Security Scan Report: didoron.com.ar

Submitted: Dec 9, 2025, 8:16:30 AMCompleted: Dec 9, 2025, 8:16:57 AMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 2 domains to perform 15 HTTP transactions. The main domain is didoron.com.ar and was registered NaN years ago.

Submitted URL: https://didoron.com.ar/cdkm/markez/?20252025teamitalie

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (>6 years old)
No malicious Indicators of Compromise detected
Only email and payment fields; no password fields
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

e-commerce

(40%)

Domain Information

Within the Argentine country-code top-level domain (.com.ar), 'didoron.com.ar' is registered while skipping any subdomain. The second-level label 'didoron' is 7 characters long with three vowels and 4 consonants. Word splitting yields three words: did, or, on. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://didoron.com.ar/cdkm/markez/?20252025teamitalie

Page Load Overview

3.49s
Total Load Time
15
HTTP Requests
2
Domains
86 KB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:it
Text Length:462 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce40% confidence
Type: dynamic
Method: structural

All Detected Categories

e-commerce
40%

Detected Features

Payment

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3200.58.110.220Rosario, Santa Fe, Argentina
AS27823Dattatec.com
3142.250.184.202United States
AS15169GOOGLE
32800:6c0:2::8Buenos Aires, Buenos Aires F.D., Argentina
AS27823Dattatec.com
32a00:1450:4001:830::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
154--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17022DEA050F1497B00FB98D96A656E1A9ED1E203CD27014AB7EC4FE60FDBD4BCE53618

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:fD+Vtu9tCMf8wF/ExrqEPEW6OKO6i76tlPYLFWe/t96sPajfjMscmJ:fD+Vc9tzf8jP6je/rXajft

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10899:iAmMUQn0E6TEXgEAjhSGKA+AOMEAFRSgzOIFgUEooqBCmMCIS0ABUTAYEOADTAEhCkqBBOAAyAhbCYIY7TVICbQCFBQBVEkY

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data