Security Scan Report: svedberga.com

Redirected to:
https://svedberga.com/?syclid=dam0v0eochds7393liag
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Submitted: Sep 17, 2026, 4:04:19 PMCompleted: Sep 17, 2026, 4:05:45 PMpubliccompleted

This website contacted 31 IPs in 5 countries across 29 domains to perform 452 HTTP transactions. The main domain is svedberga.com and was registered 8 years ago.

Submitted URL: https://svedberga.com?syclid=dam0v0eochds7393liag

Effective URL:

https://svedberga.com/?syclid=dam0v0eochds7393liag
Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Swedish plant nursery e-commerce site with self-branding, no credential/payment forms, and no threat-intel, YARA, or Safe Browsing hits.

Safety Factors (5)
Established domain with 6-year registration history
Self-branding matches the domain, not impersonation
Phone number, Google/Trustpilot reviews, and physical business details present
Standard Shopify/e-commerce infrastructure and tracking resources
No malicious JavaScript behavior or credential exfiltration detected
Domain age information unavailable

Details

Page Title

Köp Växter Online – Dahlia, Träd, Häckar, Jord & Gödning | Svedberga – Svedberga Plantskola AB

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'svedberga.com' is registered with no subdomain. The core label 'svedberga' covers 9 characters split between 3 vowels and 6 consonants. Tokenizing the label suggests four words: s, ved, berg, a. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://svedberga.com?syclid=dam0v0eochds7393liag

Page Load Overview

17.76s
Total Load Time
8.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:19,844 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping56% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
56%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3223.227.38.65Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
1423.227.39.200Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
14192.178.183.94Google · CDNUnited States
AS15169Google LLC
14185.158.133.1Cloudflare · CDNFrankfurt am Main, Hesse, Germany
AS13335Cloudflare, Inc.
14199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
14185.41.148.1Cloudflare · CDNSweden
AS13335Cloudflare, Inc.
1420.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
1434.8.119.189Google · CDNKansas City, Missouri, United States
AS396982Google LLC
14150.171.109.194Azure · CLOUDUnited States
AS8075Microsoft Corporation
1434.160.147.240Google · CDNKansas City, Missouri, United States
AS396982Google LLC
45231--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CA9209521932D0B105D7152574AAF54EB9B8950DE386C858F3ECC7882F90BBB826FE1F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Af/4Ln9QHFJKgCUXoZmNWJrjkmF6c6dF6e35cg3xl6bf6JJ6HHQ6t0ZIQjmQkXgr:AfE9QTCUXoZoWJrjkmFFSFf35cg3HEMd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21255:UFQlUIiXJLgQCqFoBFB5ABAoL6SoBqBY8ggg6AAkkzYClYUEQwNYsUAOUIxg2UDCBTAdqrjAOKGoC6AQLWpkNHBCkRik2gAg

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:3e7fffffffffffff
Perceptual Hash:81010103077fffff
Difference Hash:c0c0000808000000
Wavelet Hash:3e7efee6223a0202
Color Hash:#c2d22d

Other Hashes

Crop Resistant:c0c0000808000000

Scan History

Scan history not available

Unable to load historical scan data