Security Scan Report: eloquent-bublanina-d0dc9b.netlify.app

Redirected to:
https://eloquent-bublanina-d0dc9b.netlify.app/
Submitted: Sep 21, 2026, 4:51:19 AMCompleted: Sep 21, 2026, 4:51:40 AMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is eloquent-bublanina-d0dc9b.netlify.app and was registered 8 years ago.

Submitted URL: http://eloquent-bublanina-d0dc9b.netlify.app/

Effective URL:

https://eloquent-bublanina-d0dc9b.netlify.app/
Redirected

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

Site not foundsecondary capture

Scan Type

public

Domain Name Analysis

Domain 'eloquent-bublanina-d0dc9b.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'eloquent-bublanina-d0dc9b'. Count 7 characters in 'netlify' with two vowels and five consonants. Tokenizing the label suggests 3 words: net, li, fy. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://eloquent-bublanina-d0dc9b.netlify.app/

Page Load Overview

0.22s
Total Load Time
8 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:368 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical52% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
52%
technology software
52%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
263.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
32--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T184F1756A9347722BAC4F5C2E43F5B6CEA0569007C9E201D4BBED836862C76F352D652C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TG/wyA2qlRp7rqGyEtZJ3RoXIZaCDoX3rZVnIxMvfwDo+MXiykV:a/wyA2q57rJPoXgDoXbZV8MMo+MyV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7526:DAUxACFwEABBLIGlYiiDLDAIQJgGlQUJwA6hnBATOggIICMDUICWShABJAxQRERiAGDQC0yACBonIgEK8CmNABgAGYVACFK4

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:b399cc66334c3399
Difference Hash:00000c0c0c0c0000
Wavelet Hash:33332323c4c4fcfc
Color Hash:#ac6553

Other Hashes

Crop Resistant:00000c0c0c0c0000

Scan History

Scan history not available

Unable to load historical scan data