Security Scan Report: www.wikidates.org

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Submitted: Dec 8, 2025, 9:09:14 PMCompleted: Dec 8, 2025, 9:10:37 PMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 8 domains to perform 31 HTTP transactions. The main domain is wikidates.org and was registered NaN years ago.

Submitted URL: https://www.wikidates.org/federal-holidays/martin-luther-king-day-2026.html

The Cisco Umbrella rank of the primary domain is #230,545 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Well‑established domain
No forms collecting sensitive data
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Martin Luther King Day 2026 | WikiDates.org

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(29%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'www.wikidates.org' is registered and includes subdomain 'www'. Its registrable label 'wikidates' stretches across 9 characters with 4 vowels and 5 consonants. Splitting it apart reveals 2 words: wiki, dates. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.wikidates.org/federal-holidays/martin-luther-king-day-2026.html

Page Load Overview

20.95s
Total Load Time
31
HTTP Requests
8
Domains
844 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:64,493 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content29% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
29%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15216.58.209.202United States
AS15169GOOGLE
1216.58.210.131United States
AS15169GOOGLE
1216.58.210.168United States
AS15169GOOGLE
1216.239.32.36United States
AS15169GOOGLE
1216.58.209.193United States
AS15169GOOGLE
1216.58.210.130United States
AS15169GOOGLE
1104.236.135.232San Francisco, California, United States
AS14061DIGITALOCEAN-ASN
1216.58.209.206United States
AS15169GOOGLE
12001:4860:4802:32::36United States
AS15169GOOGLE
12a00:1450:4026:803::2003Ireland
AS15169GOOGLE
3117--

Detected Technologies2

100%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T125A45131F840192F6B3F45C4A74AD70AB1D6A31FF4E90810D5DA07688AE9E78F51E2E7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:GrXOHUh3BAYHyRce02Nd9PPplAzbTnd3hiaKfXFG0nxUerm0Osute0J1Q/RihTVL:GrXGYHQ8hiBmnMKEY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:483506:QB0/MGAoUMPqEJGQsAACAAOvTQlIkQQZEk1NsiFCCMYVAQzzBtrCRA6EgKzoRAECHokBMwQwAAVqSkBAEMymVmESISBhAABe

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:003c3c1c3c3c3c3c
Perceptual Hash:9a1a6747381acdcb
Difference Hash:6d6971b1f1716968
Wavelet Hash:043c3c1c3c3c3cff
Color Hash:#ac5397

Other Hashes

Scan History

Scan history not available

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