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Security Scan Report: resumofarmacologia2-liboqri17l.edgeone.app

Submitted: Apr 11, 2026, 9:31:21 PMCompleted: Apr 11, 2026, 9:32:51 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is resumofarmacologia2-liboqri17l.edgeone.app and was registered NaN years ago.

Submitted URL: https://resumofarmacologia2-liboqri17l.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Low risk site with no malicious indicators; unknown subdomain age warrants cautious use.

Risk Factors
Unknown subdomain age on a hosting platform
Low Cisco Umbrella ranking (455,732) for a site claiming health content
Safety Factors
Zero forms and no credential fields
No malicious scripts or obfuscation
No network IDS alerts or credential exfiltration
Domain age information unavailable

Details

Page Title

Resumão – Farmacologia da Saúde Mental

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

healthcare medical

(90%)

Domain Information

The domain 'resumofarmacologia2-liboqri17l.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'resumofarmacologia2-liboqri17l'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. Word splitting yields 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://resumofarmacologia2-liboqri17l.edgeone.app/

Page Load Overview

0.55s
Total Load Time
7
HTTP Requests
3
Domains
135 KB
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:11,263 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical90% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
90%
adult content
34%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.250.154.94Singapore
AS15169
2142.251.127.95Singapore
AS139341
243.152.26.58Singapore
AS139341ACE
73--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T134928471D6E501A762F7C6C23162BB4B66D0C683D10B4391B2FD97A55BCEC80AE23E4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:DTZGvbQ5hd8XUC3hdOPlJsTejpL83DggUmvUIhs:DpkUCxdWlJsTUpLSMgZvU6s

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20962:OEYEYoT16CpDkilOIMgBAYAwsrhIlQCNTBE9MEGooBALiT00EwpYAgwAiYjEADAhkzGHWRJFzTApIMUIQdFBAiBTuACUQwAC

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:003c3c3c3c3c3c3c
Perceptual Hash:8a75756431736c71
Difference Hash:8769696971616969
Wavelet Hash:003c3c3c3d3d3d3d
Color Hash:#4071bf

Other Hashes

Crop Resistant:b3b3b3b3b3b0b5b3,c9cacbfbd9cbcedb,8669696971616969

Scan History

Scan history not available

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