Security Scan Report: roblxm.netlify.app

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Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: https://roblxm.netlify.app/

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Fake Roblox login on typosquatted roblxm.netlify.app that collects usernames and passwords. Do not enter credentials; report the page.

Risk Factors (5)
Brand impersonation of Roblox on a non-official domain
Credential (password) capture form on a typosquatted hostname
Free instant-publishing hosting platform subdomain with unknown true age
Unranked/unreputable domain claiming a major brand
Dead anchor links (e.g. 'Sign Up -> #') indicating a throwaway clone rather than a real service
Domain age information unavailable

Details

Page Title

Login to Roblox

Scan Type

public

Domain Name Analysis

The domain name 'roblxm.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'roblxm'. Count 7 characters in 'netlify' holding two vowels versus 5 consonants. Splitting it apart reveals 3 words: net, li, fy. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.33s
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

technology software36% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
36%
entertainment media
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
163.176.8.218Aws · 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

T1CAE1339B35E304417A57E1B82BB7934A3761D003C507CE287E9C7398CF85A959AF278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:n0TG9BgwxV+fgDTDlIUfQzSyONQSGJyzwunCjcXfVEnGvjZqbzGdj:KwxAYDfPf4XSGJyzpnPW2qbzGdj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7310:QgEB4AXAEEAJgACUFAAwToJgIKEapAErIcANyGBIyIwJAAYAIoBCjyAxRozIaAiJWrCgAiDSxAVXAsBrBCEAECEBCAiJQZwU

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:#6a2d86

Other Hashes

Crop Resistant:0830323232321000

Scan History

Scan history not available

Unable to load historical scan data