Security Scan Report: illustrious-yeot-fc6450.netlify.app

Submitted: Jul 4, 2026, 7:52:00 PMCompleted: Jul 4, 2026, 7:53:20 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is illustrious-yeot-fc6450.netlify.app and was registered NaN years ago.

Submitted URL: https://illustrious-yeot-fc6450.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

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'illustrious-yeot-fc6450.netlify.app' is registered and includes subdomain 'illustrious-yeot-fc6450'. The second-level label 'netlify' is 7 characters long with two vowels and 5 consonants. Word splitting yields three words: net, li, fy. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://illustrious-yeot-fc6450.netlify.app/

Page Load Overview

0.57s
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

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
235.157.26.135Aws · 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

T1F46171A9C41A203F6C93681F13A4CA4DA0297207DC9147D8FFEA53ACD2DBAF305C2428

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoX6:TGHwyA2qlRYZJ3RoXI6+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3227:CAQAAEAMQAAAGAAQAAACIgBQAFA0QAIFBCSA4QCgIACAAAAIAEiSEgQIQgAQKCAEIAUACEAEQAQIAAiAEAAAACAIAAAAAARA

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:b364cc9b334c9933
Difference Hash:00000c0c0c080000
Wavelet Hash:f0f0e4e4e4e4cccc
Color Hash:#3a783b

Other Hashes

Crop Resistant:00000c0c0c080000

Scan History

Scan history not available

Unable to load historical scan data