Security Scan Report: instagram-log-in.vercel.app

Submitted: Nov 21, 2025, 1:23:03 PMCompleted: Nov 21, 2025, 1:26:49 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 7 HTTP transactions. The main domain is instagram-log-in.vercel.app.

Submitted URL: https://instagram-log-in.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

High‑risk phishing site impersonating Instagram; avoid and report.

Risk Factors
Brand impersonation on an unranked, newly created domain
Credential harvesting password form
Domain age < 7 days with login form
Domain does not belong to the legitimate brand
Lack of any legitimate Indicators of Compromise but strong phishing indicators
Domain age information unavailable

Details

Page Title

Instagram clone

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

social media network

(83%)

Domain Information

You're looking at domain 'instagram-log-in.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'instagram-log-in'. The core label 'vercel' covers 6 characters holding 2 vowels versus four consonants. Tokenizing the label suggests 2 words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://instagram-log-in.vercel.app/

Page Load Overview

0.26s
Total Load Time
7
HTTP Requests
1
Domains
25 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt-BR
Text Length:287 chars
Detector Agreement:50%

Website Classification

Primary Category

social media network83% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
83%
technology software
32%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6216.198.79.3United States
AS16509AMAZON-02
364.29.17.3United States
AS16509AMAZON-02
72--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A6A1961125F6086B0A92E25C3D636B29AD839153D60EAD0831ED4F4F5FD7E574D8328F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:0oqUlHZAwgOSTSulJMU0Ly6PYFAgmeYiJb/72BWqLA/tt:vnl5AfeulyU05sVl765LGt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5087:CAAKAAOACogQKAGQAgMKIBBBAgMmgEHUCLkAkgIADQAgggAAgQECIAEwBEMATAEgACiQgYoiCDAAEQAGABUQIVQCYAEGMAgg

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:fee6e6e6fee6e6ff
Perceptual Hash:f7998c768c3388cc
Difference Hash:120a4e4c324c4c32
Wavelet Hash:d8c0ece4ece4c6c2
Color Hash:#799ed2

Other Hashes

Crop Resistant:120a4e4c324c4c32

Scan History

Scan history not available

Unable to load historical scan data