Security Scan Report: anvisaqr-qtiur5lzhs.edgeone.app

Redirected to:
https://anvisa.servicos.gov.br/sso/login?redirectBackTo=https://anvisa...
Submitted: Apr 29, 2026, 5:32:16 AMCompleted: Apr 29, 2026, 5:33:44 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 3 domains to perform 10 HTTP transactions. The main domain is anvisa.servicos.gov.br and was registered NaN years ago.

Submitted URL: https://anvisaqr-qtiur5lzhs.edgeone.app/

Effective URL: https://anvisa.servicos.gov.br/sso/login?redirectBackTo=https://anvisa.servicos.gov.br/sso/permission/create.do?menu%3D2%26smenu%3D1Redirected

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

AI Security Verdict

Moderate Risk

Confidence: 85%

5
Risk Score

High‑risk brand impersonation phishing site that harvests Anvisa credentials.

Risk Factors
Unknown subdomain age
Low domain ranking
Brand impersonation with credential collection
Login form on non‑official domain
Safety Factors
Established domain (5824 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

SSO - Login

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(75%)

Domain Information

Within the application-focused generic top-level domain (.app), 'anvisaqr-qtiur5lzhs.edgeone.app' is registered, featuring subdomain 'anvisaqr-qtiur5lzhs'. The second-level label 'edgeone' is 7 characters long with 4 vowels and 3 consonants. Segmentation suggests two 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://anvisaqr-qtiur5lzhs.edgeone.app/

Page Load Overview

0.36s
Total Load Time
3
HTTP Requests
2
Domains
67 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:197 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical75% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
75%
technology software
73%
government public service
55%
government
48%
documentation technical
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24.201.74.149Campinas, São Paulo, Brazil
AS8075Microsoft Corporation
143.152.26.58Singapore
32--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19841B5C130A0F4CD033A5860483FF04AF12E5D3506B9A9D0C74898B6BCF454A80B9D66

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:7iEdutvDxSHyRhXx2lsKlzxBlsu8vRgHanAkL8jY:7iU0xSHyRh8lpzCHoAYY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2127:AICIBAAAAIAAAAAAQAABgAAAiAABEAAAAAAACIQQoAIQAAAEEAAAAgSAAhAABAACACEAAAAEEQEAEAkRAAAABAABAIAAAgAB

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#1f9342

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data