Security Scan Report: 6568bdfa15f2f206de383621--elegant-dango-fe59cb.netlify.app

Submitted: Oct 22, 2025, 9:38:25 PMCompleted: Oct 22, 2025, 9:39:05 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is 6568bdfa15f2f206de383621--elegant-dango-fe59cb.netlify.app and was registered NaN years ago.

Submitted URL: https://6568bdfa15f2f206de383621--elegant-dango-fe59cb.netlify.app/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site returns a Netlify 404 page; no security concerns detected.

Safety Factors
Well‑established domain (>7 years)
No forms collecting sensitive data
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

Domain '6568bdfa15f2f206de383621--elegant-dango-fe59cb.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain '6568bdfa15f2f206de383621--elegant-dango-fe59cb'. Count 7 characters in 'netlify' with 2 vowels and five consonants. Splitting it apart reveals 3 words: net, li, fy. Median word length comes out to two characters. The linguistic tilt is Esperanto for 'neto'. Usage also turns up in Bosnian and Serbian contexts.

Screenshot

Security scan screenshot of https://6568bdfa15f2f206de383621--elegant-dango-fe59cb.netlify.app/

Page Load Overview

2.98s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
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
035.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
02a05:d014:58f:6200::259Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
02a05:d014:58f:6200::258Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
063.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
24--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FC6162A9C41A203F6D97681F13A4CA4D60297107DD9147D8FFAA53ACD2DBAF305D2438

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXs:nGHwyA2qlRYZJ3RoXIY+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3212:AAQAQARQIAEAACEBIACEICAAAIAAAQQJwAggRAAQACYAICEEgAAWABAAIAQQAAAgACAAAQgAAAAAAAEIsAgBAAAAAMQACECC

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:b324cc9b336c9933
Difference Hash:0000080c0c080000
Wavelet Hash:ffffe7e724240000
Color Hash:#5391ac

Other Hashes

Crop Resistant:0000080c0c080000

Scan History

Scan history not available

Unable to load historical scan data