Security Scan Report: innstagrram.netlify.app

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Submitted: Sep 18, 2026, 12:45:01 AMCompleted: Sep 18, 2026, 12:45:24 AMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Instagram login page on typosquatted innstagrram.netlify.app that captures username and password. Classic credential phishing impersonating Instagram.

Risk Factors (4)
Instagram brand impersonation on a non-official typosquatted domain
Credential harvesting form (username/email + password) mimicking a real login page
Hosted on a free subdomain platform with no verifiable page creation date
Unranked in Cisco Umbrella reputation data
Domain age information unavailable

Details

Page Title

Instagram

Scan Type

public

Domain Name Analysis

Domain 'innstagrram.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'innstagrram'. The registrable portion 'netlify' spans 7 characters holding 2 vowels versus 5 consonants. It segments into 3 words: net, li, fy. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.67s
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
335.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
363.176.8.218Aws · 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

T1FD41951A00E14C17126088AA3295AA1C79C6E913DFC68DC476FD17EE6F93F83048F65E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TPcTGhOXaeC/hg8ZGGGdpWcz6HnS3F2i3I0pgpUVGZ9:T0TGzBZpGd8C6y3WdUVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2373:CAQCAQgABIACAECAQCAAAACAIAAAAEAADAAQQAAChiAAAAIBgAiCQAwIEAFAABAgIYBUBACAhBAABAAAQQgABQAgAAlAAAAA

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:#87c58f

Other Hashes

Crop Resistant:0010284c4c280904

Scan History

Scan history not available

Unable to load historical scan data