Security Scan Report: 1url.at

Redirected to:
https://roblox.com.kz/users/951099436/profile
Submitted: Completed: publiccompleted
This website contacted 38 IPs in 8 countries across 27 domains to perform 174 HTTP transactions. The main domain is 1url.at and was registered 10 months ago.

Submitted URL: https://1url.at/www/robloxusers-951099594-profile

Effective URL:
https://roblox.com.kz/users/951099436/profile
Redirected

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

roblox.com.kz is a Roblox-branded look-alike domain corroborated as phishing by two independent feeds and reached via a flagged shortener. No credential form was captured, but this is a clear brand-impersonation host — avoid and report.

Risk Factors (4)
Primary domain roblox.com.kz corroborated as phishing by two independent threat-intel feeds
Impersonation of the Roblox brand on a non-official, disguised domain
Delivery through a link shortener that is itself flagged as phishing
Page copies Roblox branding, footer copyright and meta descriptions verbatim
Domain age information unavailable

Details

Page Title

nandelarvincatYTTz - Roblox

Scan Type

public

Domain Name Analysis

Domain '1url.at' uses the Austrian country-code top-level domain (.at) without a subdomain. The core label '1url' covers 4 characters split between one vowel and two consonants, plus one digit. Splitting it apart reveals 2 words: 1, url. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://1url.at/www/robloxusers-951099594-profile

Page Load Overview

11.61s
Total Load Time
4.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,948 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software68% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
68%
entertainment media
52%
cryptocurrency blockchain
46%
documentation technical
41%
adult content
38%

Detected Features

Search
OG: profile
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
26188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
418.66.112.121Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
418.64.211.111Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
43.174.46.121Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4128.116.21.3Amsterdam, North Holland, Netherlands
AS22697Roblox
496.16.53.142Akamai · CDNHaarlem, North Holland, Netherlands
AS20940Akamai International B.V.
418.245.46.89Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4143.204.181.33Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
43.167.227.15Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
17438--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BE142973F7A12037682F61F6A1186708D643E607DA4A89D4B1ECB3761FCAEE3B943505

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:MyH1XMN6Zi5QIuOqpnRAj9Em2d8HlccOpoZ8c2C5tsdMUNEw4BcpZHL0IPzyH54F:XXUvQtpRAj9ELd8HlccOP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:199598:BWKDbHZ7egyAAAGzEaARQCZBFoKwbJCkhiFwDRhATcQAqIoEpqIEogImGQMLoAhEAKAvAhiCCQqARFiAdjQ4KIEDajJIQ4BE

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:0000e7dbffffffc3
Perceptual Hash:b45343933c9cec93
Difference Hash:e8c8ae3638360026
Wavelet Hash:000004c3dfffffc3
Color Hash:#2dd24e

Other Hashes

Crop Resistant:e8c8ae3638360026

Scan History

Scan history not available

Unable to load historical scan data