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Security Scan Report: days.to

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/c100d0b3-91ef-4337-9dcc-79f08b9e634cDomain and IP registration (RDAP)/api/v1/rdap/c100d0b3-91ef-4337-9dcc-79f08b9e634cHow often this domain was scanned/api/v1/domain/stats/days.toScan history for this domain/api/v1/domain/history/days.to?limit=15
This website contacted 56 IPs in 4 countries across 15 domains to perform 39 HTTP transactions. The main domain is days.to and was registered 15 years ago.

Submitted URL: https://days.to/when-is/martin-luther-king-jr-day/2026

The Cisco Umbrella rank of the primary domain is #506,217 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate informational page with no security concerns.

Safety Factors (3)
Well‑established domain
Informational content only
No collection of sensitive data
Domain age information unavailable

Details

Page Title

When is Martin Luther King Jr Day in 2026?

Scan Type

public

Domain Name Analysis

Domain 'days.to' uses the .to country-code top-level domain and has no subdomain. Its registrable label 'days' stretches across 4 characters with 1 vowel and three consonants. Tokenizing the label suggests 1 word: days. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://days.to/when-is/martin-luther-king-jr-day/2026

Page Load Overview

91.74s
Total Load Time
900 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,482 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network34% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
34%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
39216.58.206.74United States
AS15169GOOGLE
0172.67.74.125United States
AS13335CLOUDFLARENET
0142.250.185.162United States
AS15169GOOGLE
0216.239.34.36United States
AS15169GOOGLE
0142.250.184.194United States
AS15169GOOGLE
0142.250.185.227United States
AS15169GOOGLE
0104.17.25.14United States
AS13335CLOUDFLARENET
018.66.102.121United States
AS16509AMAZON-02
0104.26.2.149United States
AS13335CLOUDFLARENET
0216.58.206.72United States
AS15169GOOGLE
3956--

Detected Technologies10

OpenSearch
100%
Open-Graph-Protocol
100%
JQueryv3.1.1
100%
Google-AnalyticsvUniversal
100%
Bootstrapv3.3.7
100%
Cloudflare Bot Management
55%
HTTP/3
40%
HSTS
40%
Cloudflare
40%
Ghost
15%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E7A2C5127CF0592A122355D69DB1BF582ED2A11BD349C94071ED09BE1FC4FEA0C4BABC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:U/+VBb75vYhBb1QdG+tyKyVzOyaGDnx/WlY9TV:44bFYhJudZtylz1aGbx/WlY9x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21319:C0J4RK0DyIqsMzggnaCQABi140sKgFEspBKg2QEEKDohAhWFSogAIxEJKgJRM1QKMAgQeEtAVJeE8apqBpIwWEZwQGFDIAM4

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:01183c003c1c3c1c
Perceptual Hash:89272b892b2f279b
Difference Hash:03f0ccc771717131
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data