Security Scan Report: publichealth.gmu.edu

Submitted: Apr 30, 2026, 5:23:28 PMCompleted: Apr 30, 2026, 5:25:04 PMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 7 domains to perform 2 HTTP transactions. The main domain is publichealth.gmu.edu and was registered NaN years ago.

Submitted URL: https://publichealth.gmu.edu/news/2025-06/international-study-reveals-glyphosate-weed-killers-cause-multiple-types-cancer

The Cisco Umbrella rank of the primary domain is #95,861 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site is a legitimate, long‑standing university subdomain with no malicious indicators.

Safety Factors
Established institutional subdomain (gmu.edu)
Consistent branding between meta tags and domain
No malicious JavaScript or network alerts detected
Domain age information unavailable

Details

Page Title

International Study Reveals Glyphosate Weed Killers Cause Multiple Types of Cancer | College of Public Health

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(72%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'publichealth.gmu.edu' is registered and includes subdomain 'publichealth'. Count 3 characters in 'gmu' containing 1 vowel alongside 2 consonants. Breaking it apart gives two words: g, mu. The median word length lands at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://publichealth.gmu.edu/news/2025-06/international-study-reveals-glyphosate-weed-killers-cause-multiple-types-cancer

Page Load Overview

3.55s
Total Load Time
64
HTTP Requests
15
Domains
4.2 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:11,144 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical72% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
72%
government public service
51%
education
45%
education learning
42%
news
15%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10172.64.151.166United States
AS13335Cloudflare, Inc.
9104.17.25.14United States
AS13335Cloudflare, Inc.
9142.251.14.94United States
AS15169Google LLC
9192.124.249.120Menifee, California, United States
AS30148Sucuri
9142.251.20.95United States
AS15169Google LLC
9104.18.0.22United States
AS13335Cloudflare, Inc.
9142.251.14.97United States
AS15169Google LLC
647--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F7B31912E3F42235001B43825659733CEA27A1DBE805188DB1FE071DEFA6FA85A5775F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ak10I6WUR8vf8lasFwtdHDednkxEB3qBwbNuU13d2U:ZfIRkE6SYuZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:117076:yw5QAEAACJJAVZAISIITUCeTJRgiWoOCAAxgUgflhoYEFgFCiYAZBAHjAqgq4hpGqDKRkBEAAB8cqhgAAjkkCa8gSJAJB6BO

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:ff000000ffffffff
Perceptual Hash:a51cc3d7d8252d3c
Difference Hash:c0d44733330f0f0b
Wavelet Hash:7f0000008fe3efff
Color Hash:#3a7850

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data