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

Submitted: Jul 15, 2026, 11:50:05 AMCompleted: Jul 15, 2026, 11:51:30 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 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: 99%

7
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Domain age information unavailable

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(30%)

Domain Information

Within the application-focused generic top-level domain (.app), 'fascinating-eclair-fd3572.netlify.app' is registered and includes subdomain 'fascinating-eclair-fd3572'. Count 7 characters in 'netlify' with two vowels and 5 consonants. Breaking it apart gives three words: net, li, fy. Median word length comes out to 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

0.42s
Total Load Time
2
HTTP Requests
1
Domains
3 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:312 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical30% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
263.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1716161A9D41A203F6D97681F13A4CA4D60297647DC9247D8FFEA53ACD2DBAF305C2438

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXq:TGHwyA2qlRYZJ3RoXI2+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3227:CAAAAEAMQAAAGAAQAAACIgBQAFA0QAIFBCSA4QCgIACAAAAIAEiSEgQIQgAQOCAEIAUACEAEQAQAAAiAEAAAACAIAAAAAARA

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:ffffe7e7e7e7ffff
Perceptual Hash:b366cc9933649933
Difference Hash:00000c0c0c080000
Wavelet Hash:f0f0e4e424243c3c
Color Hash:#d22dae

Other Hashes

Crop Resistant:00000c0c0c080000

Scan History

Scan history not available

Unable to load historical scan data