Summary
This website contacted 150 IPs in 4 countries across 37 domains to perform 99 HTTP transactions. The main domain is crummer.rollins.edu and was registered NaN years ago.
Submitted URL: https://crummer.rollins.edu/resources/how-to-become-a-cfo-5-steps-to-follow/
The Cisco Umbrella rank of the primary domain is #609,506 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate educational resource with no security concerns.
Safety Factors
Details
Page Title
Learn the key steps and strategies to become a successful CFO, from education to networking and specialized skills. - Rollins College - Crummer School of Business
Scan Type
public
Language
English
Category
education
(90%)Domain Information
Domain 'crummer.rollins.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'crummer'. Count 7 characters in 'rollins' with two vowels and five consonants. Tokenizing the label suggests 1 word: rollins. 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 |
|---|---|---|---|
| 99 | 54.72.26.174 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 18 | 4.156.134.72 | Washington, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 9 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 6 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 142.251.140.168 | United States | AS15169GOOGLE |
| 5 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 18.245.86.4 | United States | AS16509AMAZON-02 |
| 3 | 13.32.121.2 | New York, New York, United States | AS16509AMAZON-02 |
| 3 | 18.245.86.116 | United States | AS16509AMAZON-02 |
| 3 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 99 | 150 | - | - |
Page Statistics
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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