Security Scan Report: m.dagospia.com

Submitted: Jan 23, 2026, 7:15:50 PMCompleted: Jan 23, 2026, 7:16:31 PMpubliccompleted
Loading additional data...

Summary

This website contacted 12 IPs in 2 countries across 15 domains to perform 84 HTTP transactions. The main domain is m.dagospia.com and was registered NaN years ago.

Submitted URL: https://m.dagospia.com

The Cisco Umbrella rank of the primary domain is #212,833 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate news site with no detected threats.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No sensitive data collection forms
Meta tags align with legitimate news content
Low risk ranking (no high‑risk signals)
Domain age information unavailable

Details

Page Title

Dagospia - Notizie on line - News Italia - Gossip

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

healthcare medical

(86%)

Domain Information

Domain 'm.dagospia.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'm'. The registrable portion 'dagospia' spans 8 characters split between 4 vowels and four consonants. Segmentation suggests 3 words: da, gospi, a. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://m.dagospia.com

Page Load Overview

2.15s
Total Load Time
94
HTTP Requests
20
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-IT
Text Length:14,080 chars
Detector Agreement:60%

Website Classification

Primary Category

healthcare medical86% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
86%
adult content
45%
government public service
39%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1779.127.216.203Germany
713.32.121.49New York, New York, United States
AS16509AMAZON-02
713.33.52.91New York, New York, United States
AS16509AMAZON-02
718.173.205.54United States
AS16509AMAZON-02
7172.66.151.161United States
AS13335CLOUDFLARENET
799.84.149.163UnknownUnknown
7104.20.23.252UnknownUnknown
713.32.121.89UnknownUnknown
7142.251.140.162United States
AS15169GOOGLE
7216.58.206.40United States
AS15169GOOGLE
9412--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166C3DA62C1FA306B152380F9ECB0DD4B6E1FB43389974E55B66E9B49AF85FD00E07648

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:87hG6eJwHQhnsdCaoW6KA7DTidUJbezj6zRTNuzuuxQlZvp4s/HrjVl34dytuUE/:hs+nsEWmgjyhD7wqkPl9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:125022:xjCAUgAFR+IK25VJjpADgeoQAKISQ2QNToBCISQUDAACCYGriQsIgvApiEnIAq0igFRJgpiAEwBwAqUkWIbkla4rkBwBh4KU

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:ffffff0100000000
Perceptual Hash:f9cb863429cbe894
Difference Hash:cc2e3b9b9a9e1686
Wavelet Hash:ffffffff00000000
Color Hash:#2dd25e

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data