ScanMalware.com

Security Scan Report: rooooo22.netlify.app

Submitted: Aug 8, 2026, 2:45:07 PMCompleted: Aug 8, 2026, 2:46:46 PMpubliccompleted
Loading additional data...

Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is rooooo22.netlify.app and was registered NaN years ago.

Submitted URL: https://rooooo22.netlify.app/

AI Security Verdict

Low Risk

Confidence: 68%

3
Risk Score

The site shows high JS obfuscation and uses a popular brand name on an unranked Netlify subdomain, but lacks credential or payment forms and any malware indicators.

Risk Factors
Unranked subdomain on a free hosting platform
Critical JavaScript obfuscation score
Brand name (Roblox) used on unrelated domain
Safety Factors
No forms collecting credentials or payment information
No Indicators of Compromise matches
No JavaScript malware YARA detections
No network IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Get Robux

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(80%)

Domain Information

Within the application-focused generic top-level domain (.app), 'rooooo22.netlify.app' is registered and includes subdomain 'rooooo22'. Count 7 characters in 'netlify' holding two vowels versus five consonants. Tokenizing the label suggests three words: net, li, fy. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rooooo22.netlify.app/

Page Load Overview

4.14s
Total Load Time
26
HTTP Requests
10
Domains
1.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:631 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media80% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

entertainment media
80%
cryptocurrency blockchain
71%
e-commerce shopping
63%
technology software
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.251.20.97Google · CDNUnited States
AS15169Google LLC
563.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
5185.199.110.153United States
AS54113Fastly, Inc.
513.33.158.31Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
518.66.92.206Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
265--

Page Statistics

26
Requests
10
Unique Domains
1.3 MB
Total Size

Detected Technologies3

Netlify
40%
HSTS
40%
Google Analytics
35%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FE42B66619E71423550384A9BEF2270E29B5E207D70BCC9836EC43949FC7F86C993398

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:awVoOifC08DiWisj2sOsWsIAxOimQhUO525hXdkpJqYsXtugFPORIPj21fxWdo2x:aqjzxSO525EHoOycUdbA7x0F

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12896:qwAICBN1AWYsAyzT4aBApwAACZcSIoRCJBUJAiSTgAFIOCDTSgpHEAqiMgCh/QMhkQDkAggBSEUBABAnckJNeAYYJsFACQwp

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:3e7e6c6000000000
Perceptual Hash:d1919f3e6c60616e
Difference Hash:f0f0d8d430900800
Wavelet Hash:ff7ffefe00180000
Color Hash:#2d7786

Other Hashes

Crop Resistant:a282d966261ba082,f0f0d8d430900800

Scan History

Scan history not available

Unable to load historical scan data