Summary
API
Submitted URL: https://www.whoi.edu/ocean-learning-hub/ocean-topics/ocean-human-lives/underwater-archaeology/rms-titanic/history-of-rms-titanic/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors (3)
Details
Page Title
History of RMS Titanic - Woods Hole Oceanographic Institutionother network
Scan Type
public
Domain Name Analysis
You're looking at domain 'www.whoi.edu' on the sponsored educational top-level domain (.edu) and includes subdomain 'www'. Count 4 characters in 'whoi' containing 2 vowels alongside two consonants. Word splitting yields two words: who, i. Expect 2 characters per word on average. The linguistic tilt is Chinese (Pinyin) for 'who'. You may catch it in English and Bosnian as well.
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 |
|---|---|---|---|
| 9 | 143.204.98.72 | United States | AS16509AMAZON-02 |
| 2 | 104.16.5.65 | United States | AS13335CLOUDFLARENET |
| 2 | 104.18.40.68 | United States | AS13335CLOUDFLARENET |
| 2 | 104.18.80.204 | United States | AS13335CLOUDFLARENET |
| 2 | 63.34.205.80 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 2 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 128.128.236.17 | Woods Hole, Massachusetts, United States | AS11499WHOI-WOODSHOLE |
| 2 | 66.102.1.84 | United States | AS15169GOOGLE |
| 2 | 3.124.210.133 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 2 | 142.250.184.195 | United States | AS15169GOOGLE |
| 171 | 82 | - | - |
Detected Technologies19
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