Security Scan Report: beamish-banoffee-6346d6.netlify.app

Submitted: Jul 22, 2026, 1:50:08 AMCompleted: Jul 22, 2026, 1:51:29 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is beamish-banoffee-6346d6.netlify.app and was registered NaN years ago.

Submitted URL: https://beamish-banoffee-6346d6.netlify.app//pr.html

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 found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'beamish-banoffee-6346d6.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'beamish-banoffee-6346d6'. The core label 'netlify' covers 7 characters holding 2 vowels versus five consonants. Breaking it apart gives 3 words: net, li, fy. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://beamish-banoffee-6346d6.netlify.app//pr.html

Page Load Overview

0.30s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:312 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

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.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11B6172A9C41A203F6D97681F13A4CA4D60297247DC9147D8FFEA53ACC6DBAF305C2438

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXe:TGHwyA2qlRYZJ3RoXI2x+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3227:CAAAAEQMQAAAGAAQAAACIgBQAFA0QAIFBCSA4QCgIACAAAAIAEiSEgQIQgAQKCAEIAUACEAEQAQAAAiIEAAAACAIIAAAAARA

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:b324cc9b336c9933
Difference Hash:00000c0c0c080000
Wavelet Hash:f0f0e4e407070f0f
Color Hash:#c587a5

Other Hashes

Crop Resistant:00000c0c0c080000

Scan History

Scan history not available

Unable to load historical scan data