Security Scan Report: diacono-roberto-guedes.pages.dev

Redirected to:
https://diacono-roberto-guedes.pages.dev/loja
Site favicon
Submitted: Completed: publiccompleted
This website contacted 33 IPs in 2 countries across 15 domains to perform 54 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://diacono-roberto-guedes.pages.dev/loja.html

Effective URL:
https://diacono-roberto-guedes.pages.dev/loja
Redirected

AI Security Verdict

Low Risk

Confidence: 60%

3
Risk Score

Self-branded Portuguese author/minister page selling spiritual books via Hotmart. No credential or payment forms on-site, no Indicators of Compromise or malware. Only benign newsletter email capture. Cloudflare Pages hosting with unknown age, but no concrete malicious signal.

Risk Factors (2)
Subdomain on shared hosting platform (pages.dev) with unknown creation date
Unranked domain with no reputation history
Safety Factors (5)
Self-branded site (own brand matches domain), not impersonating another entity
No password, credit-card, or disguised credential fields anywhere on the page
External payment handled by a recognised platform (Hotmart), not collected on-site
Cross-origin POST goes to Formsubmit (legitimate form-backend service) for an email newsletter
No Indicators of Compromise, YARA or Safe-Browsing hits
Domain age information unavailable

Details

Page Title

Loja | Diácono Roberto Guedes — Livros Espirituais na Hotmart

Scan Type

public

Domain Name Analysis

You're looking at domain 'diacono-roberto-guedes.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'diacono-roberto-guedes'. Count 5 characters in 'pages' with two vowels and three 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://diacono-roberto-guedes.pages.dev/loja.html

Page Load Overview

1.53s
Total Load Time
3.4 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:pt-BR
Text Length:3,325 chars
Detector Agreement:80%

Website Classification

Primary Category

adult content87% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

adult content
87%
healthcare medical
70%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.217.208.95Google · CDNUnited States
AS15169Google LLC
1192.178.183.97Google · CDNUnited States
AS15169Google LLC
1142.251.13.155Google · CDNUnited States
AS15169Google LLC
1157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
192.123.104.150Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1216.239.32.36Google · CDNUnited States
AS15169Google LLC
1142.251.127.154Google · CDNUnited States
AS15169Google LLC
1192.178.183.94Google · CDNUnited States
AS15169Google LLC
5433--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11FE2F726E8F210B115339D8067F35F9A2554910BEC86CA5876ED07C85FF9ED2DC83A9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:FdQPLniI0B4xCnXRYiII822BymJ79ZntkyAO5xi1vU:oLniVB4kn2iII822j9OU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32215:kiqgBApOAAWAACwMEggEygBBQETFAIILAANg0gdWgVBQGQuyshrsBAMfAUkCSE2BEEjrASAvqiRFwCAWmAEpBAQYGgQwSJRF

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:000000ffffffffc3
Perceptual Hash:b00e39cff0e55649
Difference Hash:d5f3f1969649969e
Wavelet Hash:000000c7ffffefc3
Color Hash:#2dd29e

Scan History

Scan history not available

Unable to load historical scan data