Security Scan Report: rafuxo.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 12 IPs in 1 country across 6 domains to perform 30 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://rafuxo.pages.dev/category/recipes/

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Self-branded home-cooking blog on a pages.dev subdomain with no credential or payment forms, no threat-intel, YARA, or phishing indicators. Newsletter-only email field. Low risk.

Risk Factors (3)
Hosted on a shared developer platform (.pages.dev) where the subdomain's actual creation date is unknown
Domain is unranked in Cisco Umbrella and the platform apex age is not attributable to this page
4 eval() calls present, likely from embedded third-party advertising scripts rather than malicious behavior
Safety Factors (5)
No credential, password, or payment fields anywhere on the page
Cross-origin credential exfiltration not detected; form action uses a known legitimate form-handling service
Site displays only its own brand, with consistent title, meta, and Open Graph self-identification
External domains loaded are standard fonts and ad-serving/quality endpoints (Google Fonts, Google AdSense)
Content reads as a genuine, coherent cooking/recipe publication with policy and company footer links
Domain age information unavailable

Details

Page Title

Everyday Recipes · Rafuxo

Scan Type

public

Domain Name Analysis

The domain 'rafuxo.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'rafuxo'. The second-level label 'pages' is 5 characters long 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://rafuxo.pages.dev/category/recipes/

Page Load Overview

0.89s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,026 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning29% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
29%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8172.66.47.203Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
2142.251.14.155Google · CDNUnited States
AS15169Google LLC
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2142.251.13.156Google · CDNUnited States
AS15169Google LLC
2142.251.110.132Google · CDNUnited States
AS15169Google LLC
2172.66.44.53Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.14.157Google · CDNUnited States
AS15169Google LLC
2142.251.14.156Google · CDNUnited States
AS15169Google LLC
2142.251.14.154Google · CDNUnited States
AS15169Google LLC
3012--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14CA2E93360E8543B93334185B749677E6986920BEB420D20B2EC8F5D6FD2D97A81727D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:qZObyyCgnr/rrHZPPsIy+xOgUXr7WcGgt4ksY:qZObyyCgnr/n3yZb7zf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22283:QV45xayASwAZuSSqlBAVQGVAEYRbicABpkYoASIQASAikUowyKJOcBA4EIl9gMAqJFgSWAgICIKc8qpZIYcQMnTLVAsjMMHK

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:ffdfcfff8181dbff
Perceptual Hash:b887c729c3c76923
Difference Hash:6b3c1c17333b2b0b
Wavelet Hash:f98fc7df818181c1
Color Hash:#783d3a

Scan History

Scan history not available

Unable to load historical scan data