Security Scan Report: wonderful-alpaca-9820bc.netlify.app

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: https://wonderful-alpaca-9820bc.netlify.app/

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.

Security Verdict: High Risk

Details

Page Title

Site not foundother network

Scan Type

public

Domain Name Analysis

You're looking at domain 'wonderful-alpaca-9820bc.netlify.app' on the application-focused generic top-level domain (.app), featuring subdomain 'wonderful-alpaca-9820bc'. The core label 'netlify' covers 7 characters holding 2 vowels versus five consonants. Splitting it apart reveals 3 words: net, li, fy. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Site not found Looks like you followed a broken link or entered a URL that doesn’t exist on Netlify. If this is your site, and you weren't expecting a 404 for this path, please visit Netlify’s “pag...

Page Load Overview

5.70s
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 technical47% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
47%
technology software
46%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
22--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14AF1745A9347722BAC4F5C2E43F5B6DEE056A107C8E201D4BBED836862C76F312D652C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TGmwyA2qlRp7rqGyEtZJ3RoXIR9CDoX3rZVnIxMvfwDo+MXiykA:amwyA2q57rJPoXXDoXbZV8MMo+MyA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7520:EYggaCAEihEw8VGQ4gm961kQ8IDQFCNKDQDCnQhcsUgIIgGghjKKgEgZIyACJSAYAKBAJSTASArhQsDAAhAhSKKDAN0JesCn

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:b399cc2633cc3399
Difference Hash:00000c0c0c0c0000
Wavelet Hash:f3f3e3e324240c0c
Color Hash:N/A

Other Hashes

Crop Resistant:00000c0c0c0c0000

Scan History

Scan history not available

Unable to load historical scan data