Summary
This website contacted 198 IPs in 6 countries across 61 domains to perform 292 HTTP transactions. The main domain is holidayscalendar.com and was registered 22 years ago.
Submitted URL: https://www.holidayscalendar.com/event/national-coming-out-day/
AI Security Verdict
Low Risk
Confidence: 85%
Site appears legitimate; only a standard login form is present, no immediate threats detected.
Risk Factors
Safety Factors
Details
Page Title
National Coming Out Day in 2025/2026 - When, Where, Why, How is Celebrated?
Scan Type
public
Language
English
Category
adult content
(48%)Domain Information
The domain 'www.holidayscalendar.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The registrable portion 'holidayscalendar' spans 16 characters with 6 vowels and 10 consonants. Splitting it apart reveals 2 words: holidays, calendar. Median word length is eight characters. 'holidays' is most common in English usage. Secondary signals appear in Chinese (Pinyin) and Danish. Net impression: English phrase.
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 |
|---|---|---|---|
| 95 | 34.253.48.201 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 43 | 172.67.74.162 | United States | AS13335CLOUDFLARENET |
| 12 | 3.76.255.35 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 12 | 104.18.26.193 | United States | AS13335CLOUDFLARENET |
| 12 | 35.227.252.103 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 11 | 130.61.225.139 | Frankfurt am Main, Hesse, Germany | AS31898ORACLE-BMC-31898 |
| 11 | 116.203.35.84 | Nuremberg, Bavaria, Germany | AS24940Hetzner Online GmbH |
| 10 | 57.129.85.132 | Frankfurt am Main, Hesse, Germany | AS16276OVH SAS |
| 10 | 13.33.187.117 | New York, New York, United States | AS16509AMAZON-02 |
| 10 | 18.157.230.4 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 292 | 198 | - | - |
Page Statistics
Detected Technologies18
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
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