Security Scan Report: eu.pacs.medicai.io

Redirected to:
https://auth.medicai.io/auth/realms/production/protocol/openid-connect...
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Submitted: May 6, 2026, 12:44:03 AMCompleted: May 6, 2026, 12:45:30 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 71 HTTP transactions. The main domain is auth.medicai.io and was registered NaN years ago.

Submitted URL: https://eu.pacs.medicai.io

Effective URL: https://auth.medicai.io/auth/realms/production/protocol/openid-connect/auth?response_type=code&client_id=medicai-web&state=RWpHLjYtbzVCQnFGSEliQlVVOUlBRHVDVWlUWldHZUU2dkJUXzkyWVhFblpH&redirect_uri=https%3A%2F%2Feu.pacs.medicai.io%2Fauthenticated&scope=profile%20email%20offline_access&code_challenge=UaiIOMzfjnD5UBJ2FsZtxPzK92LVw49FHHr2MkbjoRQ&code_challenge_method=S256Redirected

The Cisco Umbrella rank of the primary domain is #646,319 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Low risk site with no malicious activity; likely legitimate but monitor due to low domain ranking.

Risk Factors
Low Cisco Umbrella ranking (646,319) for a site claiming the Medicai brand
Safety Factors
Long‑standing domain registration
Absence of credential or payment collection
No malicious code or network alerts detected
Domain age information unavailable

Details

Page Title

Medicai App - Medical Imaging Portal and Collaboration

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

healthcare medical

(71%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'eu.pacs.medicai.io' is registered, featuring subdomain 'eu.pacs'. The core label 'medicai' covers 7 characters containing four vowels alongside three consonants. Breaking it apart gives 3 words: medic, a, i. Expect 1 character per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://eu.pacs.medicai.io

Page Load Overview

4.09s
Total Load Time
82
HTTP Requests
4
Domains
52 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
Text Length:230 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical71% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
71%
documentation technical
51%
government public service
48%
technology software
34%
adult content
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1865.9.175.117United States
AS16509Amazon.com, Inc.
1620.101.197.219Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
1620.71.237.30Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
16162.247.243.39United States
AS54113Fastly, Inc.
16142.251.14.97United States
AS15169Google LLC
825--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18124E791E100313ABD5286FFC4D8DE15DFD58DE1DE0293AAF2404D5C92CE9FAA25EB21

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:p861N08ERLy9YBfkTnTl0f/FrtumMg4nVgAhAHscECCyATg63UvtceLXs2:ff08Ek4mTlo9rLHRAUBtPL3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:226846:A5tccIEDmY7wCYCsDIxExBDo8CEBGAQkJggJATgYKaTA5WKgRAISWgkiEwKANug0MTliViAgiAIuOeACBjKZ6BAAWBlYiIgj

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:1f3fffffffffffff
Perceptual Hash:8101010d1efefefe
Difference Hash:f0c0008000000000
Wavelet Hash:1e00ffff00000000
Color Hash:#98d279

Other Hashes

Crop Resistant:f0c0008000000000

Scan History

Scan history not available

Unable to load historical scan data