Security Scan Report: australienblogg.se

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Submitted: Completed: publiccompleted
This website contacted 17 IPs in 3 countries across 11 domains to perform 94 HTTP transactions. The main domain is australienblogg.se.

Submitted URL: https://australienblogg.se

AI Security Verdict

Moderate Risk

Confidence: 68%

5
Risk Score

Legitimate Swedish travel blog whose content appears compromised with injected pharma spam links (viagra keywords, outbound link to a threat-intel-flagged pharmacy domain). No forms, impersonation or malware; avoid the spam links.

Risk Factors (2)
Injected pharmaceutical spam keywords and outbound link to viagra-online-pharmacy.net indicate the blog's content/template is likely compromised for SEO spam injection
Outbound link to a domain reported in threat intelligence (single-source, unverified)
Safety Factors (5)
Self-branding detected: title and meta description match the domain, no impersonation of another entity
No password, disguised-password or payment fields; the only form is an on-site search box posting to its own domain
No JavaScript malware patterns, no high-precision YARA hits, no network IDS alerts
Genuine long-form personal blog content with normal travel narrative and dates
Third-party network contacts are established ad/analytics and font providers (Google)
Domain age information unavailable

Details

Page Title

Min Australien blogg

Scan Type

public

Domain Name Analysis

Domain 'australienblogg.se' uses the Swedish country-code top-level domain (.se). Count 15 characters in 'australienblogg' with 6 vowels and nine consonants. Segmentation suggests 4 words: austral, ien, blog, g. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://australienblogg.se

Page Load Overview

7.48s
Total Load Time
7.3 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:9,347 chars
Detector Agreement:60%

Website Classification

Primary Category

blog personal website54% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

blog personal website
54%
adult content
50%
healthcare medical
49%
travel tourism
43%
real estate property
42%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1493.188.2.51Sweden
AS39570Loopia AB
5192.178.183.95Google · CDNUnited States
AS15169Google LLC
593.188.2.52Sweden
AS39570Loopia AB
5142.250.154.155Google · CDNUnited States
AS15169Google LLC
5188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
535.157.179.156Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
5142.250.154.94Google · CDNUnited States
AS15169Google LLC
5142.251.20.154Google · CDNUnited States
AS15169Google LLC
5142.251.13.132Google · CDNUnited States
AS15169Google LLC
5188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9417--

Detected Technologies15

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1868384AD50085A3E9113878CF0BB7B05A6574CC6EA6FBD21DBA43B6C7610DE17332D4A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Jo2x/Ao2qZDfBq29f6q+wjDq+cnmqqf9/QqoBbQqJ+5H0sTqVR53QqehXLqgzgu+:u2x/NhAo1138

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86739:ETAiCTBAAIBxgVjjhjHFShABkdIkYjYxIECJItIhrSGORmkYABlASwQGCEx80vUWWCEzJpgcAidCRJtjAhCBowOhwhEhQgUk

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:fffffbf3c7c7c7c7
Perceptual Hash:b0cf9232cd35cd32
Difference Hash:4c4916169e9d9dae
Wavelet Hash:e6bdc3c343c3c342
Color Hash:#c7e06c

Scan History

Scan history not available

Unable to load historical scan data