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

Redirected to:
https://wonderful-alpaca-9820bc.netlify.app/
Submitted: Sep 30, 2026, 11:52:48 AMCompleted: Sep 30, 2026, 11:53:24 AMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is wonderful-alpaca-9820bc.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.

Details

Page Title

Site not foundsecondary capture

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'wonderful-alpaca-9820bc.netlify.app' is registered; it also runs on subdomain 'wonderful-alpaca-9820bc'. The core label 'netlify' covers 7 characters with two vowels and five consonants. It segments into 3 words: net, li, fy. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://wonderful-alpaca-9820bc.netlify.app

Page Load Overview

0.41s
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
45%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
32--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8E1536A9347722BAC4F5C1E43F5B6CEA066A107C8D202D4BBED836862D75F352D643C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TGmwyA2qlRp7rqGyEtZJ3RoXIA5CDoX3rZVnIxMvfwDo+MXiyko:amwyA2q57rJPoXKDoXbZV8MMo+Myo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7370:EWAJhoCAgIBQCBAITtJsEsAQBJImhFGSYoQViAeQJTkAmYFwAmSTBEARSBFCNAEFEJPVFhERIDLgEAwDASEJAQAgcMgCSSaB

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:3030202027273f3f
Color Hash:#785b3a

Other Hashes

Crop Resistant:0000080c0c0c0000

Scan History

Scan history not available

Unable to load historical scan data