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

Redirected to:
https://wonderful-alpaca-9820bc.netlify.app/
Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

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

Effective URL:
https://wonderful-alpaca-9820bc.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.

Security Verdict: High Risk

Details

Page Title

Site not foundother network

Scan Type

public

Domain Name Analysis

The domain 'wonderful-alpaca-9820bc.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'wonderful-alpaca-9820bc'. Count 7 characters in 'netlify' holding two vowels versus five consonants. Breaking it apart gives three words: net, li, fy. The median word length lands at two 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 “page...

Page Load Overview

0.89s
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 technical48% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
48%
technology software
47%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
363.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
31--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15EE1545A9347722BAC4F5C1E43F5B6CEA0569107C8D202D4BBED836862D75F352D642C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TGmwyA2qlRp7rqGyEtZJ3RoXIbR5CDoX3rZVnIxMvfwDo+MXiyko:amwyA2q57rJPoXvDoXbZV8MMo+Myo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7370:EWAJhoCAgIBQCBAITtJsEsAQBJImhFGSYoQViAeQJTkAmYFwAmSTBEARCBFCNAEFEJPVFhERIDLgEAwDASEJAQAgcMgCSSaB

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:b399cc6433363399
Difference Hash:0000080c0c0c0000
Wavelet Hash:f0f0e0e024243c3c
Color Hash:N/A

Other Hashes

Crop Resistant:0000080c0c0c0000

Scan History

Scan history not available

Unable to load historical scan data