Security Scan Report: dinvetgbg.se

Redirected to:
https://www.dinveterinargoteborg.se/
Site favicon
Submitted: Oct 1, 2026, 4:10:15 PMCompleted: Oct 1, 2026, 4:11:29 PMpubliccompleted

This website contacted 40 IPs in 3 countries across 27 domains to perform 218 HTTP transactions. The main domain is dinveterinargoteborg.se and was registered 1 year 10 months ago.

Submitted URL: https://dinvetgbg.se

Effective URL:

https://www.dinveterinargoteborg.se/
Redirected

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Self-branded Göteborg veterinary clinic with real addresses and zero forms; the lone threat-intel hit is a generic abuse tag on an unrelated third-party IP. No phishing or malware evidence.

Safety Factors (5)
No credential, login, or payment forms anywhere on the page
Self-branded clinic content with physical addresses, opening hours, and matching email domain
Final destination is the same organisation's own domain, not a third-party brand
ML classifier: healthcare medical (95%), blog personal website (92%) — consistent with a real clinic site
No YARA malware, no IDS alerts, no Safe Browsing hits, no credential exfiltration
Domain age information unavailable

Details

Page Title

Din veterinär Göteborg | Privat oberoende klinik

Scan Type

public

Domain Name Analysis

The domain 'dinvetgbg.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The second-level label 'dinvetgbg' is 9 characters long containing two vowels alongside seven consonants. Word splitting yields 5 words: d, in, vet, gb, g. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dinvetgbg.se

Page Load Overview

4.77s
Total Load Time
3.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:3,987 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical95% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
95%
blog personal website
92%
cryptocurrency blockchain
51%
news media journalism
40%
adult content
38%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23162.159.143.12Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
593.188.2.56Sweden
AS39570Loopia AB
565.8.131.97Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
565.8.131.125Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
534.49.229.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
532.199.2.22Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
534.149.206.255Google · CDNKansas City, Missouri, United States
AS396982Google LLC
5151.101.194.217Fastly · CDNUnited States
AS54113Fastly, Inc.
546.224.104.82Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
5167.233.8.77Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
21840--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DFF47D3056041C3E8A9B11ED7A52BA0831A0541BD999463FF9FC697C3FE3DE92297327

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:MYdzcvhFnEbX8C6EiuTi8U+IVD4dQsQ4cE4xQrDOABr0TV:Ld628C6huegg4dQsQ4Kaw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:751564:MEVBIHyGpYAqI68ANWAIuZSz8LAFBVpCDc6EUVOCCwIEVxCCAwGYRXSUFHJVBk7QMAGIAAHE3ECoxgDojGkAdAReCW9AADJN

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:ff08000000c3ffff
Perceptual Hash:e84b95a5c6ea781a
Difference Hash:a3b2919585861636
Wavelet Hash:ff1e000000c3ffff
Color Hash:#8453ac

Scan History

Scan history not available

Unable to load historical scan data