Security Scan Report: patient.pathapplication.com

Site favicon
Submitted: Dec 21, 2025, 8:56:54 PMCompleted: Dec 21, 2025, 9:00:00 PMpubliccompleted
Loading additional data...

Summary

This website contacted 4 IPs in 2 countries across 3 domains to perform 8 HTTP transactions. The main domain is patient.pathapplication.com and was registered NaN years ago.

Submitted URL: https://patient.pathapplication.com

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Site appears legitimate with no evident security threats.

Safety Factors
Established domain age
Unranked status mitigated by long registration period
No malicious Indicators of Compromise
No sensitive data collection
Domain age information unavailable

Details

Page Title

Rula Patient Portal

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'patient.pathapplication.com' uses the commercial generic top-level domain (.com), featuring subdomain 'patient'. The registrable portion 'pathapplication' spans 15 characters containing six vowels alongside nine consonants. Splitting it apart reveals two words: path, application. Expect 7.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://patient.pathapplication.com

Page Load Overview

184.06s
Total Load Time
8
HTTP Requests
3
Domains
2.8 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:19 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
252.43.59.193Boardman, Oregon, United States
AS16509AMAZON-02
218.245.60.110United States
AS16509AMAZON-02
2146.75.121.55Frankfurt am Main, Hesse, Germany
AS54113FASTLY
252.88.140.206Boardman, Oregon, United States
AS16509AMAZON-02
84--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FA22F9A872B463F121079BF1E075E9763CD129F8D613C4A4C3EC0AA6DB81EDD8D5D894

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:fBVITZCxfUDnZa3wGexov4zxIiPJjpgIt1N9dPPXiMhe+mdB1nYiYP1fw:fBVgZCxkZYE2QTN9dP/iMc+kYfP1I

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10040:ECAWoWwlW2WADhMCsEEfECmCZAgBLsClFmqiEEQgSVDAEEEVyjc5lQABU7nwCoIIAQAScxMBFyBAPEIZaBbMgA0mBGCivmJC

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:3f7fffe7c3c3ffc3
Perceptual Hash:a58f2d8f219a70da
Difference Hash:c04800080e0e2096
Wavelet Hash:3c3cfce403030303
Color Hash:#ac6553

Other Hashes

Crop Resistant:c04800080e0e2096

Scan History

Scan history not available

Unable to load historical scan data