Summary
This website contacted 118 IPs in 3 countries across 39 domains to perform 109 HTTP transactions. The main domain is gmercyu.edu and was registered NaN years ago.
Submitted URL: https://www.gmercyu.edu/academics/learn/how-to-become-a-teacher
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
How to Become a Teacher - Learn the Steps, Degrees & Requirements
Scan Type
public
Language
English
Category
education learning
(94%)Domain Information
You're looking at domain 'www.gmercyu.edu' on the sponsored educational top-level domain (.edu); it also runs on subdomain 'www'. The registrable portion 'gmercyu' spans 7 characters holding 2 vowels versus 5 consonants. Splitting it apart reveals three words: g, mercy, u. Median word length is 1 character. 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 |
|---|---|---|---|
| 109 | 2.23.245.35 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 18 | 216.59.63.49 | United States | AS53334TUT-AS |
| 10 | 172.64.147.188 | United States | AS13335CLOUDFLARENET |
| 7 | 52.222.136.28 | United States | AS16509AMAZON-02 |
| 6 | 146.75.120.84 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 5 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 35.190.43.134 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 151.101.193.229 | San Francisco, California, United States | AS54113FASTLY |
| 4 | 18.245.46.109 | United States | AS16509AMAZON-02 |
| 109 | 118 | - | - |
Detected Technologies1
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
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