgram'. Its registrable label 'vercel' stretches across 6 characters with 2 vowels and 4 consonants. Segmentation suggests 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://instalgram.vercel.app

Page Load Overview

0.38s
Total Load Time
1.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:77 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

social media network
98%
news media journalism
65%
government public service
59%
technology software
49%
entertainment media
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
64--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DA21DB219084483713138EC829A1BF2E76C7E30BCB830918A2F913D99FD6D82C9474A9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:nCVC7vKWGVLd7EROGDR9cf8EYNuL82lcvaaAouUaw:nCcvQd7fGDVPWF6AouUd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1290:AAAAAKAAABACAUAAACAAAAAAEAkAAAAAAAAACAQAAABAIAAAAEAAEAAEAAAJAAAAGAEAAAQAAAAAAAAAAQIgAAECQAAAAAAA

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:0000181818000000
Perceptual Hash:cccc333399cc66cc
Difference Hash:1000303030001000
Wavelet Hash:000018183c3c0000
Color Hash:#65931f

Other Hashes

Crop Resistant:1000303030001000

Scan History

Scan history not available

Unable to load historical scan data