Security Scan Report: uterumochfonster.se

Redirected to:
https://xn--uterumochfnster-itb.se/
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Submitted: Sep 27, 2026, 5:20:18 PMCompleted: Sep 27, 2026, 5:21:59 PMpubliccompleted

This website contacted 44 IPs in 3 countries across 25 domains to perform 281 HTTP transactions. The main domain is xn--uterumochfnster-itb.se and was registered 22 years ago.

Submitted URL: https://uterumochfonster.se

Effective URL:

https://xn--uterumochfnster-itb.se/
Redirected

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Legitimate Swedish construction business site; the domain redirect is an ordinary switcher to the IDN version of the same name. No forms, no impersonation, no threat-intel or malware signals.

Safety Factors (5)
Entry domain uterumochfonster.se is well-established (registered 2020, ~6 years old)
Self-branding consistent across title, meta, and OG tags; matches the domain and business identity
Content reads like a genuine local trade/business site with verifiable contact details
No credential, payment, or download mechanisms present
No Indicators of Compromise, malware, or network alerts
Domain age information unavailable

Details

Page Title

Byggfirma Göteborg | Uterum, Fönsterbyte, Takfönster & Glasräcke

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'uterumochfonster.se' is registered and has no subdomain. The core label 'uterumochfonster' covers 16 characters split between 6 vowels and 10 consonants. Breaking it apart gives 5 words: ute, rum, och, fo, nster. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://uterumochfonster.se

Page Load Overview

35.07s
Total Load Time
15.0 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:48%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:6,510 chars
Detector Agreement:80%
Language mismatch: Declared as en-US but detected as sv

Website Classification

Primary Category

blog personal website98% confidence
Type: spa
Method: ml+structural

All Detected Categories

blog personal website
98%
real estate property
95%
government public service
83%
documentation technical
80%
adult content
68%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23104.21.13.50Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6142.251.13.95Google · CDNUnited States
AS15169Google LLC
6192.178.183.97Google · CDNUnited States
AS15169Google LLC
654.75.207.84Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
6157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
63.174.46.85Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6142.251.20.94Google · CDNUnited States
AS15169Google LLC
6162.159.138.60Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
699.80.139.86Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
28144--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T104842CA17A902479227F03EFE513760C609B9AB7DA5B55E5F0FEC05483E3FE13292219

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:5dHPWiKK+HBnh/wHI4f0E6mdJeOjW/XDEN8:7H0sEEG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:372261:gKCbikY0vEhaIAuNmJxAGIACRlCSFBogQGXGzM0Cd4qoZRCAJEsxhKQCsAAAFKp2gYAYkAiUAARBMAWMYPoQtEEEAjE5ARCS

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:0000ff7f1b190f1f
Perceptual Hash:a9765458adb7a494
Difference Hash:9429ef6bf3f1ddf6
Wavelet Hash:0000ffff1b190f1f
Color Hash:#8f1f93

Scan History

Scan history not available

Unable to load historical scan data