Security Scan Report: instagrmm.vercel.app

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Submitted: Jul 10, 2026, 1:51:15 AMCompleted: Jul 10, 2026, 1:52:21 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 4 HTTP transactions. The main domain is instagrmm.vercel.app and was registered NaN years ago.

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

AI Security Verdict

Confirmed Scam

Confidence: 85%

9
Risk Score

Page impersonates Facebook, hosts a login form, and triggers Safe Browsing social engineering warning – confirmed scam.

Risk Factors
Brand impersonation on unranked subdomain
Credential harvesting form
Safe Browsing social engineering flag
Domain age information unavailable

Details

Page Title

Instagram

Scan Type

public

Language

🇹🇷

Turkish

(80% confidence)

Category

social media network

(99%)

Domain Information

The domain 'instagrmm.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'instagrmm'. Count 6 characters in 'vercel' holding 2 vowels versus four consonants. Word splitting yields 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 https://instagrmm.vercel.app/

Page Load Overview

0.36s
Total Load Time
4
HTTP Requests
3
Domains
1.3 MB
Total Size

Language Analysis

Primary Language

🇹🇷Turkish
Code: tr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:tr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:tr
Text Length:68 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network99% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
99%
news media journalism
57%
entertainment media
50%
phishing scam
48%
forum community discussion
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.67United States
AS16509Amazon.com, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
1157.240.0.174Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
43--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15141661200B30C299393F2992653B61C7995D0172F45FE04BEEC5AAB5F95F81C95328E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Cx90/4+ESnGEEmNKHqbmSwo0hx8soAgpSIKLdrxm5iEda:Cx90JjEmNRbfwqmlo5iEa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2044:QCAAFABAgBAAAAAAAAABAAAAAoIAACgEAAAUAAAAAEBAABAAQAgAAQAAAAAAAoAAABhAAgAFBMBIAAoAgAABAAAAAAAAAAAA

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:ffffe7e7e7e7ffff
Perceptual Hash:e6269999cc663333
Difference Hash:00104c2c4c4c3000
Wavelet Hash:c0d8c0c0c3c3dbcb
Color Hash:#2d8649

Other Hashes

Crop Resistant:00104c2c4c4c3000

Scan History

Scan history not available

Unable to load historical scan data