Security Scan Report: cleanandfresh.se

Redirected to:
https://www.cleanandfresh.se/
Site favicon
Submitted: Sep 30, 2026, 4:00:12 AMCompleted: Sep 30, 2026, 4:00:50 AMpubliccompleted

This website contacted 11 IPs in 2 countries across 5 domains to perform 23 HTTP transactions. The main domain is cleanandfresh.se and was registered 18 years ago.

Submitted URL: https://cleanandfresh.se

Effective URL:

https://www.cleanandfresh.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Established 4-year-old Swedish cleaning company (Clean & Fresh) with its own brand matching the domain. Only a normal contact/booking form, no credential or payment fields, and no threat-intel, malware or IDS signals.

Safety Factors (5)
Domain operating for over 4 years (registered 2022-05-17)
Own-brand self-branding matches the domain (cleanandfresh.se)
No credential, password or payment fields anywhere on the page
No threat-intelligence, YARA, kit-roster or network IDS hits
Legitimate cookie-consent and contact/booking functionality typical of a real service business
Domain age information unavailable

Details

Page Title

städservice.com

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'cleanandfresh.se' is registered. The second-level label 'cleanandfresh' is 13 characters long holding 4 vowels versus nine consonants. Splitting it apart reveals 3 words: clean, and, fresh. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cleanandfresh.se

Page Load Overview

5.31s
Total Load Time
669 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:2,957 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as sv

Website Classification

Primary Category

real estate property92% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

real estate property
92%
corporate business
83%
blog personal website
78%
government public service
67%
finance banking
61%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
318.185.25.67Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
23.125.172.46Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
213.226.247.95Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2143.204.181.106Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
23.73.27.108Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
23.79.173.192Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
213.226.247.155Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
213.226.247.7Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
213.226.247.105Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2311--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B743B66A80243C7F52A304F3F85427CE3AFC65A2F6964C50F0BF4A5847C9DC96A2757A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:yewMFRJLY1REK8cHWtP+hgv+7wYy99j7iVVm6ZWidCvR:yTMF3wO+n79ElSM6di

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55890:EBiNFghDIZOQKIAUDFQWRgqVDRYpJGcIKBMV6Ki0GkyCCgMikAiUpoA4OBvMEsBQGZTcIoGBggAwSiUAFkICABECKQCoLJwQ

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:0000ffffffffff00
Perceptual Hash:b44934c916e997f2
Difference Hash:3131080004000d8c
Wavelet Hash:00000cffffffc700
Color Hash:#d22d5c

Scan History

Scan history not available

Unable to load historical scan data