Security Scan Report: splitstockholm.se

Redirected to:
https://www.splitstockholm.se/
Site favicon
Submitted: Oct 1, 2026, 11:20:34 PMCompleted: Oct 1, 2026, 11:21:59 PMpubliccompleted

This website contacted 30 IPs in 3 countries across 22 domains to perform 172 HTTP transactions. The main domain is splitstockholm.se and was registered 11 years ago.

Submitted URL: https://splitstockholm.se

Effective URL:

https://www.splitstockholm.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 93%

1
Risk Score

Swedish full-service digital agency's own site on an established 5-year-old domain. Self-branded, contact form only, no credential/payment capture and no threat-intel, YARA or IDS hits. Safe.

Safety Factors (6)
Established 5-year-old domain
Self-branding consistent with domain name
Contact form only — no password, credential or payment fields
Visible physical address, phone number and business email
No threat-intel, YARA or network IDS detections
Cross-origin requests limited to standard analytics/consent/CDN services
Domain age information unavailable

Details

Page Title

Full-service digital agency in Stockholm | SPLIT Stockholm

Scan Type

public

Domain Name Analysis

Domain 'splitstockholm.se' uses the Swedish country-code top-level domain (.se) without a subdomain. Count 14 characters in 'splitstockholm' split between three vowels and eleven consonants. Tokenizing the label suggests two words: split, stockholm. Median word length comes out to 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://splitstockholm.se

Page Load Overview

23.17s
Total Load Time
22.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:4,502 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software41% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
41%
corporate
35%
government public service
32%

Detected Features

Comments
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
27198.185.159.144Squarespace · CLOUDNew York, New York, United States
AS53831Squarespace, Inc.
5198.185.159.145Squarespace · CLOUDUnited States
AS53831Squarespace, Inc.
5184.24.77.165Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5146.75.120.237Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
534.160.236.44Google · CDNKansas City, Missouri, United States
AS396982Google LLC
5146.75.120.238Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5142.250.154.97Google · CDNUnited States
AS15169Google LLC
5157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
5184.24.77.169Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5172.64.149.114Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17230--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19584F7A6A0702476015B76F0929E371E5A73E323DAD94FC4F4EC88A45FCAFE21C53259

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:GcG14Q/0NGCOsDWf33GMg8fq/B239KvOqhZb6hDGukr5FSSdK5MxKnjYc0ucnMCO:CXiMg8faBBuNMxKnjYc0uc5Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:391798:IkEKOIQ4MAoMAKJkQEQIim0gQNkcCga0BU+QwGrFamMWBgdwCgwfcABSJdAiA0CSAFLCMIWBJAUOFHEIMTRRiBAAyYCcBJDY

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:f7f7c7e3c7e38100
Perceptual Hash:a6a55e855fa55099
Difference Hash:2c8d8f8e0b8f2f29
Wavelet Hash:f7f7c7c3c3630100
Color Hash:#2d8649

Scan History

Scan history not available

Unable to load historical scan data