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

Redirected to:
https://wonderful-alpaca-9820bc.netlify.app/
Submitted: Sep 6, 2026, 11:51:44 PMCompleted: Sep 6, 2026, 11:53:05 PMpubliccompleted

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

The domain name 'wonderful-alpaca-9820bc.netlify.app' uses 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 three words: net, li, fy. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.47s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:312 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software28% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
28%
documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
263.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1386160A9D41A203F6D93681F13A4CA4D60297607DC9247D8FFEA53ACD2DBAF305C2428

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXS:TGHwyA2qlRYZJ3RoXIO+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3227:CAAAAEAMQAAAGAAQAAACIgBQAFA0QAIFBCSA4QCgIACAAAAIAEiSEgQIQgAQKCAEIAUACEAEQAQAAAiAEAAAACAIAAAAAARA

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:b366cc9933649933
Difference Hash:0000080c0c080000
Wavelet Hash:f0f0e4e4e0e0f0f0
Color Hash:#6ce0e0

Other Hashes

Crop Resistant:0000080c0c080000

Scan History

Scan history not available

Unable to load historical scan data