Security Scan Report: spontaneous-sawine-cf87cc.netlify.app

Redirected to:
https://spontaneous-sawine-cf87cc.netlify.app/
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Submitted: Aug 2, 2026, 12:45:34 PMCompleted: Aug 2, 2026, 12:49:00 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 2 HTTP transactions. The main domain is spontaneous-sawine-cf87cc.netlify.app and was registered NaN years ago.

Submitted URL: http://spontaneous-sawine-cf87cc.netlify.app/

Effective URL: https://spontaneous-sawine-cf87cc.netlify.app/Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

10
Risk Score

Page impersonates Roblox, presents a login form, and triggers Safe Browsing social‑engineering warning – confirmed credential phishing.

Risk Factors
Brand impersonation (Roblox) on mismatched domain
Credential collection form
Safe Browsing social engineering alert
Unranked domain with unknown subdomain creation date
Hosting on Netlify subdomain (potentially brand‑new)
Domain age information unavailable

Details

Page Title

Roblox

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

entertainment media

(75%)

Domain Information

You're looking at domain 'spontaneous-sawine-cf87cc.netlify.app' on the application-focused generic top-level domain (.app) with subdomain 'spontaneous-sawine-cf87cc'. The core label 'netlify' covers 7 characters holding 2 vowels versus five consonants. Tokenizing the label suggests three words: net, li, fy. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://spontaneous-sawine-cf87cc.netlify.app/

Page Load Overview

33.73s
Total Load Time
134
HTTP Requests
18
Domains
872 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:58%
Script Type:Latin
Text Length:1,197 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media75% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
75%
technology software
65%
download file sharing
38%
corporate
35%
documentation technical
28%

Detected Features

Login Form
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2223.207.210.90Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
16142.251.110.97Google · CDNUnited States
AS15169Google LLC
1623.48.23.165Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1618.66.147.47Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1663.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1654.192.35.3Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1623.32.239.82Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1623.207.210.75Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1348--

Page Statistics

134
Requests
18
Unique Domains
1.5 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FFA3D7B3EF55B432B80B42F1D02A6514D141952BCA0AD8D4F1FCB3782F88AE76F52692

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:CXP1HBGZKpFciMnTy3jxQsagcBw9VuQALmsOi9aDxjjfvHW6nCRAUEpF0I7/OFVN:CXZXx8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:100856:3KQxhQgoNAGYYCGGI0QwIAggwypkVQ0BEIgqScYAmiaIiUtEh4oAIptwsxcBkBRNLe4JRBTACKAFKQIJUGgCMclSAGWAJMQR

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:00ffffffffffc3c3
Perceptual Hash:995b31531557155d
Difference Hash:a8232a2a20000216
Wavelet Hash:0079f9f9f9e13103
Color Hash:#ac5365

Other Hashes

Crop Resistant:a8232a2a20000216

Scan History

Scan history not available

Unable to load historical scan data