Security Scan Report: www.wm.edu

Site favicon
Submitted: Oct 10, 2025, 1:47:18 PMCompleted: Oct 10, 2025, 1:50:26 PMpubliccompleted
Loading additional data...

Summary

This website contacted 105 IPs in 3 countries across 21 domains to perform 91 HTTP transactions. The main domain is wm.edu and was registered NaN years ago.

Submitted URL: https://www.wm.edu/peopleofwm/cultural-icons/close-g/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate university page with no security concerns.

Safety Factors
Long‑standing domain registration
Educational institution with reputable hosting
Only standard search form present
Domain age information unavailable

Details

Page Title

Glenn Close ’74, D.A. ’89, H.F. ’19 | Glenn Close | Cultural Icons | William & Mary

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

The domain name 'www.wm.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'www'. Count 2 characters in 'wm' holding zero vowels versus two consonants. Segmentation suggests one word: wm. Median word length is 2 characters. The linguistic tilt is German for 'wm'. Usage also turns up in Vietnamese contexts. Overall, 'www.wm.edu' reads as German with single-word simplicity.

Screenshot

Security scan screenshot of https://www.wm.edu/peopleofwm/cultural-icons/close-g/

Page Load Overview

1.61s
Total Load Time
91
HTTP Requests
21
Domains
3.2 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:3,632 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: static
Method: structural

All Detected Categories

education
90%
forum
40%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
91142.250.185.131United States
AS15169GOOGLE
1852.222.136.97United States
AS16509AMAZON-02
1799.84.152.8United States
AS16509AMAZON-02
11104.18.40.68United States
AS13335CLOUDFLARENET
8216.58.206.40United States
AS15169GOOGLE
6216.239.34.36United States
AS15169GOOGLE
535.190.43.134United States
AS396982GOOGLE-CLOUD-PLATFORM
3216.239.32.36United States
AS15169GOOGLE
3142.250.186.132United States
AS15169GOOGLE
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
91105--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5D2D7727544023F02735BD8B5317799F1B38214DEA52562FAFD839E23CBE92AA4D00E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:MHg3eNlR8PCuN75imXw6sx0yMN7GzknPLOjJo+zTFOo:v3eNW7MewBx0LzPa9o+/d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28569:vJLpLKgmaCGABFyLCMCIGiyMMpEGGCLAQtREAoSYMrIKAixC0SJcDgIN0zh4kAIIbKUqwCBFAXAlwxlYjNBCFU/51hGAMQVY

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:fef1f171000000ff
Perceptual Hash:edd5965594459551
Difference Hash:26c3c2c2c6d2c325
Wavelet Hash:fef3f1f1200000ff
Color Hash:#783a4c

Scan History

Scan history not available

Unable to load historical scan data