Security Scan Report: editora.ufpe.br

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Submitted: May 24, 2026, 3:59:52 PMCompleted: May 24, 2026, 4:02:12 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is editora.ufpe.br and was registered NaN years ago.

Submitted URL: https://editora.ufpe.br/android/202505/taylor%20fritz%20tennis%20player

The Cisco Umbrella rank of the primary domain is #455,230 of the top 1 million websites

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

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'editora.ufpe.br' uses the Brazilian country-code top-level domain (.br), featuring subdomain 'editora'. The core label 'ufpe' covers 4 characters holding 2 vowels versus 2 consonants. Tokenizing the label suggests two words: uf, pe. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://editora.ufpe.br/android/202505/taylor%20fritz%20tennis%20player

Page Load Overview

20.23s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:13 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2150.161.6.214Recife, Pernambuco, Brazil
AS1916Rede Nacional de Ensino e Pesquisa
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13AA002FD9062554D7D2535F05EC226865C15435F7462891119806464C4481AE8C463C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ6iMrKb0G34:qzxO962btI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:b559d5d41b95d72c5d7f9ca3d9f5e166

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:3fffffffffffffff
Perceptual Hash:87070f0f0f0f0f1f
Difference Hash:c000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#785e3a

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data