Security Scan Report: digitrend.it

Redirected to:
https://www.digitrend.it/
Site favicon
Submitted: Sep 17, 2026, 5:41:09 PMCompleted: Sep 17, 2026, 5:41:58 PMpubliccompleted

This website contacted 37 IPs in 4 countries across 35 domains to perform 135 HTTP transactions. The main domain is digitrend.it and was registered 21 years ago.

Submitted URL: https://digitrend.it

Effective URL:

https://www.digitrend.it/
Redirected

The Cisco Umbrella rank of the primary domain is #924,366 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Established Italian B2B tech company (self-branded digitrend.it) publishing products for publishers. No credential/payment forms, no IoC, YARA, or IDS hits. Minor eval/right-click noise from third-party scripts. Low risk.

Risk Factors
8 eval() calls present, likely from third-party marketing/tag scripts (HubSpot, Quantcast)
Right-click / context menu disabled via JavaScript (weak, common on publisher sites)
Safety Factors
Established domain over 10 years old
Site presents its OWN brand (Digitrend) matching its domain — no impersonation
Physical address visible; standard business contact and demo forms only
No credential, password, or payment fields on the page
No threat-intelligence, YARA, IDS, or Safe Browsing matches
Domain age information unavailable

Details

Page Title

Home - Digitrend | Portiamo gli editori nel futuro

Scan Type

public

Domain Name Analysis

Domain 'digitrend.it' uses the Italian country-code top-level domain (.it) and has no subdomain. Count 9 characters in 'digitrend' split between 3 vowels and 6 consonants. Splitting it apart reveals 2 words: digit, rend. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://digitrend.it

Page Load Overview

6.05s
Total Load Time
9.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:it-IT
Text Length:15,828 chars
Detector Agreement:80%

Website Classification

Primary Category

news media journalism83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
83%
documentation technical
70%
technology software
55%
corporate business
27%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2754.36.60.201France
AS16276OVH SAS
3142.250.154.95Google · CDNUnited States
AS15169Google LLC
35.9.98.45Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
3104.18.39.181Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.17.204.31Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
35.135.21.193France
AS16276OVH SAS
3104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.65.208.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.64.148.75Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.0.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
13537--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19FB421E7C2823B3CF4DB901AF255367CF23BD81A4F07F5F9AA46126185C71EA3261A54

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:5RuKHsSNLtxdZqHsSNLtxdNHsSNLtxdQHsSNLtxdmHsSNLtxdiHsSNLtxdiCdTuc:jMCdTZNbP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:522943:YSrXGBJAMQALEAQEOmPAGyhRUAATFwSECQGFChBObBEghJEAQQVrCJRBYOuqsUgIGhFCwRDtnqJUppCmmGIAJiAgDMDGiDVA

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:00000000ffffffff
Perceptual Hash:8802b3fd3265dd9a
Difference Hash:95e1e18539361618
Wavelet Hash:00000000ffffffff
Color Hash:#8fd279

Scan History

Scan history not available

Unable to load historical scan data