Summary
This website contacted 9 IPs in 1 country across 6 domains to perform 31 HTTP transactions. The main domain is app.getreferralmd.com and was registered NaN years ago.
Submitted URL: https://app.getreferralmd.com
Effective URL: https://app.getreferralmd.com/loginRedirected
The Cisco Umbrella rank of the primary domain is #896,192 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 80%
Login page appears legitimate but warrants caution due to low domain ranking.
Risk Factors
Safety Factors
Details
Page Title
ReferralMD Login
Scan Type
public
Language
English
Category
healthcare medical
(47%)Domain Information
Within the commercial generic top-level domain (.com), 'app.getreferralmd.com' is registered; it also runs on subdomain 'app'. The core label 'getreferralmd' covers 13 characters containing four vowels alongside 9 consonants. Segmentation suggests 3 words: get, referral, md. Expect three characters per word on average. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 7 | 142.251.38.67 | United States | AS15169GOOGLE |
| 3 | 34.224.55.27 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 216.58.209.164 | United States | AS15169GOOGLE |
| 3 | 142.251.38.74 | United States | AS15169GOOGLE |
| 3 | 35.174.217.99 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 3.216.232.109 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 52.71.179.202 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 216.58.210.170 | United States | AS15169GOOGLE |
| 3 | 44.207.29.95 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 31 | 9 | - | - |
Detected Technologies3
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
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