Security Scan Report: greensteppublishing.se

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Submitted: Completed: publiccompleted
This website contacted 3 IPs in 2 countries across 4 domains to perform 54 HTTP transactions. The main domain is greensteppublishing.se.

Submitted URL: https://greensteppublishing.se

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Swedish publishing house's own site with matching self-branding, coherent book-shop content, no forms, and no threat-intelligence, hunting rule or IDS hits. Nothing malicious observed.

Safety Factors (5)
Domain matches the displayed own brand (self-branding, not impersonation)
No forms of any kind, so no credential or payment harvesting surface
No Indicators of Compromise, hunting rule, kit-roster or IDS signals
Consistent, substantive site content across multiple pages/sections
Only well-known WordPress/Jetpack third-party script hosts
Domain age information unavailable

Details

Page Title

Startsida - Green Step Publishing

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'greensteppublishing.se' is registered without a subdomain. Its registrable label 'greensteppublishing' stretches across 19 characters holding 6 vowels versus 13 consonants. Tokenizing the label suggests 3 words: green, step, publishing. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://greensteppublishing.se

Page Load Overview

2.78s
Total Load Time
1.4 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv-SE
Text Length:1,860 chars
Detector Agreement:80%

Website Classification

Primary Category

education learning70% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
70%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1893.188.2.56Sweden
AS39570Loopia AB
18192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
18192.0.77.48San Francisco, California, United States
AS2635Automattic, Inc
543--

Detected Technologies14

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T151E3082262745CF836EF9BA5984C7348749AD6018A4652E5F4F6C09CB4CCDBB29E730F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:oX3UqAGAI+AcMARIyjLZ4bwemlUVugZm8TZIUgtJnb5QR3YS5ye+HFBY/CiI2sUT:tLy43LZ4bwemlUVugZm8TZIUgtJnb5QB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:150132:gSMpoQpRbsBAGFBCIAKQWQAMKgSDSNogYErIMCFAwKMDISLk1Ehig1iIHEUcCIKguoJJWDFCSwJHwEIVo9yAgTAglEEcoLGE

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:0004062e2e360000
Perceptual Hash:92966969b7969632
Difference Hash:99cdecccccecd541
Wavelet Hash:00053f7f7f7f0501
Color Hash:#bf4040

Scan History

Scan history not available

Unable to load historical scan data