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Security Scan Report: www.opl.it

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Submitted: Oct 10, 2025, 1:29:26 PMCompleted: Oct 10, 2025, 1:30:51 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is opl.it and was registered NaN years ago.

Submitted URL: https://www.opl.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Long‑standing domain (>25 years)
Official branding matches domain (OPL)
No payment or credential harvesting forms on untrusted domains
Domain age information unavailable

Details

Page Title

502 Bad Gateway

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(71%)

Domain Information

The domain name 'www.opl.it' uses the Italian country-code top-level domain (.it); it also runs on subdomain 'www'. Count 3 characters in 'opl' holding one vowel versus two consonants. Word splitting yields 2 words: op, l. Median word length is 1.5 characters. 'op' most often appears in Chinese (Zhuyin). It also appears in Dutch and Catalan contexts. Overall, 'www.opl.it' reads as Chinese (Zhuyin).

Screenshot

Security scan screenshot of https://www.opl.it/

Page Load Overview

10.88s
Total Load Time
2
HTTP Requests
1
Domains
10 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:3,567 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service71% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
71%
education learning
70%
forum community discussion
64%
news media journalism
59%
adult content
39%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
215.161.75.205Milan, Lombardy, Italy
AS16509AMAZON-02
21--

Detected Technologies2

JQueryv1.9.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10163A601B9C2243B413353D09976AB18F8B64107D50B8A053AFC6B97BFF6E245D2FA9D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:+LBGlD+T885Fjwevqb176C6/NTsFe0iLOxYXgjpu:+LUDyFjwewOfOggE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:72451:OUAhtiBQABATY4AJEAYyBIQ0RKwAEUIEJhjNCjItZKjAA1EgkGIQjgFEywxwcQCiZ1MC6BsoBDSAQmzN4ABiJkeGQSAcZAgo

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:3fffffffffffffff
Perceptual Hash:8707070f0f0f1f1f
Difference Hash:c000000000000000
Wavelet Hash:00c0c0c000000000
Color Hash:#78663a

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

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