Security Scan Report: portalcloud.app

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Submitted: Sep 24, 2026, 11:12:51 PMCompleted: Sep 24, 2026, 11:17:59 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

College website content, no forms, no credential/payment capture, no Indicators of Compromise, YARA, or IDS hits. Established 5-year-old domain — no concrete malicious signal present.

Safety Factors (5)
Established domain (approximately 5 years old)
No credential, payment, or disguised-password forms
No Indicators of Compromise or threat-intel matches
No JavaScript malware or known phishing-kit signatures
Content reads as a genuine educational institution site linking to its .edu.br official domain
Domain age information unavailable

Details

Page Title

Facx - Orgulho de ser Presencial Facx - Orgulho de ser Presencial

Scan Type

public

Domain Name Analysis

The domain 'portalcloud.app' uses the application-focused generic top-level domain (.app) with no subdomain. The core label 'portalcloud' covers 11 characters with 4 vowels and 7 consonants. Splitting it apart reveals two words: portal, cloud. Median word length comes out to 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://portalcloud.app

Page Load Overview

77.34s
Total Load Time
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:pt-BR
Text Length:2,755 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning92% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
92%
finance banking
76%
adult content
73%
news media journalism
63%
government public service
60%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2177.104.174.38Brazil
AS53107EVEO S.A.
0142.250.154.95Google · CDNUnited States
AS15169Google LLC
054.20.147.1Aws · CLOUDSão Paulo, São Paulo, Brazil
AS16509Amazon.com, Inc.
03--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D982D877119C7D0A1B5253D7EE4B714EC25990F3D2A8DAA9FE39813E12F4AF0A321E11

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:7+rRfAeOMKKk6JvZTiyBnHiisG3oolFsr:7+rRfXOMFk6JvZTiyBnHiisTusr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18787:XMMBA6gIwQhAIHOWCyeyXArGDwJDAiSbwjrDWwIEAGAEt1JwCIwCIqKTFegghIIGNbtBMARXlriGhwJ0gZIRgMDELBVJZrGQ

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:00efc7efff818181
Perceptual Hash:ea914e0495793f93
Difference Hash:d4091d150f072323
Wavelet Hash:00efc7cfff818181
Color Hash:#ca2dd2

Scan History

Scan history not available

Unable to load historical scan data