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Security Scan Report: clinicafatima.com

Submitted: Dec 17, 2025, 4:19:03 PMCompleted: Dec 17, 2025, 4:20:54 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is clinicafatima.com and was registered NaN years ago.

Submitted URL: https://clinicafatima.com/reloj/app-frm-sec/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security threats detected; site appears legitimate.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No credential or payment collection
Domain age information unavailable

Details

Page Title

MVM Next Energiakereskedelmi Zrt.

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

The domain 'clinicafatima.com' uses the commercial generic top-level domain (.com) without a subdomain. Its registrable label 'clinicafatima' stretches across 13 characters holding six vowels versus 7 consonants. Breaking it apart gives three words: clinic, a, fatima. The median word length lands at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://clinicafatima.com/reloj/app-frm-sec/

Page Load Overview

30.13s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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:747 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
63%
adult content
50%
healthcare medical
39%
government public service
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2200.58.111.18Rosario, Santa Fe, Argentina
AS27823Dattatec.com
12800:6c0:2::269Buenos Aires, Buenos Aires F.D., Argentina
AS27823Dattatec.com
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17EA1532AE5F154736573E48D25AB69143DA2C003980A9D117FFCCBD81FBBD4A881396A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nmdTA0xgs92BlXd6vtC5O4j2lFWIa5SaoLrGzDKs4:CzxgX5d6vta0WIa5SzLrJ7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4765:AAQQZAIxYkAgIpCJgsEIEIIRBMBAAQQhACIAAsIBQoFCAAEhQATQo0BCABChIkAAEAAAAYiAEAEEKMAkYkQAAFQkE5CDECRQ

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:fcdcc4c4c0f8f0f0
Color Hash:#40aebf

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data