Security Scan Report: anetima.pages.dev

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Submitted: Sep 21, 2026, 4:47:17 AMCompleted: Sep 21, 2026, 4:49:14 AMpubliccompleted

This website contacted 29 IPs in 4 countries across 23 domains to perform 39 HTTP transactions. The main domain is anetima.pages.dev and was registered 17 years ago.

Submitted URL: https://anetima.pages.dev/posts/engelbert-humperdinck-songs-list/

AI Security Verdict

Low Risk

Confidence: 62%

2
Risk Score

Self-branded Hugo blog listing Engelbert Humperdinck songs on a Cloudflare Pages subdomain. No credential/payment form, no impersonation, no Indicators of Compromise or malware — only thin, low-quality content. Low risk.

Risk Factors (3)
Unranked in Cisco Umbrella (weak prior only)
Hosted on a free Cloudflare Pages subdomain whose actual page creation date is unknown
Article content appears auto-generated/scraped with unrelated recent-post titles (thin content, possible SEO spam)
Safety Factors (4)
No credential or payment form — search form only, submitting to google.com/search
No brand impersonation; site presents its own brand 'Matieda'
No Indicators of Compromise, no JavaScript malware patterns, no obfuscated JS with a network sink, no malicious redirects
Standard static Hugo blog (Hugo + Mainroad theme) with visible footer attribution
Domain age information unavailable

Details

Page Title

Engelbert Humperdinck Songs List - A british pop singer 1. - Matienda

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'anetima.pages.dev' is registered and includes subdomain 'anetima'. Count 5 characters in 'pages' containing 2 vowels alongside 3 consonants. Word splitting yields 1 word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://anetima.pages.dev/posts/engelbert-humperdinck-songs-list/

Page Load Overview

80.18s
Total Load Time
1.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,175 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
74%
social media network
50%
news media journalism
34%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11172.66.47.116Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.13.95Google · CDNUnited States
AS15169Google LLC
115.197.172.60Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
12.22.231.125Akamai · CDNBerlin, State of Berlin, Germany
AS20940Akamai International B.V.
152.216.56.88Aws · CLOUDAshburn, Virginia, United States
AS16509Amazon.com, Inc.
1142.251.14.119Google · CDNUnited States
AS15169Google LLC
1146.75.122.79Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
123.194.190.149Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
152.222.229.234Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1108.62.123.195Manassas, Virginia, United States
AS30633Leaseweb USA, Inc.
3929--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19931223A1C00C437192382B5313AF76DF98B556EB242C8A0F4FA8AAA1ED1F92CD16455

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:JD1NBmbJ6TNpCXz8mPVjEAAWr0m5FwUngQ:JD7891VTw1uH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1707:AAAQAAAiAAgAEwBAAAAAgAQAAESAAAgABAQEBBAAAAIAIAAAAAAAARQACCEgEEAAAEAQAAAQAAAAIAAAFCAQAAYAgAAAAAEI

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:ffffc7c7c7c7c7c7
Perceptual Hash:b0cfcdccc7323838
Difference Hash:38301e0f1f1f1f1f
Wavelet Hash:dfcf838383838387
Color Hash:#ac6553

Scan History

Scan history not available

Unable to load historical scan data