Security Scan Report: dkbonline06.sviluppo.host

Redirected to: https://pixeltopress.com/subscribe-to-newsletter/

Submitted: Dec 16, 2025, 2:17:52 PMCompleted: Dec 16, 2025, 2:18:52 PMpubliccompleted
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Summary

This website contacted 26 IPs in 3 countries across 15 domains to perform 132 HTTP transactions. The main domain is pixeltopress.com and was registered NaN years ago.

Submitted URL: https://dkbonline06.sviluppo.host/de/index.php

Effective URL: https://pixeltopress.com/subscribe-to-newsletter/Redirected

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Suspicious newsletter page with unexpected password field; proceed carefully.

Risk Factors
Password field present on a form that should only collect name and email
Initial domain is unranked and unrelated to the final brand
Safety Factors
Final destination domain (pixeltopress.com) is a legitimate business site
Domain age of the initial host is over 13 years, indicating an established registration
Domain age information unavailable

Details

Page Title

Subscribe to Newsletter • Pixel to Press : Logo & Website Designer in Wenatchee, WA

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(74%)

Domain Information

The domain 'dkbonline06.sviluppo.host' uses the .host top-level domain; it also runs on subdomain 'dkbonline06'. The registrable portion 'sviluppo' spans 8 characters holding 3 vowels versus five consonants. It segments into 4 words: s, vil, up, po. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dkbonline06.sviluppo.host/de/index.php

Page Load Overview

6.24s
Total Load Time
132
HTTP Requests
15
Domains
2.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:1,308 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping74% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
74%
social media network
68%
blog personal website
47%
adult content
36%
corporate
35%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7142.250.185.98United States
AS15169GOOGLE
5157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
5151.101.194.159San Francisco, California, United States
AS54113FASTLY
5142.251.140.164United States
AS15169GOOGLE
5216.58.206.65United States
AS15169GOOGLE
5192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
5216.58.206.67United States
AS15169GOOGLE
5172.217.18.3United States
AS15169GOOGLE
523.45.237.21Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
5216.239.34.36United States
AS15169GOOGLE
13226--

Detected Technologies6

WordPressv6.8.3
100%
JQueryv2.9.2
100%
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AFF31C73A540523A036793D2F6E7F7086239C721DA4698D4B2FC01BF47CDAE8069A75E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:gIwSiqjuk4wkKka/k4KOEV/ctqCR/+CbO0H6ZdG411f/+kUkc6drjQGPHtBb/AWZ:j9iNYVLULV/ctqATt6HgUo1s/G1uEmd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:164498:gDAg5KBjKorqkMMghIAAEEsAUDEATCKTSRJ0pMBADCCzAFoBAhOgPBgNAABURwBF9LdILSJMFQBFQMRRB9TUnGmDQQoBFSTV

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:00fdffffffff0000
Perceptual Hash:ead24af838c3b4a5
Difference Hash:11090c20160f6131
Wavelet Hash:0000ffffffff0000
Color Hash:#79b3d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data