Summary
This website contacted 119 IPs in 3 countries across 31 domains to perform 73 HTTP transactions. The main domain is browndailyherald.com and was registered NaN years ago.
Submitted URL: https://www.browndailyherald.com/article/2025/10/brown-university-rejects-trump-administration-compact
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate news article with no security concerns.
Safety Factors
Details
Page Title
Brown University rejects Trump administration compact - The Brown Daily Herald
Scan Type
public
Language
English
Category
education learning
(59%)Domain Information
The domain 'www.browndailyherald.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Count 16 characters in 'browndailyherald' holding five vowels versus 11 consonants. Word splitting yields three words: brown, daily, herald. Median word length is five characters. Most frequently, 'brown' shows up in Sinhala. You may catch it in English and Vietnamese as well. Taken together, it feels Sinhala.
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 |
|---|---|---|---|
| 73 | 13.32.118.94 | New York, New York, United States | AS16509AMAZON-02 |
| 0 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 0 | 142.250.181.232 | United States | AS15169GOOGLE |
| 0 | 142.250.186.67 | United States | AS15169GOOGLE |
| 0 | 18.172.112.68 | United States | AS16509AMAZON-02 |
| 0 | 64.233.184.154 | United States | AS15169GOOGLE |
| 0 | 146.75.122.217 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 0 | 23.32.238.211 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 172.64.147.188 | United States | AS13335CLOUDFLARENET |
| 0 | 23.32.238.210 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 73 | 119 | - | - |
Detected Technologies5
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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