Security Scan Report: uvahealth.com

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Submitted: Oct 14, 2025, 1:35:37 AMCompleted: Oct 14, 2025, 1:38:50 AMpubliccompleted
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Summary

This website contacted 89 IPs in 4 countries across 21 domains to perform 119 HTTP transactions. The main domain is uvahealth.com and was registered NaN years ago.

Submitted URL: https://uvahealth.com/findadoctor/Amy-Brown-1902064330

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate UVA Health provider page with no security concerns.

Safety Factors
Official university health system domain (uvahealth.com)
Established domain age and registration date (2003‑11‑18)
Page contains only informational and scheduling content
Domain age information unavailable

Details

Page Title

Amy Brown, MD | Pediatrics | UVA Children's

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(46%)

Domain Information

You're looking at domain 'uvahealth.com' on the commercial generic top-level domain (.com) without a subdomain. The second-level label 'uvahealth' is 9 characters long split between 4 vowels and 5 consonants. Segmentation suggests two words: uva, health. The median word length lands at 4.5 characters. The linguistic tilt is Italian for 'uva'. Usage also turns up in Portuguese and Portuguese (Brazil) contexts.

Screenshot

Security scan screenshot of https://uvahealth.com/findadoctor/Amy-Brown-1902064330

Page Load Overview

1.54s
Total Load Time
119
HTTP Requests
21
Domains
1.7 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:5,415 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical46% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
46%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7423.50.131.152Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
31142.250.186.35United States
AS15169GOOGLE
63.217.83.77Ashburn, Virginia, United States
AS14618AMAZON-AES
6216.239.32.36United States
AS15169GOOGLE
5142.250.184.232United States
AS15169GOOGLE
4142.250.186.106United States
AS15169GOOGLE
3142.250.186.163United States
AS15169GOOGLE
218.245.31.118United States
AS16509AMAZON-02
2150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
245.60.233.26United States
AS19551INCAPSULA
11989--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C0830861A8E0A831429F45C49973751862B6D35BE20948C4F9AE4FF44FDFE6CDE3720A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:WIw8TXCdumI7q7qSAqfeprwfJFXLNM520lsI96xpQscyHJWUrm1kLA7lM+jYEYql:m8TIxI7q7qSAqmpcIFUrFA73

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:87023:kDRhkJYNBMAsByoBQ4GlLYRQGBCAL1NJIaiOACcITyAkIBIQEBjMAIAk0SGJi4ADEoGEEQMKNmJpWSAtG0CAWQJQAoYSQ1sY

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:00fffbfbffffff00
Perceptual Hash:adcd3692129e6d25
Difference Hash:6c2232726a203a8a
Wavelet Hash:00928a9bbfff9f00
Color Hash:#2d8646

Scan History

Scan history not available

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