Security Scan Report: rainbow-bunny-860d07.netlify.app

Redirected to:
https://rainbow-bunny-860d07.netlify.app/
Submitted: Aug 16, 2026, 8:51:07 PMCompleted: Aug 16, 2026, 8:53:01 PMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is rainbow-bunny-860d07.netlify.app and was registered 8 years ago.

Submitted URL: http://rainbow-bunny-860d07.netlify.app

Effective URL:

https://rainbow-bunny-860d07.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

You're looking at domain 'rainbow-bunny-860d07.netlify.app' on the application-focused generic top-level domain (.app) and includes subdomain 'rainbow-bunny-860d07'. The registrable portion 'netlify' spans 7 characters holding 2 vowels versus five consonants. Word splitting yields three words: net, li, fy. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://rainbow-bunny-860d07.netlify.app

Page Load Overview

0.85s
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

documentation technical28% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
28%
technology software
26%

Detected Features

No structural features detected

Domain & IP Information

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

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FD6161A9C41B203F6D97681F13A4CA4D60297207DD9147D8FFEA53ACD6DBAF305D2428

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXf:TGHwyA2qlRYZJ3RoXIr+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3227:CAAAAEAMQAAAGAAQAAACIgBQAFA0QAIFBCSA4QCgIACAAAAIAEiSEgQIQgAQKCAEIAUACEAEQAQAAAiAEAAQACAIAAAAAARA

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:b324cc9b33cc9933
Difference Hash:00000c0c0c080000
Wavelet Hash:f0f0e4e424243c3c
Color Hash:#c59d87

Other Hashes

Crop Resistant:00000c0c0c080000

Scan History

Scan history not available

Unable to load historical scan data