Security Scan Report: www.internationaldays.org

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Submitted: Completed: publiccompleted
This website contacted 12 IPs in 3 countries across 9 domains to perform 65 HTTP transactions. The main domain is internationaldays.org and was registered 5 years ago.

Submitted URL: https://www.internationaldays.org/may/world-bee-day

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

WORLD BEE DAY — INTERNATIONAL DAYSother network

Scan Type

public

Domain Name Analysis

Domain 'www.internationaldays.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. The core label 'internationaldays' covers 17 characters containing seven vowels alongside 10 consonants. Tokenizing the label suggests 2 words: international, days. Median word length comes out to 8.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.internationaldays.org/may/world-bee-day

Page Load Overview

N/A
Total Load Time
1.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:14,423 chars
Detector Agreement:75%

Website Classification

Primary Category

corporate50% confidence
Type: spa
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10146.75.120.237Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
534.160.236.44Kansas City, Missouri, United States
AS396982Google LLC
5192.178.170.95United States
AS15169Google LLC
5159.89.232.149North Bergen, New Jersey, United States
AS14061DigitalOcean, LLC
5146.75.120.238Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
552.111.243.44Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
523.56.207.178Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
552.111.243.45Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
5184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5142.251.110.94United States
AS15169Google LLC
012--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10DD4F92A99B4343A015F71B4D25A374D4673A313EAC14EE0F5AC49685FCAFD28D233AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:EqFaQz+mZlpUtJfsPjpq0V0DB0itHsBlIUNZf/VxrEJg/m:EqFa6a0V0lQu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:653735:YAAgCAkAAaEIIAJBQgQACEiAMAAACQCAQAAABAoCAgAAIkCAQARSABA5EEAAAaAKAAAAUUIYkEAAQBAQAAJCGEEEAoQIABCA

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:ffe767f7ffff8181
Perceptual Hash:bd936ddccc0c8331
Difference Hash:009cdc0614232727
Wavelet Hash:fec747c3e7818181
Color Hash:#2dd256

Other Hashes

Crop Resistant:009cdc0614232727

Scan History

Scan history not available

Unable to load historical scan data