Security Scan Report: www.littledayout.com

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Submitted: Completed: publiccompleted
This website contacted 35 IPs in 3 countries across 25 domains to perform 150 HTTP transactions. The main domain is littledayout.com and was registered 14 years ago.

Submitted URL: https://www.littledayout.com/google-interland-learn-to-be-internet-awesome-through-an-online-adventure/

The Cisco Umbrella rank of the primary domain is #580,763 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Established Singapore parenting blog publishing an article about Google Interland; article-type content, self-branded, no credential or payment forms, and no threat-intel or malware findings.

Safety Factors (6)
14-year-old well-established domain
Article/news content type with author attribution
Self-branding consistent with the domain
No credential, email or payment collection
No Indicators of Compromise, YARA or IDS hits
Cross-origin requests are standard ad/analytics/CDN providers (DoubleClick, Mediavine, Mailchimp)
Domain age information unavailable

Details

Page Title

Google Interland: Learn To Be Internet Awesome Through An Online Adventure - Little Day Out

Scan Type

public

Domain Name Analysis

Domain 'www.littledayout.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Count 12 characters in 'littledayout' with 5 vowels and seven consonants. It segments into 3 words: little, day, out. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.littledayout.com/google-interland-learn-to-be-internet-awesome-through-an-online-adventure/

Page Load Overview

7.11s
Total Load Time
2.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-GB
Text Length:6,247 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning61% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
61%
technology software
37%
news/blog
35%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14203.175.168.229Singapore, Singapore
AS135437HostSG
4146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
4104.18.22.19Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4146.75.122.132Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
418.194.227.82Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
4142.251.14.157Google · CDNUnited States
AS15169Google LLC
494.237.89.114Frankfurt am Main, Hesse, Germany
AS202053UpCloud Ltd
479.127.211.89Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
4146.75.122.49Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
4212.102.56.179Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
15035--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BE841B331DA4647A56334385E4ACF7489786B143DFC949C8F66ECA5C4BC1BA2E2B3394

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:CIwbqH7mPxJts+EfgqCkyz4q4Cstfzysa47SR3tgEKGdpsJKdtwNtBhI:CIwbDtsBfgqCkyEqfstfOswSLhI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:376173:AFOl6ADIilIc5VUF9RXBAgrgIEosAkgJBGNqkYFDFQCmBIERIEwIAoAilIFMgBoBsrAiASQSRACsQ1EIkAylON6jCuoLggWU

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:00dfffff9f9781d9
Perceptual Hash:ac13613c5b69d669
Difference Hash:b236283b21263313
Wavelet Hash:00c7bf9d9f9381c1
Color Hash:#40acbf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data