Security Scan Report: kenbecer.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 34 IPs in 5 countries across 27 domains to perform 43 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://kenbecer.pages.dev/post/gambar-orang-cuci-tangan-animasi/

AI Security Verdict

Low Risk

Confidence: 74%

2
Risk Score

Auto-generated Indonesian image-scraper blog on pages.dev with no credential or payment forms and no impersonation. Only weak signals are SEO-spam content quality; threat-intel tag is generic abuse-reputation on a third-party address. Low risk.

Risk Factors (3)
Low-quality, machine-generated scraped image content typical of SEO/content-farm spam
Hosted on a free instant-publishing pages.dev subdomain whose own creation date is unknown (platform apex age not attributable to this page)
Redirect chain through unrelated image sites (img2.pngdownload.id, cleanpng.com, a wordpress.com blog) before reaching this page
Safety Factors (4)
No credential, password or payment fields on the page
No brand impersonation — the page displays only its own name, not another entity's brand
No JavaScript malware, no known phishing kit, no Safe Browsing hit, no credential exfiltration
Threat-intel match is reputation-only on a third-party resource address, not on this page's content
Domain age information unavailable

Details

Page Title

Gambar Orang Cuci Tangan Animasi / Penggunaan modal kata kerja yang benar ef blog. - Beckent

Scan Type

public

Domain Name Analysis

The domain 'kenbecer.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'kenbecer'. Its registrable label 'pages' stretches across 5 characters holding 2 vowels versus 3 consonants. Breaking it apart gives 1 word: pages. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kenbecer.pages.dev/post/gambar-orang-cuci-tangan-animasi/

Page Load Overview

80.10s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:7,249 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as id

Website Classification

Primary Category

healthcare medical55% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
55%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10172.66.47.174Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.66.44.82Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
1142.251.14.132Google · CDNUnited States
AS15169Google LLC
1104.18.3.157Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
118.245.31.3Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
1104.18.18.157Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1103.255.15.48Indonesia
AS59151Diskominfo DIY
1172.67.182.162Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4334--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13DD2F80189E8141F060203D426AAFF6CE8DB1524E7078F99BB295EF57F41AE18A3FD74

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:iCiJlZULS57xurHrALiZgyMyk049Y9Cy958edHza/JA2Y22HB+GP/A/bApBCrXo4:izJ3ULS57xQHrALiZgyMyk049Y9d58eS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30651:akEWQIIZB2uMTI8yEECJIIIBARNADQFinaQChDFCgCJW0NAYg6QVgLYBEkTNCMkBAMJaIQgCVdQCKYgMMwrWHJAeASLCW2EA

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:9f87fbfbfbfbfbfb
Perceptual Hash:ed3a3282c3cdc5cc
Difference Hash:383c62c2c2d2c6d2
Wavelet Hash:00077b7b787a7362
Color Hash:07000000007

Other Hashes

Crop Resistant:383c62c2c2d2c6d2

Scan History

Scan history not available

Unable to load historical scan data