Security Scan Report: 68109f1419f1363c053e5282--regal-dodol-ac2577.netlify.app

Submitted: Oct 23, 2025, 7:46:07 PMCompleted: Oct 23, 2025, 7:47:22 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is 68109f1419f1363c053e5282--regal-dodol-ac2577.netlify.app.

Submitted URL: https://68109f1419f1363c053e5282--regal-dodol-ac2577.netlify.app/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site displays a normal 404 page with no security concerns.

Safety Factors
Standard 404 page with no suspicious content
No external links or redirects
Domain not hosting any malicious resources
Domain age information unavailable

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

other

(35%)

Domain Information

The domain '68109f1419f1363c053e5282--regal-dodol-ac2577.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain '68109f1419f1363c053e5282--regal-dodol-ac2577'. Its registrable label 'netlify' stretches across 7 characters holding 2 vowels versus 5 consonants. It segments into three words: net, li, fy. Expect 2 characters per word on average. The linguistic tilt is Esperanto for 'neto'. Usage also turns up in Bosnian and Serbian contexts.

Screenshot

Security scan screenshot of https://68109f1419f1363c053e5282--regal-dodol-ac2577.netlify.app/

Page Load Overview

30.18s
Total Load Time
3
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

other35% confidence
Type: static
Method: ml+structural

All Detected Categories

other
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
335.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
063.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
02a05:d014:58f:6200::258Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
02a05:d014:58f:6200::259Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
34--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EF6152A9C41A203F6D97681F13A4CA4D60297507DD9157D8FFAA53ACD2DBAF305C2438

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoX+:nGHwyA2qlRYZJ3RoXIa+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3212:AAQAQARQIAEAACEBIACEICAAAIAAAQQJwAggRAAQACYAICEEgAAWABAAIAQQAAAgACAAAQgAAAAAAAEIsEgBAAAAAMQACECC

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:0000080c0c080000
Wavelet Hash:fcfce4e424243c3c
Color Hash:#d28d2d

Other Hashes

Crop Resistant:0000080c0c080000

Scan History

Scan history not available

Unable to load historical scan data