Summary
This website contacted 46 IPs in 2 countries across 16 domains to perform 53 HTTP transactions. The main domain is urmc.rochester.edu and was registered NaN years ago.
Submitted URL: https://www.urmc.rochester.edu/strong-fertility-center/services/infertility/infertility-treatment-options/ivf/ivf-step-by-step
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
IVF Step-by-step | UR Medicine
Scan Type
public
Language
English
Category
healthcare medical
(78%)Domain Information
Domain 'www.urmc.rochester.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'www.urmc'. Count 9 characters in 'rochester' holding 3 vowels versus six consonants. Segmentation suggests 1 word: rochester. Expect nine characters per word on average. The linguistic tilt is Vietnamese for 'rochester'. It also appears in Bengali and Bosnian contexts.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 8 | 142.250.186.74 | United States | AS15169GOOGLE |
| 1 | 34.96.112.9 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 99.84.152.52 | United States | AS16509AMAZON-02 |
| 1 | 52.6.53.6 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 34.226.129.80 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 207.244.67.234 | Manassas, Virginia, United States | AS30633LEASEWEB-USA-WDC |
| 1 | 99.84.152.92 | United States | AS16509AMAZON-02 |
| 1 | 128.151.156.30 | Rochester, New York, United States | AS20UR |
| 1 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 1 | 99.84.152.82 | United States | AS16509AMAZON-02 |
| 53 | 46 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data