Security Scan Report: demopod.se

Redirected to:
https://www.diabetesinfucare.com/sv/kapa-slangarna?utm_source=demopod....
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Submitted: Oct 2, 2026, 6:00:05 AMCompleted: Oct 2, 2026, 6:01:10 AMpubliccompleted

This website contacted 47 IPs in 3 countries across 38 domains to perform 129 HTTP transactions. The main domain is diabetesinfucare.com and was registered 21 years ago.

Submitted URL: https://demopod.se

Effective URL:

https://www.diabetesinfucare.com/sv/kapa-slangarna?utm_source=demopod....
Redirected

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Legitimate Nordic Infucare marketing site for Omnipod/Dexcom; only lead-gen and newsletter forms to HubSpot/Salesforce, no credentials or payment, no threat-intel hits. Unknown final-domain age keeps it at low risk.

Risk Factors (2)
Final destination domain (diabetesinfucare.com) has unknown age and no reputation data
Cross-domain redirect from an unrelated entry domain (demopod.se)
Safety Factors (5)
No credential or payment form present (0 password, 0 payment fields)
Forms post to ranked, established marketing platforms (HubSpot, Salesforce)
Third-party scripts loaded from 8 top-1M ranked hosts
Content is coherent medical-device distributor marketing with proper consent language and cookie policy
No IoC, YARA, IDS, or credential-exfiltration signals
Domain age information unavailable

Details

Page Title

Kapa slangarna med Omnipod – Slanglös insulinpump

Scan Type

public

Domain Name Analysis

The domain 'demopod.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The core label 'demopod' covers 7 characters holding three vowels versus four consonants. Segmentation suggests two words: demo, pod. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://demopod.se

Page Load Overview

5.37s
Total Load Time
2.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:15,950 chars
Detector Agreement:80%

Website Classification

Primary Category

healthcare medical52% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
52%
government public service
30%
adult content
27%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
37199.60.103.228Cloudflare · CDNUnited States
AS209242Cloudflare London, LLC
2194.9.94.85Sweden
AS39570Loopia AB
23.5.122.119Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2104.16.5.65Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2151.101.129.155Fastly · CDNUnited States
AS54113Fastly, Inc.
2104.17.22.24Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.19.175.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.65.255.172Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.65.238.60Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.65.192.122Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
12947--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19EE30803A831A823046F95E851E06B4926F7D317D3428FD9F9ACC3E54FCED998A37259

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:OxJAa2hsB3igo8IMHHdoWPuvHHdoWPCwfVFXbYQ27At/:OxJAa2hssgo8I8mmwfVFrYO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:145516:AEAGELECqIgigMAxgQsMwINDhWoSggkSKkoIAyQgA4FClkooYCukTEgwaUjIWdE6AWCAKCNEJsAELCBjBVgFRRCBMUOVDZMH

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:3f3c00030bffffff
Perceptual Hash:8e07cef92931f0e2
Difference Hash:68606dfefb343736
Wavelet Hash:3c34000301dffff7
Color Hash:#642d86

Scan History

Scan history not available

Unable to load historical scan data