Security Scan Report: brazilreview.pages.dev

Submitted: Apr 29, 2026, 3:09:12 AMCompleted: Apr 29, 2026, 3:10:31 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is brazilreview.pages.dev and was registered NaN years ago.

Submitted URL: https://brazilreview.pages.dev/

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

brazilreview.pages.dev

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(65%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'brazilreview.pages.dev' is registered; it also runs on subdomain 'brazilreview'. The core label 'pages' covers 5 characters containing 2 vowels alongside three consonants. Breaking it apart gives 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://brazilreview.pages.dev/

Page Load Overview

0.37s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:240 chars
Detector Agreement:67%

Website Classification

Primary Category

news media journalism65% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
65%
technology software
57%
healthcare medical
55%
government public service
52%
adult content
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1188.114.96.3United States
AS13335Cloudflare, Inc.
11--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15E048F773296063986558498F05B43099F20B143F506C9BCBABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:q/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPw2bMy8Oldg:LhoC9JSqzzbs6okSjggcpsI2eAO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185408:EhzCBGAgoECgMExEBgAIABKtNJhZACSG3IAFcBa1RYBKhSIAEQEUAZJZyJFA2yQkMJPYUgbHACU6FAzTaBCRQWCYGAwGEIhk

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:ffc3c7c3f3ffffff
Perceptual Hash:b1319acecc333372
Difference Hash:00141c1606000000
Wavelet Hash:3c1c0000030f0f0f
Color Hash:#862d31

Other Hashes

Crop Resistant:00141c1606000000

Scan History

Scan history not available

Unable to load historical scan data