Security Scan Report: aloejsk839382.netlify.app

Submitted: Oct 17, 2025, 4:51:10 AMCompleted: Oct 17, 2025, 4:54:10 AMpubliccompleted
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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 aloejsk839382.netlify.app and was registered NaN years ago.

Submitted URL: https://aloejsk839382.netlify.app/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Established domain age (>7 years)
No malicious Indicators of Compromise
No credential or payment collection forms
Standard Netlify 404 page with no suspicious content
Domain age information unavailable

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

other

(31%)

Domain Information

Within the application-focused generic top-level domain (.app), 'aloejsk839382.netlify.app' is registered and includes subdomain 'aloejsk839382'. The registrable portion 'netlify' spans 7 characters with 2 vowels and 5 consonants. Segmentation suggests 3 words: net, li, fy. Median word length comes out to two characters. 'neto' most strongly signals Esperanto. It also appears in Bosnian and Serbian contexts.

Screenshot

Security scan screenshot of https://aloejsk839382.netlify.app/

Page Load Overview

0.21s
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

other31% confidence
Type: static
Method: ml+structural

All Detected Categories

other
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
263.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
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
24--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E66162A9C41A203F6D97A81F13A4CA4D60297107DC9147D8FFEA53ACC2DBAF305C2438

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXG:nGHwyA2qlRYZJ3RoXIK+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3212:AAQAQARQIAEAACEBIACEICAAAIAAAQQJwAggRAAQACYAICEEgAAWABAAIQQQAAAgACAAAQgAAAAAAAEIsAgBAAAAAMQACECK

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:ffffe7e704040000
Color Hash:#6ce0a4

Other Hashes

Crop Resistant:0000080c0c080000

Scan History

Scan history not available

Unable to load historical scan data