Summary
This website contacted 46 IPs in 2 countries across 16 domains to perform 57 HTTP transactions. The main domain is hir.harvard.edu and was registered NaN years ago.
Submitted URL: https://hir.harvard.edu/breaking-gender-barriers-an-interview-with-nobel-peace-prize-laureate-malala-yousafzai/
The Cisco Umbrella rank of the primary domain is #23,419 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site is a legitimate Harvard page with no security concerns.
Safety Factors
Details
Page Title
Breaking Gender Barriers: An Interview with Nobel Peace Prize Laureate Malala Yousafzai
Scan Type
public
Language
English
Category
education learning
(81%)Domain Information
You're looking at domain 'hir.harvard.edu' on the sponsored educational top-level domain (.edu) and includes subdomain 'hir'. Its registrable label 'harvard' stretches across 7 characters containing two vowels alongside 5 consonants. Word splitting yields 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 |
|---|---|---|---|
| 1 | 142.250.184.200 | United States | AS15169GOOGLE |
| 1 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 1 | 142.251.140.161 | United States | AS15169GOOGLE |
| 1 | 52.38.82.89 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 142.250.185.99 | United States | AS15169GOOGLE |
| 1 | 134.209.72.237 | North Bergen, New Jersey, United States | AS14061DIGITALOCEAN-ASN |
| 1 | 216.239.34.36 | United States | AS15169GOOGLE |
| 1 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 1 | 146.75.122.208 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 57 | 46 | - | - |
Detected Technologies11
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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