Security Scan Report: roblxm.netlify.app

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Submitted: Sep 23, 2026, 12:45:46 PMCompleted: Sep 23, 2026, 12:47:10 PMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Fake Roblox login page on typosquatted roblxm.netlify.app hosting a credential-harvesting form (email+password). Brand impersonation plus undeclared free-hosted domain — do not enter credentials.

Risk Factors (5)
Brand impersonation of Roblox on a non-official domain
Typosquatted domain name (roblxm vs roblox)
Credential-harvesting login form (username/email + password)
Free hosting-platform subdomain with unknown, possibly brand-new creation date
Unranked domain claiming to be a major brand
Domain age information unavailable

Details

Page Title

Login to Roblox

Scan Type

public

Domain Name Analysis

You're looking at domain 'roblxm.netlify.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'roblxm'. Count 7 characters in 'netlify' containing two vowels alongside five consonants. It segments into three words: net, li, fy. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.62s
Total Load Time
17 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:210 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network98% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
98%
entertainment media
73%
technology software
71%
documentation technical
55%
adult content
54%

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.
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B4E1439B35E304417A53E1B82BB7934A3761D003D507CE287E9C7398CF85A95AAF278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:T0TG9BgwxV+fgDTDlIUfQzSyONQSGJyzwunCjcXfVEnGvjZqbzGdj:OwxAYDfPf4XSGJyzpnPW2qbzGdj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7325:q+QGAkBiCESAEsACEBkBAwkJAhtHQAOQECEJU9PAwwFtgERiBEJAAZiIEC8o3jAABKEagYYgwxeJDwCAoZDRCCCgLwAyJgIa

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:0018181818180000
Perceptual Hash:cccc33339966cccc
Difference Hash:0830323232321000
Wavelet Hash:2c3c3c3c38383830
Color Hash:#2dd28d

Other Hashes

Crop Resistant:0830323232321000

Scan History

Scan history not available

Unable to load historical scan data