Security Scan Report: 3dmodelrobloksstudio.netlify.app

Submitted: Sep 16, 2026, 1:45:06 PMCompleted: Sep 16, 2026, 1:45:27 PMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Fake Roblox sign-in page hosted on a free netlify subdomain with a working username/password form — classic credential phishing; do not enter any credentials.

Risk Factors (4)
Brand impersonation of Roblox on a non-official domain
Credential-capture login form (password field) on an unrelated free-hosting subdomain
Subdomain on hosting platform with unknown actual creation date
Unranked domain with no reputation
Domain age information unavailable

Details

Page Title

Войти в Roblox

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), '3dmodelrobloksstudio.netlify.app' is registered, featuring subdomain '3dmodelrobloksstudio'. Count 7 characters in 'netlify' containing two vowels alongside 5 consonants. Segmentation suggests 3 words: net, li, fy. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://3dmodelrobloksstudio.netlify.app/

Page Load Overview

1.80s
Total Load Time
1.2 MB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:80%
Script:Cyrillic
Direction:ltr

Detection Details

HTML Lang Attribute:ru
Text Length:149 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical85% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
85%
adult content
60%
finance banking
57%
news media journalism
48%
real estate property
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1212.42.38.199Russia
AS50313Teslatel LLC
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
33--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C7E19656A1E30953201394B56BE3A7463376D023D507CE6C3FDC63B88F8A6D9557278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:jGkIbYOhao9JpjiADp9SJ0ArqbgkzzUVh:bImqbh+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6884:CADCQS7QBIAAQVBgAnwVYAQaAhChBAiAkJFACB6ADmkAwggIgUFJIAEoAgBb0AA4gM34QBgSSBAEhIFcoAkCgSKrwATwIsAI

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:ffffe7e7e7e7e7ff
Perceptual Hash:e6cc99998c6666cc
Difference Hash:000c4d4d4d4d0c00
Wavelet Hash:3f270707e0e0e4f4
Color Hash:#b3e06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data