ScanMalware.com

Security Scan Report: www.global-agriculture.com

Submitted: May 20, 2026, 1:26:06 PMCompleted: May 20, 2026, 1:29:05 PMpubliccompleted

Summary

This website contacted 13 IPs in 3 countries across 16 domains to perform 68 HTTP transactions. The main domain is global-agriculture.com and was registered 2 years 5 months ago.

Submitted URL: https://www.global-agriculture.com/global-agriculture/world-bee-day-2026-why-bees-matter-for-global-food-security-and-biodiversity/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site appears legitimate with low risk; no phishing or malware indicators were found.

Risk Factors
Domain is unranked in Cisco Umbrella (not in top 1 M) – low reputation
Safety Factors
Established domain age (>2 years)
No credential or payment fields in forms
Self‑branding matches the domain (no impersonation)
No Indicators of Compromise or malware detections
Content type is a legitimate news article
Domain age information unavailable

Details

Page Title

World Bee Day 2026: Why Bees Matter for Global Food Security and Biodiversity

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(100%)

Domain Information

The domain name 'www.global-agriculture.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The second-level label 'global-agriculture' is 18 characters long containing 7 vowels alongside ten consonants, along with 1 hyphen. Breaking it apart gives two words: global, agriculture. Average segment length settles at 8.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of cdn.datatables.net

Page Load Overview

90.14s
Total Load Time
94
HTTP Requests
16
Domains
2.4 MB
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:17,098 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog100% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
100%
corporate
70%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10151.101.129.229United States
AS54113Fastly, Inc.
7142.251.151.119United States
AS15169Google LLC
723.53.42.160Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7142.251.14.94United States
AS15169Google LLC
723.67.132.85Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
7172.217.208.95United States
AS15169Google LLC
7104.17.24.14United States
AS13335Cloudflare, Inc.
7184.168.114.68Singapore, Singapore
AS26496GoDaddy.com, LLC
7142.251.13.97United States
AS15169Google LLC
7104.26.8.123United States
AS13335Cloudflare, Inc.
9413--

Page Statistics

94
Requests
14
Unique Domains
2.6 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16A443B73C16C34BB2623C7BDD8A4B76CB62F40AFD91846E1B0ED40685385DEF0E65526

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:8sOxpPk2W99f29JXS2jFrx9vgxWSMsKAy+ZR/FJ402ClJekjl3xizzI//uhXJVG2:8HxEfcJXSNMsKAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:267053:CMDpIGcEDEEBCRmSLYVKJUZ01VGAQwACcBlDkADXIBwaBiMQpBAEBUCdRiXBV3IAAwtiDh4I6BCAV0AUABCCBgIwJAkAlTrM

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:ff81c3c78787fffb
Perceptual Hash:bc32c996f3c3cc84
Difference Hash:20332f0f0d2d3633
Wavelet Hash:9f8183878787db83
Color Hash:#d2b979

Other Hashes

Crop Resistant:20332f0f0d2d3633,0180413458514181,e0808909053260d4

Scan History

Scan history not available

Unable to load historical scan data