Security Scan Report: smadjurkliniken.se

Bot Protection Detected

This website is protected by Cloudflare bot protection. The screenshot and page details below show the page as it was captured.

Submitted: Completed: publiccompleted
This website contacted 7 IPs in 1 country across 2 domains to perform 10 HTTP transactions. The main domain is smadjurkliniken.se.

Submitted URL: https://smadjurkliniken.se

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Very old domain (2009) hosting a sparse veterinary placeholder page matching its owner's other domains; no forms, no credential harvesting, and no threat-intel, YARA or IDS hits. Only weak signals present.

Risk Factors (2)
Displayed branding (DrVet.se) does not match the scanned hostname smadjurkliniken.se, though the page text attributes both domains to the same owner
Low business-legitimacy score (30/100) and no Cisco Umbrella ranking, likely due to a sparse one-page placeholder rather than wrongdoing
Safety Factors (5)
17-year-old established domain, minimal risk category
No credential or payment collection of any kind on the page
No external third-party script hosts and no cross-origin requests
Cloudflare 'Just a moment...' challenge seen only by the datacenter scanner — ordinary bot protection, not evidence of evasion given benign real content
No threat-intelligence, YARA, or network IDS detections
Domain age information unavailable

Details

Page Title

DrVet.se – For a better tomorowother network

Scan Type

public

Domain Name Analysis

The domain 'smadjurkliniken.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The registrable portion 'smadjurkliniken' spans 15 characters split between five vowels and 10 consonants. It segments into 5 words: s, mad, jur, kli, niken. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://smadjurkliniken.se

Page Load Overview

0.46s
Total Load Time
943 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:576 chars
Detector Agreement:67%

Website Classification

Primary Category

healthcare medical83% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
83%
adult content
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.21.77.130Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.21.24.110Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.67.208.139Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.151.4Google · CDNUnited States
AS15169Google LLC
1172.67.218.88Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
107--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14BD21B71633058BB26BBC3D7A51493184346EF43CE44E1E9B4DAC28454D6EE1AEB3F4A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:RvH+b0jBqb1wQPYF50h1MPSvZobwemlUVuXwamsYF50h1MPn24BjtkJ+b0vLBQ:Rv/Bqb1wQPYF50h1MPuZobwemlUVuXw/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28299:ghAApopIQlSK2WWQE5GAuYUwEMloCamLOVEWhwIhQgggEMCtgFAAIEBBiU0VjqgqZNiMFaggAAYhAAwVk4SIFJPJKMciAPEB

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:ffffffe7c3c3c3c3
Perceptual Hash:b3ce9d31269b8926
Difference Hash:608e0c8c8e9e9e9e
Wavelet Hash:b8c2c2c3c3c3c3c3
Color Hash:#d23d2d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data