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Security Scan Report: portal.unifesp.br

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Submitted: Jan 10, 2026, 11:54:30 PMCompleted: Jan 10, 2026, 11:56:23 PMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 10 domains to perform 116 HTTP transactions. The main domain is portal.unifesp.br and was registered NaN years ago.

Submitted URL: https://portal.unifesp.br

The Cisco Umbrella rank of the primary domain is #681,365 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate university portal with no security concerns.

Safety Factors
Long‑standing domain registration (since 2000)
Official university domain (unifesp.br)
Absence of credential‑harvesting or payment forms
No malicious Indicators of Compromise detected
No known phishing or malware activity
Domain age information unavailable

Details

Page Title

HOME

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

healthcare medical

(34%)

Domain Information

Domain 'portal.unifesp.br' uses the Brazilian country-code top-level domain (.br) and includes subdomain 'portal'. Count 7 characters in 'unifesp' holding three vowels versus four consonants. Tokenizing the label suggests 3 words: un, if, esp. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://portal.unifesp.br

Page Load Overview

19.32s
Total Load Time
203
HTTP Requests
13
Domains
20.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt-BR
Text Length:11,320 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical34% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
34%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23172.67.73.213United States
AS13335CLOUDFLARENET
20142.250.184.202United States
AS15169GOOGLE
2054.233.0.73São Paulo, São Paulo, Brazil
AS16509AMAZON-02
20142.250.184.200United States
AS15169GOOGLE
20200.144.93.101São Paulo, São Paulo, Brazil
AS1916Rede Nacional de Ensino e Pesquisa
203.161.82.44United StatesUnknown
20104.17.24.14United States
AS13335CLOUDFLARENET
20172.67.68.204United States
AS13335CLOUDFLARENET
20142.250.186.99United States
AS15169GOOGLE
20151.101.65.229United States
AS54113FASTLY
20310--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A3A4867060A00A39616F56C3E12BB78E72B1A327DB03C9D5FBBF066467C99FA145434E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:oZqnUJ1ep4I4F4OGxnmw57wAjQqK16Me3GzKy:CqnUnep4I4F4OGxng

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:464610:EopAAiAi0B5BUCQZoJUwAAVBQAxDIogen8gAEqOILjCBrQegiFAIOOCkAAUCggiBEQgDpIToAiQcgUQAQAEdiqDAIlALYBBa

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:000b0b0f0f1fff00
Perceptual Hash:ab29449657f40f4e
Difference Hash:44d39b3f7f7f3769
Wavelet Hash:000f0f0f0f3fff09
Color Hash:#932dd2

Other Hashes

Crop Resistant:44d39b3f7f7f3769,44dfd39b3f3e6f7f,3769b26971322a2a

Scan History

Scan history not available

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