Summary
API
Submitted URL: https://chaplains.harvard.edu/people/greg-epstein
The Cisco Umbrella rank of the primary domain is #23,419 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
Official Harvard University chaplaincy profile page on harvard.edu with no credential or payment forms, no impersonation, and no threat-intel, YARA or IDS hits. Legitimate.
Safety Factors (5)
Details
Page Title
Greg Epstein | Harvard Chaplains
Scan Type
public
Domain Name Analysis
Within the sponsored educational top-level domain (.edu), 'chaplains.harvard.edu' is registered; it also runs on subdomain 'chaplains'. The core label 'harvard' covers 7 characters with two vowels and five consonants. Tokenizing the label suggests one word: harvard. The median word length lands at 7 characters. 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 |
|---|---|---|---|
| 22 | 184.24.77.189Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 184.24.77.70Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 142.250.154.95Google · CDN | United States | AS15169Google LLC |
| 2 | 188.114.97.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 104.17.25.14Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 142.251.110.97Google · CDN | United States | AS15169Google LLC |
| 2 | 23.36.156.195Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 2 | 142.251.153.4Google · CDN | United States | AS15169Google LLC |
| 2 | 142.251.13.94Google · CDN | United States | AS15169Google LLC |
| 2 | 63.186.76.28Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 80 | 30 | - | - |
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