Security Scan Report: enews.wvu.edu

Site favicon
Submitted: Nov 22, 2025, 9:49:57 AMCompleted: Nov 22, 2025, 9:51:32 AMpubliccompleted
Loading additional data...

Summary

This website contacted 78 IPs in 4 countries across 31 domains to perform 72 HTTP transactions. The main domain is enews.wvu.edu and was registered NaN years ago.

Submitted URL: https://enews.wvu.edu/articles/2025/11/21/ai-doesn-t-threaten-humanity-its-owners-do

The Cisco Umbrella rank of the primary domain is #109,047 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Domain age over 30 years (well‑established)
Official university subdomain (enews.wvu.edu)
No malicious Indicators of Compromise matches found
No credential or payment forms present
Cisco Umbrella ranking within top 1 M
Domain age information unavailable

Details

Page Title

Jones: AI doesn’t threaten humanity, its owners do | E-News | West Virginia University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(91%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'enews.wvu.edu' is registered, featuring subdomain 'enews'. The core label 'wvu' covers 3 characters split between one vowel and two consonants. Segmentation suggests 2 words: wv, u. Average segment length settles at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://enews.wvu.edu/articles/2025/11/21/ai-doesn-t-threaten-humanity-its-owners-do

Page Load Overview

0.77s
Total Load Time
72
HTTP Requests
31
Domains
1.2 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:1,212 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network91% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
91%
healthcare medical
58%
education
45%
government public service
44%
news media journalism
29%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
813.226.244.5United States
AS16509AMAZON-02
7142.251.140.168United States
AS15169GOOGLE
5104.16.41.28United States
AS13335CLOUDFLARENET
534.193.109.242Ashburn, Virginia, United States
AS14618AMAZON-AES
552.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
535.190.43.134United States
AS396982GOOGLE-CLOUD-PLATFORM
5172.217.18.14United States
AS15169GOOGLE
434.49.192.216Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3216.239.32.36United States
AS15169GOOGLE
3150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
7278--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T177435C967CF6A873426340E6E4B6E249F5621C27E94C9C60F6DC499C3FC1ECA45A393C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:B0W87yDp0Dpn3Cc16KhZVev8H/TlBIV9OrIV9OsIV9OrIV9OVMb2:m5yDp0DpSc16KEu2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:60158:cAewMajAACuCIykfYgFAWQIgMSFbAgVCYXACdkB0jbDCAp6IllYAZ5E4imIYoBDAprIRQxEguGgKQWJUoYFCQENKPMQCoKJE

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:0000df9fffffffff
Perceptual Hash:bc3613430e1e3ee3
Difference Hash:cd0c363302023233
Wavelet Hash:00008391f1fbffdd
Color Hash:#b587c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data