Security Scan Report: innstagrram.netlify.app

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Submitted: Sep 27, 2026, 12:10:14 PMCompleted: Sep 27, 2026, 12:10:52 PMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Typosquatted Netlify subdomain impersonating Instagram with a working username/password login form and a Google Safe Browsing Social Engineering hit — a credential phishing page. Do not enter any credentials.

Risk Factors (4)
Brand impersonation of Instagram on a lookalike domain unrelated to Meta/Instagram
Password + username capture form on a typosquatted host
Google Safe Browsing Social Engineering / phishing detection
Hosted on a free instant-publish platform subdomain with no verifiable age or reputation
Domain age information unavailable

Details

Page Title

Instagram

Scan Type

public

Domain Name Analysis

The domain 'innstagrram.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'innstagrram'. The core label 'netlify' covers 7 characters split between two vowels and five consonants. Tokenizing the label suggests 3 words: net, li, fy. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://innstagrram.netlify.app/

Page Load Overview

2.22s
Total Load Time
36 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:88 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

social media network
99%
entertainment media
54%
news media journalism
38%
e-commerce shopping
36%
technology software
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
363.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
335.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
62--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C662B42265B346A7642FB9AD27E673D930639307E302DBC4BD9D53D40F92C5728A3A4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:9OZGqlRFS1TLrgLENyWu4fRDk8WeHEjHkv2ztKqz1DW52VurfIvE:5B3Dk8WuEjHkvQtKqg24t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14965:AIDDAWiHiEKCgFQJSAGlKBkgmCyqIEAR4SRNQh2AK4gKxBAoJESIQd24LTj2zgxF8KiQgxuAzgEAhQEgLBGKBQeJOoDEChEy

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:ffffe7e7e7fffffe
Perceptual Hash:f7aa5daa55a85422
Difference Hash:0010284c4c280904
Wavelet Hash:0303232b27273f3e
Color Hash:#98c587

Other Hashes

Crop Resistant:0010284c4c280904

Scan History

Scan history not available

Unable to load historical scan data