Security Scan Report: fascinating-eclair-fd3572.netlify.app

Submitted: Jul 8, 2026, 10:50:02 AMCompleted: Jul 8, 2026, 10:51:10 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 10 HTTP transactions. The main domain is fascinating-eclair-fd3572.netlify.app and was registered NaN years ago.

Submitted URL: https://fascinating-eclair-fd3572.netlify.app/

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

The site mimics Aruba Mail login, collects credentials on an unknown Netlify subdomain, and is high risk.

Risk Factors
Unknown subdomain age
Unranked domain
Brand impersonation of Aruba
Credential collection form
High JS obfuscation
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by perimeterx bot protection. Our scanner was challenged or blocked during access.

Page Title

Sign in to Webmail - Aruba Mail

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(26%)

Domain Information

The domain 'fascinating-eclair-fd3572.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'fascinating-eclair-fd3572'. Count 7 characters in 'netlify' holding two vowels versus 5 consonants. It segments into 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 https://fascinating-eclair-fd3572.netlify.app/

Page Load Overview

0.91s
Total Load Time
4
HTTP Requests
1
Domains
632 KB
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:798 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service26% confidence
Type: webapp
Method: ml+structural

All Detected Categories

government public service
26%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
463.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
41--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14E8412B1276368350963A9BAD9523F1DAC80EBF7C167C68EF1D3A0D51ACCF019F11668

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:rDdsi+rK6MeRi4oU68qRQD7ZO9ApqDdsi+rK6MeRi4oU68qRQD7ZO9Appp:v6rKbeB68qiZfM6rKbeB68qiZf9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:376215:zgySBIAKSWgHgVAKxCBBUgOBIJkEBBIiCAiIPIqWUBiZhFE6sJBFUJRiFkViE2aweiCHTKUuCJwxJA0CFhKQiQWBFghlAiSM

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:ff8f8f8b8bffffff
Perceptual Hash:b939c6c62dc2c23d
Difference Hash:ed3a381616b94410
Wavelet Hash:e18383830121ffff
Color Hash:#cc6ce0

Scan History

Scan history not available

Unable to load historical scan data