Security Scan Report: www.wakehealth.edu

Submitted: Nov 13, 2025, 6:46:32 AMCompleted: Nov 13, 2025, 6:47:46 AMpubliccompleted
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Summary

This website contacted 4 IPs in 0 countries across 1 domain to perform 2 HTTP transactions. The main domain is wakehealth.edu and was registered NaN years ago.

Submitted URL: https://www.wakehealth.edu/providers/c/jordan-miller-case

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate; the specific page is temporarily inaccessible.

Safety Factors
Official university health system domain
Long domain age (>14 years) indicating stability
No suspicious forms or data collection elements
No external malicious links or redirects
Domain age information unavailable

Details

Page Title

Jordan Miller Case, MD | Atrium Health Wake Forest Baptist

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

The domain name 'www.wakehealth.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'www'. The second-level label 'wakehealth' is 10 characters long split between 4 vowels and 6 consonants. Splitting it apart reveals two words: wake, health. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.wakehealth.edu/providers/c/jordan-miller-case

Page Load Overview

6.15s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
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:12,746 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: spa
Method: ml+structural

All Detected Categories

education
45%
forum
35%
healthcare medical
29%
social_media
25%

Detected Features

Search
Comments
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
213.107.213.44UnknownUnknown
013.107.246.44UnknownUnknown
02620:1ec:46::44UnknownUnknown
02620:1ec:bdf::44UnknownUnknown
24--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T189D3C763E5D030374227A1DBB9A1BB5B9AA1C04BD5554800F0FC875D4FE2EEA8D23A5F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:gm6DM47Wh3afyxDyB6OAOWtVP7x3BHeCuXggKfn2:gfj7WpsARtVPTeL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:141170:DiBJh+IyYNswGYuFAcAFBTiBlFIgmOEM6SCAAIKKgPBQRMFGAbI2kwIwEiGigBiGCgBwEgADIR5AghSDaFSm5zKCCkuMGgpC

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:0000ff9f9bff00fb
Perceptual Hash:bc164353bc16e369
Difference Hash:33333c3e334c6303
Wavelet Hash:0000ef9f99ff00fb
Color Hash:#7e1f93

Scan History

Scan history not available

Unable to load historical scan data