Security Scan Report: vunamar.pages.dev

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Submitted: Sep 29, 2026, 12:10:07 PMCompleted: Sep 29, 2026, 12:11:10 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 62%

4
Risk Score

Auto-generated content farm on a pages.dev subdomain that scrapes and republishes other sites' articles and media. No forms capture credentials or payment and no malware/IoC hits were found, but content quality and attribution are abusive — treat as low-trust SEO spam, not a scam.

Risk Factors (3)
Low-quality machine-generated/aggregated content typical of an SEO spam or click-farm site
Reuses another outlet's brand name and media without attribution on a non-official domain
Free shared-hosting subdomain (pages.dev) with no reputation and unknown true page age
Safety Factors (5)
No credential, login, or payment form (0 password, 0 disguised-password, 0 payment fields)
No threat-intelligence IoC matches against the page or its resources
No YARA JavaScript malware matches and no credential exfiltration
No brand-owner login page or phishing kit imitation — the site does not present a false login for any brand
Script hosts are mostly top-1M ranked; only one unranked host with no tampering evidence
Domain age information unavailable

Details

Page Title

Cageside Seats / By cageside seats staff february 20. - Romanvu

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'vunamar.pages.dev' is registered and includes subdomain 'vunamar'. The registrable portion 'pages' spans 5 characters containing two vowels alongside three consonants. Segmentation suggests one word: pages. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vunamar.pages.dev/post/cageside-seats/

Page Load Overview

6.37s
Total Load Time
2.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,481 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media67% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
67%
social media network
59%
news media journalism
33%
documentation technical
25%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17172.66.47.199Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1192.178.170.95Google · CDNUnited States
AS15169Google LLC
115.197.212.58Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
12.16.10.154Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1146.75.120.124Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1172.64.150.129Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
113.33.158.49Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
1192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
1157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1104.20.19.171Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4024--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10AD2F95581FD182B570303D13726BBA9E683940AE7138AE8771E60B17F42DA7C53BAF4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:RJl3kazvaVwgkue7uLdkVFYFcsyXw6qd3vcJcQ+OZJErLRrsoDHFeCrQpmh2FHNS:RJd32Vwx7wmVFYFcsyXw6qd3UOQ+OZJI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28324:HACQFJUByoBIQCCiR8WFQBfAKAGIKEUlBAmYCGGCmEBRoMSQqA+imVRiUHGahSARE6KQQ3gHg7oEcCmaCxQAncBAQIWSC4EO

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:ffefc7c7c7ffc7c7
Perceptual Hash:b0cdcfcd3832c332
Difference Hash:300c0f3f1e920f1f
Wavelet Hash:dfc7838383cb8383
Color Hash:#ac539c

Scan History

Scan history not available

Unable to load historical scan data