Security Scan Report: svensexa-stockholm.se

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Submitted: Sep 29, 2026, 2:50:39 AMCompleted: Sep 29, 2026, 2:51:57 AMpubliccompleted

AI Security Verdict

Safe Website

Confidence: 86%

1
Risk Score

Long-established Swedish bachelor-party tips site with no forms, no impersonation and no threat-intel, YARA or IDS hits. Related-domain hidden links are an SEO tactic, not user-facing risk.

Safety Factors (5)
Established domain with 18 years of history
No credential or payment collection of any kind
No brand impersonation — site promotes only its own brand
Clean threat-intelligence, YARA, IDS and JavaScript behavioral results
Third-party scripts are limited to ranked WordPress/CDN hosts (wp.com, gstatic)
Domain age information unavailable

Details

Page Title

Svensexa Stockholm - Tips och aktiviteter för Svensexa - Svensexa-stockholm.se

Scan Type

public

Domain Name Analysis

You're looking at domain 'svensexa-stockholm.se' on the Swedish country-code top-level domain (.se) and has no subdomain. The second-level label 'svensexa-stockholm' is 18 characters long containing 5 vowels alongside twelve consonants, plus one hyphen. Splitting it apart reveals four words: sven, sex, a, stockholm. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://svensexa-stockholm.se

Page Load Overview

31.71s
Total Load Time
2.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv-SE
Text Length:18,380 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service96% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
96%
blog personal website
95%
adult content
95%
entertainment media
92%
education learning
84%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2193.188.2.51Sweden
AS39570Loopia AB
1693.188.2.54Sweden
AS39570Loopia AB
16192.0.77.37San Francisco, California, United States
AS2635Automattic, Inc
16192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
16192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
16142.251.127.94Google · CDNUnited States
AS15169Google LLC
1016--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18A04D876F4100077A26B2BEC9255AE0C61FBDB88EBC7D75974EDC19A53C1D9BA032318

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:U67fck75W+Fw+eWjJ7PpsnXLXB5GbMNRMA/M/fcMYQD0Ym4LkK7IGNFqMjkNoUIx:U6N75W+Fw+eWjJ7Ppsn7JJY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184256:AjDxDhTWEBBNwLEwcIdQATjRAwfwcoQQCKEJHQgICYlWDLUWggC8SBogAEBiKAYWAOAUQFTYoARAwh0MrCEJmAACsSAPocIo

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:1fff0f477f3f1c00
Perceptual Hash:90b37fcf00313b1e
Difference Hash:7c75bdccecf234f4
Wavelet Hash:1fff0f47763f0000
Color Hash:#ac539c

Scan History

Scan history not available

Unable to load historical scan data