Security Scan Report: avloppsrensningsigtuna.se

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Submitted: Sep 25, 2026, 7:00:14 AMCompleted: Sep 25, 2026, 7:01:14 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 55%

3
Risk Score

Newly registered Swedish drain-cleaning service with its own branding. No impersonation, no credential/payment forms, no threat-intel hits. Only a very new, unranked domain — weak prior; use caution.

Risk Factors
Very recently registered domain (0 days old) with no established reputation
Domain is unranked in Cisco Umbrella (not in top 1M)
Safety Factors
Self-branding: site displays its own brand matching its domain, no impersonation of another entity
No credential or payment forms — only email/phone contact forms
No Indicators of Compromise, no YARA malware matches, no IDS alerts
No cross-origin credential exfiltration or suspicious JavaScript behavior
Detailed, consistent, professional Swedish content with organisation references
Verdict names no specific threat, and DOM analysis found no password field (real or disguised) or payment field and no other hard signal — elevated score unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

Avloppsrensning Sigtuna

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'avloppsrensningsigtuna.se' is registered while skipping any subdomain. Count 22 characters in 'avloppsrensningsigtuna' holding seven vowels versus 15 consonants. Breaking it apart gives seven words: av, lopp, s, rens, ning, sig, tuna. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://avloppsrensningsigtuna.se

Page Load Overview

4.07s
Total Load Time
3.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:8,192 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service86% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
86%
entertainment media
85%
documentation technical
83%
real estate property
76%
blog personal website
69%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12185.189.49.130Stockholm, Stockholm County, Sweden
AS206170Yelles AB
3142.251.110.95Google · CDNUnited States
AS15169Google LLC
3142.251.14.97Google · CDNUnited States
AS15169Google LLC
316.12.11.38Aws · CLOUDStockholm, Stockholm County, Sweden
AS16509Amazon.com, Inc.
3142.250.154.95Google · CDNUnited States
AS15169Google LLC
3142.251.110.97Google · CDNUnited States
AS15169Google LLC
33.5.216.222Aws · CLOUDStockholm, Stockholm County, Sweden
AS16509Amazon.com, Inc.
3216.239.34.36Google · CDNUnited States
AS15169Google LLC
3142.251.110.94Google · CDNUnited States
AS15169Google LLC
334.160.81.0Google · CDNKansas City, Missouri, United States
AS396982Google LLC
4813--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1973319376B11102E7C27C4A9D5E1F6DC722AE081EF2766EAF9526925CFD63F20973204

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:OrQwhUhxMhUKJaSZNZzC8baJOmDHHRPt25caDT:OrQwhUhxMhUfWzCO+O

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:54787:WQDAlaQQ4N5BCNRECwESJACciJVgmbhgxqBwAQ2gEAoNEFwgAGhg8jAy3GZ4h8nQAmpxAEgSMIECACvpGMiVhwDIjDIiJEoA

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:9f060000dfffffff
Perceptual Hash:b42498f8cc4bc3db
Difference Hash:3fbccde7371b3b38
Wavelet Hash:07060000d3ffffde
Color Hash:#406ebf

Scan History

Scan history not available

Unable to load historical scan data