Security Scan Report: nationaldaycalendar.com

Submitted: Jan 5, 2026, 6:00:30 PMCompleted: Jan 5, 2026, 6:01:51 PMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 5 domains to perform 8 HTTP transactions. The main domain is nationaldaycalendar.com.

Submitted URL: https://nationaldaycalendar.com

The Cisco Umbrella rank of the primary domain is #103,831 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

nationaldaycalendar.com

Scan Type

public

Language

🇮🇹

Italian

(29% confidence)

Category

technology software

(74%)

Domain Information

You're looking at domain 'nationaldaycalendar.com' on the commercial generic top-level domain (.com) and has no subdomain. The second-level label 'nationaldaycalendar' is 19 characters long with 8 vowels and 11 consonants. It segments into 3 words: national, day, calendar. Expect 8 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nationaldaycalendar.com

Page Load Overview

0.20s
Total Load Time
8
HTTP Requests
5
Domains
31 KB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:29%
Script Type:Latin
HTML Lang Attribute:en
Text Length:23 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as it

Website Classification

Primary Category

technology software74% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
74%
documentation technical
66%
real estate property
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1151.101.66.98United States
AS54113FASTLY
118.66.147.28United States
AS16509AMAZON-02
13.78.137.250Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1151.101.194.98United States
AS54113FASTLY
1151.101.2.98United States
AS54113FASTLY
118.66.147.8United States
AS16509AMAZON-02
86--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16C31657B9C95C53C5D2203A2B0A4E49D09251E82F6C258D2B1E87F5EE8C7EFA5C006A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:nKIBJHtV8doDblCZ5dNRDmJazeF8GnOIeEOl2RV3bJnFkBGnOIeEID9zezbRv5wq:nKIXX8q05lm8zeiKeH2fJiBKeEID9zq1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1500:AQEAIAAAACAEABBAAAAAAAEAAAAAQQAAAAAAiAYAAAAAAoAAAAIAEAAAAACAACAAAAAAAAACAAICAEAABIAACAwggAAEAAAC

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

Average Hash:ffe7ff0000cfffff
Perceptual Hash:b3a6cc3333cccc31
Difference Hash:0808001858100000
Wavelet Hash:fbe3ff000000cfcf
Color Hash:#d279b5

Other Hashes

Crop Resistant:0808001858100000

Scan History

Scan history not available

Unable to load historical scan data