ScanMalware.com

Security Scan Report: venlafaxin.se

Redirected to:
https://www.venlafaxin.se/
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/605eed54-b28e-4b1a-a16a-295e32904bebDomain and IP registration (RDAP)/api/v1/rdap/605eed54-b28e-4b1a-a16a-295e32904bebHow often this domain was scanned/api/v1/domain/stats/venlafaxin.seScan history for this domain/api/v1/domain/history/venlafaxin.se?limit=15
This website contacted 35 IPs in 5 countries across 26 domains to perform 198 HTTP transactions. The main domain is venlafaxin.se.

Submitted URL: https://venlafaxin.se

Effective URL:
https://www.venlafaxin.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Site is a legitimate informational page about Venlafaxin (antidepressant) in Swedish. Domain is over 2 years old, no phishing, malware, or credential harvesting detected.

Safety Factors (5)
Established domain (1048 days old)
Self-branding with matching domain
No credential/payment forms
No threat intelligence matches
No malware or IDS alerts
Domain age information unavailable

Details

Page Title

Venlafaxin – Du blir tryggare med rätt kunskap om biverkningar, vikt och risker med alkohol

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'venlafaxin.se' is registered with no subdomain. The core label 'venlafaxin' covers 10 characters containing four vowels alongside 6 consonants. Segmentation suggests four words: ven, la, fax, in. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://venlafaxin.se

Page Load Overview

4.45s
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:10,500 chars
Detector Agreement:75%

Website Classification

Primary Category

healthcare medical57% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
57%
adult content
34%
government public service
30%
blog personal website
28%
corporate business
27%

Detected Features

Articles
Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2893.188.2.51Sweden
AS39570Loopia AB
5142.251.14.154Google · CDNUnited States
AS15169Google LLC
5192.178.183.97Google · CDNUnited States
AS15169Google LLC
5192.0.77.48San Francisco, California, United States
AS2635Automattic, Inc
5142.251.14.113Google · CDNUnited States
AS15169Google LLC
5216.239.34.36Google · CDNUnited States
AS15169Google LLC
5142.251.110.95Google · CDNUnited States
AS15169Google LLC
5142.251.13.94Google · CDNUnited States
AS15169Google LLC
5142.251.14.157Google · CDNUnited States
AS15169Google LLC
5142.251.110.132Google · CDNUnited States
AS15169Google LLC
19835--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11F34F82BF5E21A33D2AA86E49177777C6B3C891D8FC10CB46853277E474AEE7028518D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:odCbQnN9ZL+d5okM9g0Tr9okF9g3Tryokk9gATr5cY/LxY9x8xeBt/cB:YnrZKdqkIgQrekDgDrbkwgsrCY/LxwL8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:241091:IO1Ot5BqIADKEaASkLcgFfSpkAwHkAxOkAIZGxARIEAJjSMCIMgTACIiZivTioIQYicAIqoYAUManQxR5UEg1HEAJSBpYSjp

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:8101ffffffffd3db
Perceptual Hash:ac3a6d3c98c592cd
Difference Hash:3717c0f01e2c96b2
Wavelet Hash:8000ff7f0d8f435b
Color Hash:#931f4e

Other Hashes

Crop Resistant:3717c0f01e2c96b2,51262a4180414181

Scan History

Scan history not available

Unable to load historical scan data