Security Scan Report: www.ufpe.br

Site favicon
Submitted: Jun 13, 2026, 11:12:59 AMCompleted: Jun 13, 2026, 11:15:01 AMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is ufpe.br and was registered NaN years ago.

Submitted URL: https://www.ufpe.br

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate university website with no malicious indicators.

Safety Factors
Long‑standing, well‑established .br government/education domain
Absence of credential or payment forms
No malicious code or network alerts
Self‑branding aligns with domain, no impersonation
Domain age information unavailable

Details

Page Title

Universidade Federal de Pernambuco - UFPE

Scan Type

public

Language

🇵🇹

Portuguese

(73% confidence)

Category

government public service

(47%)

Domain Information

You're looking at domain 'www.ufpe.br' on the Brazilian country-code top-level domain (.br), featuring subdomain 'www'. Count 4 characters in 'ufpe' holding 2 vowels versus 2 consonants. It segments into 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://www.ufpe.br

Page Load Overview

27.60s
Total Load Time
114
HTTP Requests
14
Domains
7.8 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:73%
Script Type:Latin
HTML Lang Attribute:pt-BR
Text Length:60,990 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service47% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5754.233.226.96São Paulo, São Paulo, Brazil
AS16509Amazon.com, Inc.
57150.161.6.84Recife, Pernambuco, Brazil
AS1916Rede Nacional de Ensino e Pesquisa
1142--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11BB41020D4C53F324AB3F693DE74E356F2A120CDED63AD5533F89A8B8526E08C512976

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:/V8ns4ZT3jNjInRYM2l1zIboI9lgENaLb6EY1m5c94exf0bETqXS5EyxZf4P7+z1:97yjInRYM2lFvYB9Xxf0bETqeEA1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:508845:gDMANUBVYAqiFuBBCASqoiSKCGhVIHwulIBUiYITRkgRyoUHQJiQXAMGQkApIsicLAImAEUGACFnAOqEL9CUYCVAgxgqEFUI

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:000000ffffffffdf
Perceptual Hash:b8431ee3bcc7382a
Difference Hash:cddc631693133636
Wavelet Hash:000000fbcbebff9f
Color Hash:#2d8686

Scan History

Scan history not available

Unable to load historical scan data