Security Scan Report: www.roblox.ss

Redirected to:
https://www.roblox.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 20 IPs in 4 countries across 17 domains to perform 197 HTTP transactions. The main domain is roblox.ss and was registered 1 month ago.

Submitted URL: https://www.roblox.ss/

Effective URL:
https://www.roblox.com/
Redirected

AI Security Verdict

High Risk

Confidence: 70%

7
Risk Score

Entry domain roblox.ss is a 16-day-old, unranked lookalike using Roblox's brand and redirecting to the real Roblox login; this cloaking pattern is high-risk even though the captured destination is official.

Risk Factors (3)
Newly registered lookalike domain using the Roblox brand on a non-official ccTLD
Cross-domain redirect to the brand's real login can hide a phishing kit from automated scanners
Entry domain lacks independent reputation or ranking and has no apparent ownership link to Roblox
Domain age information unavailable

Details

Page Title

Play Free Online Games on Roblox - Sign Up to Play!

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.roblox.ss' on the .ss country-code top-level domain and includes subdomain 'www'. The core label 'roblox' covers 6 characters holding two vowels versus 4 consonants. Breaking it apart gives 1 word: roblox. No strong language cues emerged from the frequency lists.

Screenshot

Millions of games. — Play immersive games, watch interactive clips, chat with friends, and build worlds of your own. Create account We use cookies to personalize and enhance your experience on our...

Page Load Overview

3.59s
Total Load Time
5.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,385 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business87% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
87%
entertainment media
74%
technology software
63%
news media journalism
43%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
26128.116.21.3Amsterdam, North Holland, Netherlands
AS22697Roblox
9202.170.75.201Mongolia
AS219067Chiara Conti
923.207.210.93Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
923.48.23.53Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
9128.116.44.3Frankfurt am Main, Hesse, Germany
AS22697Roblox
9128.116.5.3Frankfurt am Main, Hesse, Germany
AS22697Roblox
934.160.81.0Google · CDNKansas City, Missouri, United States
AS396982Google LLC
923.207.210.91Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
923.207.210.94Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
995.101.171.45Akamai · CDNBerlin, State of Berlin, Germany
AS20940Akamai International B.V.
19720--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10B8387A3BB10E836D98F5BF4A0115154C056AB26CE4AC9D4F0ECB3B52B9C6F7AF53016

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:u73dXvBHzLymSzTOhg9H4JlW8zHdKEV9j4IU/oGfX2cpJj4z7RFB4c+tonvmy36Q:03dXZTLyxT6yH4JlW8zHdKEV9j4IU/oD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83714:jA2LABArEx0KYZMGIIojoLKtQRbBICchgJCBMBsAAW5iAogEDEwQ4BEBjx4Yo4iQAQA5S4JLBRECFIEgVGI4VMInCENRRoJh

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:111c04310c3e19c6
Perceptual Hash:8a2eec8b62e8b33a
Difference Hash:a7753da368c2b30c
Wavelet Hash:411d1c791e3f19c7
Color Hash:N/A

Other Hashes

Crop Resistant:a7753ca368c2b30c

Scan History

Scan history not available

Unable to load historical scan data