Security Scan Report: kallerholm.se

Redirected to:
https://www.kallerholm.se/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 9 IPs in 2 countries across 9 domains to perform 97 HTTP transactions. The main domain is kallerholm.se.

Submitted URL: https://kallerholm.se

Effective URL:
https://www.kallerholm.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Legitimate Swedish craft-course and shop site with matching self-branding, no credential/payment forms, and no threat-intelligence or malware signals.

Safety Factors (5)
Self-branding matches the domain and page content.
No credential or payment fields were verified on the page.
No indicators of compromise or malicious JavaScript were detected.
Legal pages are present.
Standard hosting and third-party infrastructure are in use.
Domain age information unavailable

Details

Page Title

Home | GlasKul

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'kallerholm.se' is registered. The registrable portion 'kallerholm' spans 10 characters containing three vowels alongside 7 consonants. It segments into 3 words: k, aller, holm. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kallerholm.se

Page Load Overview

2.12s
Total Load Time
4.2 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:45%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:1,138 chars
Detector Agreement:67%
Language mismatch: Declared as en but detected as sv

Website Classification

Primary Category

social media network81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
81%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17199.34.228.164United States
AS27647Weebly, Inc.
10146.75.121.46Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1032.188.197.229Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
1034.8.226.60Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1074.115.51.7United States
AS27647Weebly, Inc.
1074.115.51.28United States
AS27647Weebly, Inc.
103.233.158.25Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1074.115.51.6United States
AS27647Weebly, Inc.
1074.115.51.29United States
AS27647Weebly, Inc.
979--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E92408D66518069D9157CAACFB2FFF09131FB25BA6448984758EC1688BCF8E2F72311C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:xLTkur/S1/pAI1a21aCWZjeMMD0/gX+hZ0RQ7HYoqAN0DnxHmn2U7ngDkq8pf9zX:xNU1a21a1H30RQ7H/gDn98cFzjdgLj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:219816:QCACwACEBrgWCIJG5APUJIxU8EECwIFCgAkKSkBKAqpSkAoQzYOGhBAARQUBCEQBIRVlBmlMUIBAoIIRCANwKRBFDUhG6mAY

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:ff9800000000ffff
Perceptual Hash:8e4bbdbec0e326c0
Difference Hash:6833c3d3e5253a30
Wavelet Hash:ff9d00001005ffff
Color Hash:#79bed2

Scan History

Scan history not available

Unable to load historical scan data