Security Scan Report: www.bimdelpo.cn.it

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Submitted: Jan 18, 2026, 7:53:43 AMCompleted: Jan 18, 2026, 7:54:53 AMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 3 domains to perform 1 HTTP transaction. The main domain is bimdelpo.cn.it and was registered NaN years ago.

Submitted URL: https://www.bimdelpo.cn.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government site with no security concerns.

Safety Factors
Well‑established domain (>16 years old)
No malicious Indicators of Compromise detected
No forms collecting sensitive data
Content appears to be an official public tender announcement
Domain age information unavailable

Details

Page Title

Consorzio BIM del Po - sito internet istituzionale - Regione Piemonte - Provincia di Cuneo

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'www.bimdelpo.cn.it' uses the Italian country-code top-level domain (.cn.it), featuring subdomain 'www'. The registrable portion 'bimdelpo' spans 8 characters with three vowels and five consonants. Segmentation suggests 3 words: bim, de, lpo. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.bimdelpo.cn.it/

Page Load Overview

1.70s
Total Load Time
42
HTTP Requests
3
Domains
1.3 MB
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:6,218 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1437.59.136.72France
AS16276OVH SAS
145.9.68.251Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
14104.18.11.207United States
AS13335CLOUDFLARENET
423--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1065407147AF129324357F0B46DEFCE88B67C670F52898818729C86945F61C6487FBEAC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:T+u2oi9G2CWPtcKINdeeX9QYGCXiKUt985dmofp2/bffs27Dpcj8Vb2:TDO9G2CWPtcKINdeeWYGCQt9IODw8Va

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:286240:IUDquAECSmygCQiTWgeiDAgJ8TYFE5GYqAJUDIQFMpQFABLB1EABmgYQQGSFNAQhCQylACJgEAeCJEMSBBSIABEQ4rVCwAkU

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:0000404000ffffe7
Perceptual Hash:e248b79d3ef8e048
Difference Hash:868b85a5accc0d0d
Wavelet Hash:0000c1d107ffffe7
Color Hash:#2d8641

Scan History

Scan history not available

Unable to load historical scan data