Security Scan Report: getgeek.se

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Submitted: Oct 3, 2026, 3:10:37 PMCompleted: Oct 3, 2026, 3:11:15 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Self-branded Swedish IT services site with no forms, no impersonation and no threat-intel, YARA or IDS hits. Unknown .se domain age is neutral; nothing malicious observed.

Safety Factors (5)
Self-branding detected: title/meta brand matches the domain
Zero credential or payment collection surfaces on the page
No threat-intelligence matches against the page or its resources
All scripts are same-origin; no third-party script hosts
Physical business address and Swedish company registration number displayed
Domain age information unavailable

Details

Page Title

GetGeek – Fullständig IT-trygghet

Scan Type

public

Domain Name Analysis

The domain 'getgeek.se' uses the Swedish country-code top-level domain (.se) with no subdomain. Count 7 characters in 'getgeek' with three vowels and 4 consonants. Segmentation suggests two words: get, geek. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://getgeek.se

Page Load Overview

1.99s
Total Load Time
554 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv-SE
Text Length:2,302 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
89%
government public service
65%
technology software
40%
documentation technical
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1794.142.251.138Sweden
AS209659GetGeek AB
171--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T101B3FA62629048FD36DF9768662CA70CB30AE901CB465FD6F0B9C154A2CCD9658F7B0F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OGeJ+pi36DdXELLdhaG5iqypfwN0BSMN45IYtNN5oJ5VMESnICiv+QzrgPQzrpge:OGeJopMYYDnICG+QzrgPQzrpuz3Ef

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:109664:QwBkQQNDKkkICrG0AREQIgARFApgAwCAEslgGYBsQLCAYheAJh4NBzAcwnNpgCgDAQAByAYgVsXAyEIFpFSWsBRFYQIicEUB

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:ff000018000000ff
Perceptual Hash:8854b725dd0f8f62
Difference Hash:969561713173492b
Wavelet Hash:ffff1119190000ff
Color Hash:#785b3a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data