Security Scan Report: www.roblox.et

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Submitted: Completed: publiccompleted
This website contacted 29 IPs in 6 countries across 26 domains to perform 324 HTTP transactions. The main domain is roblox.et.

Submitted URL: https://www.roblox.et/users/1102368654/profile

AI Security Verdict

Confirmed Scam

Confidence: 85%

9
Risk Score

Clone of Roblox served on the unofficial roblox.et domain, flagged as phishing by multi-source threat intelligence. Brand impersonation of Roblox Corporation; avoid entering any credentials or account details.

Risk Factors (5)
Page presents itself as Roblox Corporation on the non-official .et domain (brand impersonation)
Primary domain flagged as phishing by two independent threat-intel feeds
19 cross-domain redirects on a single profile URL
Roblox-branded signup funnel (/account/signupredir) hosted off the legitimate roblox.com domain
HIGH-severity network IDS alert (Spamhaus DROP listed traffic)
Domain age information unavailable

Details

Page Title

Salaz - Roblox

Scan Type

public

Domain Name Analysis

The domain name 'www.roblox.et' uses the Ethiopian country-code top-level domain (.et) with subdomain 'www'. The core label 'roblox' covers 6 characters split between 2 vowels and 4 consonants. It segments into 1 word: roblox. Median word length is six characters. No strong language cues emerged from the frequency lists.

Screenshot

RABLOX Charts Marketplace Create Robux Q Search 3D Salaz (a @9DarkBlox? za Aad Connection z + 16 Connections 12K Followers 9 Following Hil Everyone Join me and Trade in Games more About Creatio...

Page Load Overview

4.40s
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:1,559 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media77% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
77%
corporate business
74%
social media network
72%
technology software
70%
documentation technical
61%

Detected Features

Search
OG: profile

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16202.170.75.201Frankfurt am Main, Hesse, Germany
AS219067Chiara Conti
1118.66.112.38Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1123.207.210.83Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1123.48.23.37Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
11128.116.31.3Slough, England, United Kingdom
AS22697Roblox
1199.84.152.87Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1154.192.35.108Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
11142.251.110.97Google · CDNUnited States
AS15169Google LLC
1134.160.81.0Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1118.66.112.121Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
32429--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C304E973FB546037A82F69F6A0546718D142E607DE4645D4B0ECF3B91FCAEE3AA4340A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:IlX+a68iGHT/3T8uOd7Q7V7u7n7V7s7I7C7v797+7L7B7h777W7S62+m22u6re7S:mXrtHT/3TQ7Q7V7u7n7V7s7I7C7v797E

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184924:gmhORgBYgQQLhLUQoAIBwkBICAiJ5CkEBagJuVQQarlaFVZgCQ0I4ZAAgD/yhIl5jUEIgmCAUGRNOIQiMgILFgtvBEEBI5QB

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:0000d3dfffc3ffc7
Perceptual Hash:b446334599cc7c9e
Difference Hash:e8c8a6363e163e1c
Wavelet Hash:000042dfdfc3dfc7
Color Hash:N/A

Other Hashes

Crop Resistant:e8c8a6363e163e1c

Scan History

Scan history not available

Unable to load historical scan data