Security Scan Report: 1oblox.netlify.app

Redirected to:
https://1oblox.netlify.app/
Submitted: Jul 30, 2026, 1:45:20 PMCompleted: Jul 30, 2026, 1:47:42 PMpubliccompleted

This website contacted 2 IPs in 1 country across 2 domains to perform 5 HTTP transactions. The main domain is 1oblox.netlify.app and was registered 8 years ago.

Submitted URL: http://1oblox.netlify.app/

Effective URL:

https://1oblox.netlify.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 94%

10
Risk Score

Page harvests Roblox credentials and exfiltrates them to an external server; confirmed phishing scam.

Risk Factors (4)
Credential exfiltration via JavaScript
Brand impersonation of Roblox
Login form on untrusted subdomain
External POST to api.ipify.org
Domain age information unavailable

Details

Page Title

Login to Robloxsecondary capture

Scan Type

public

Domain Name Analysis

The domain name '1oblox.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain '1oblox'. The second-level label 'netlify' is 7 characters long with 2 vowels and 5 consonants. Tokenizing the label suggests 3 words: net, li, fy. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://1oblox.netlify.app/

Page Load Overview

1.75s
Total Load Time
68 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:168 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media76% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
76%
technology software
70%
adult content
60%
documentation technical
58%
social media network
55%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3128.116.5.3Frankfurt am Main, Hesse, Germany
AS22697Roblox
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
52--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T159D185EB2AA704517943D0B427DB9704722AD023D90BCD787FACA359CFC57850AA27CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TBrtnhGZVBOck/lRgS9wv5QpDKDrvDDvVp6ToEdqoIC4gZTNnkdxMo/6JWI:VrtnhGfBNk/8T5QpDKDr7xskwbkHMoq3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6639:gBkQBQpMDsCEoMQEoJYACgmqIiBQQUAgCSUBHQEAgrIAhAhEC8QQgEEGAAkCsAATggCmCYWaEAASIAoECgyJCGCBEOAtAxQL

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:ffffe7e7e7ffffff
Perceptual Hash:b399cc6633998c66
Difference Hash:0000080c4d080400
Wavelet Hash:30300404e4e4fcfc
Color Hash:#2dd2ba

Other Hashes

Crop Resistant:0000080c4d080400

Scan History

Scan history not available

Unable to load historical scan data