Summary
This website contacted 29 IPs in 2 countries across 6 domains to perform 62 HTTP transactions. The main domain is havanatimes.org and was registered NaN years ago.
Submitted URL: https://havanatimes.org/news/international-news-briefs-for-friday-december-5-2025/
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
International News Briefs for Friday, December 5, 2025 - Havana Times
Scan Type
public
Language
English
Category
news/blog
(50%)Domain Information
Within the non-profit oriented generic top-level domain (.org), 'havanatimes.org' is registered. Its registrable label 'havanatimes' stretches across 11 characters holding 5 vowels versus 6 consonants. Segmentation suggests 2 words: havana, times. The median word length lands at 5.5 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 |
|---|---|---|---|
| 38 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 18 | 50.22.149.218 | Seattle, Washington, United States | AS36351SOFTLAYER |
| 6 | 79.127.216.203 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 3 | 216.239.32.36 | United States | AS15169GOOGLE |
| 2 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 2 | 142.250.184.200 | United States | AS15169GOOGLE |
| 2 | 67.228.192.94 | Seattle, Washington, United States | AS36351SOFTLAYER |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 2 | 2a02:6ea0:c77a::47 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 2 | 2a02:6ea0:c700::19 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 62 | 29 | - | - |
Detected Technologies10
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
Scan history not available
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