Security Scan Report: kenbecer.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 9 IPs in 3 countries across 8 domains to perform 33 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://kenbecer.pages.dev/post/wallpaper-boneka-aesthetic-pinterest/

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Self-branded wallpaper-aggregation blog on a pages.dev subdomain. No forms collecting credentials or payment, no Indicators of Compromise, no malware patterns. Low risk; content quality and ad scripts are the only concerns.

Risk Factors (3)
Unranked domain on a shared pages.dev subdomain whose actual creation date is unknown
Low-quality, scraped/aggregated wallpaper content monetized by third-party ad scripts (adserver.adreactor.com, blissfuldes.com)
Page text includes engagement-bait phrasing ('vote and comment dulu') typical of content-farm aggregation
Safety Factors (4)
Self-branding matches the site's own name; no impersonation of another brand
No credential, login or payment forms; the sole form is a search box to google.com
No Indicators of Compromise, hunting-rule matches, Safe Browsing flags or malicious JS behavior
Standard analytics/CDN third-party scripts only
Domain age information unavailable

Details

Page Title

Wallpaper Boneka Aesthetic Pinterest : Jangan lupa sebelum kalian save silahkan vote and comment dulu. - Beckent

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'kenbecer.pages.dev' is registered with subdomain 'kenbecer'. Count 5 characters in 'pages' with two vowels and 3 consonants. Splitting it apart reveals 1 word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kenbecer.pages.dev/post/wallpaper-boneka-aesthetic-pinterest/

Page Load Overview

0.65s
Total Load Time
3.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,546 chars
Detector Agreement:60%

Website Classification

Primary Category

social media network53% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
53%
download file sharing
40%
entertainment media
33%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.66.44.82Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.66.47.174Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.127.95Google · CDNUnited States
AS15169Google LLC
3146.75.120.84Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3142.251.14.97Google · CDNUnited States
AS15169Google LLC
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
346.166.179.121Netherlands
AS43350NForce Entertainment B.V.
3216.239.34.36Google · CDNUnited States
AS15169Google LLC
3216.239.32.36Google · CDNUnited States
AS15169Google LLC
339--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T191C21B2DC6D54C170F0223E053259F7ED5526528EB03CA99F4AE56F86F4A993CC3B8D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:TiJlr83WmDlZ760eN0iHohc0h0+cEeKjkrrhydzc:eJJ8Gmn760eN0iHohc0h0+cEeKjkrrhz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27880:ocCSYDUqQAtAAIo5KMKIGAEIAAghxqBO/JQwABpAUHvgIWEhvEQIAYViQWtkQTALAx1RFSiAyELBJwH4VcEWgBEUN9CEMTEC

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:ffdfc7c7c7c7c7c7
Perceptual Hash:b2cdccc7903833cd
Difference Hash:281c1e9e8f0e0e1e
Wavelet Hash:dfc78383c3838387
Color Hash:07401080000

Scan History

Scan history not available

Unable to load historical scan data