Security Scan Report: genusdebatten.se

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Submitted: Completed: publiccompleted
This website contacted 33 IPs in 3 countries across 30 domains to perform 90 HTTP transactions. The main domain is genusdebatten.se.

Submitted URL: https://genusdebatten.se

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Legitimate Swedish-language gender-debate forum/blog. Self-branded domain, no credential or payment-data harvesting, and no threat-intel, hunting rule, IDS, or Safe Browsing indicators.

Safety Factors (5)
Domain matches the site's own brand and is not impersonating another organisation.
No credential-harvesting or card-data collection fields are present.
PayPal form points to paypal.com for donations rather than collecting payment data on-site.
No malware, phishing, or abuse-reputation indicators were detected by the scanner.
Third-party resources are common infrastructure such as WordPress CDN assets, Gravatar, Google Fonts, and Google Translate.
Domain age information unavailable

Details

Page Title

Genusdebatten | där flera skribenter bjuder in till dialog om jämställdhet & könsfrågor

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'genusdebatten.se' is registered without a subdomain. The registrable portion 'genusdebatten' spans 13 characters containing five vowels alongside 8 consonants. Splitting it apart reveals 3 words: genus, de, batten. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Bibliotek Forums Postat av Precis som allting, även universum, har en början så har det också ett slut. Nu avslutar vi arbetet Kartläggning Kontakt Testa din politiska bildning = Regler GenusDeba...

Page Load Overview

4.69s
Total Load Time
2.9 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:14,308 chars
Detector Agreement:100%

Website Classification

Primary Category

forum community discussion94% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

forum community discussion
94%
social media network
75%
education learning
75%
government public service
64%
adult content
50%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
26205.196.211.70Hillsboro, Oregon, United States
AS26347New Dream Network, LLC
2192.178.183.95Google · CDNUnited States
AS15169Google LLC
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
2146.75.123.1Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2104.26.2.87Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.20.102Google · CDNUnited States
AS15169Google LLC
246.21.107.237Stockholm, Stockholm County, Sweden
AS42708Glesys AB
291.201.60.55Sweden
AS44136ODERLAND Webbhotell AB
276.223.54.146Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
9033--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18DF31AB24485A937251BE7CAA4A0B37BC0FF4315CE410596F5F927A4FA49CF4E4A311E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:dccHNdSzCHxP4u6iAvBVBz1lF2Tg6HM75:BSBn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:167923:FIM7HBFUBBIgdwIkYMyIiISpwMMiBAjA4OGRQjCUBSMKChAoHGIATI4wgjwAgSgKQ0EDMFgPiDIEEzoioCggwOAAyMi5EUEY

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:3c3c3c3c3c3c3c3c
Perceptual Hash:c23833cdce9a6c6c
Difference Hash:dcd4d4dcd4c4c8d4
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:16000e00000

Scan History

Scan history not available

Unable to load historical scan data