Security Scan Report: gentle-dusk-cb42a7.netlify.app

Redirected to:
https://gentle-dusk-cb42a7.netlify.app/
Submitted: Jul 9, 2026, 11:51:24 PMCompleted: Jul 9, 2026, 11:52:44 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is gentle-dusk-cb42a7.netlify.app and was registered NaN years ago.

Submitted URL: http://gentle-dusk-cb42a7.netlify.app/

Effective URL: https://gentle-dusk-cb42a7.netlify.app/Redirected

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

(25%)

Domain Information

The domain 'gentle-dusk-cb42a7.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'gentle-dusk-cb42a7'. Its registrable label 'netlify' stretches across 7 characters containing two vowels alongside 5 consonants. It segments into 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 http://gentle-dusk-cb42a7.netlify.app/

Page Load Overview

0.24s
Total Load Time
3
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 technical25% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
25%

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.
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D76162A9C41A203F6D97681F13A4CA4D60297607DD9157E8FFAA53ACC2DBAF305C2438

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXr:nGHwyA2qlRYZJ3RoXIj+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3212:AAQAQARQIAEAACEBIACEICAAAIAAAQQJwAggRAAQACYAICEEgAAWABAAIAQQAAAgACAAAQgAAAAACAEIsAgBAAAAAMQACECC

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:b326cc99336c9933
Difference Hash:0000080c0c080000
Wavelet Hash:f0f0e4e424243c3c
Color Hash:#bf9b40

Other Hashes

Crop Resistant:0000080c0c080000

Scan History

Scan history not available

Unable to load historical scan data