Security Scan Report: asbestsaneringjonkoping.se

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Submitted: Sep 25, 2026, 6:30:42 AMCompleted: Sep 25, 2026, 6:31:38 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 55%

3
Risk Score

Self-branded Swedish asbestos-removal business site with only contact forms and no credential/payment capture. No threat-intel, YARA, or IDS hits; risk stems solely from the very recent domain registration, so it stays at moderate risk.

Risk Factors
Very recently registered domain with no established ranking or reputation
Safety Factors
Site displays its own brand, not another organisation's identity
No credential, login, or payment fields anywhere on the page
No Indicators of Compromise, YARA malware patterns, or network IDS alerts
No cross-origin credential forms or credential exfiltration detected
Consistent, detailed business content (services, pricing, contact) typical of a real trade company
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

Asbestsanering Jönköping

Scan Type

public

Domain Name Analysis

You're looking at domain 'asbestsaneringjonkoping.se' on the Swedish country-code top-level domain (.se) and has no subdomain. Count 23 characters in 'asbestsaneringjonkoping' with eight vowels and 15 consonants. Splitting it apart reveals seven words: as, best, sane, ring, jon, ko, ping. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://asbestsaneringjonkoping.se

Page Load Overview

2.58s
Total Load Time
4.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:8,430 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service60% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
60%
blog personal website
56%
documentation technical
50%
healthcare medical
44%
adult content
26%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4185.189.49.130Stockholm, Stockholm County, Sweden
AS206170Yelles AB
3142.251.13.95Google · CDNUnited States
AS15169Google LLC
3142.251.14.97Google · CDNUnited States
AS15169Google LLC
33.5.218.83Aws · CLOUDStockholm, Stockholm County, Sweden
AS16509Amazon.com, Inc.
3142.251.110.95Google · CDNUnited States
AS15169Google LLC
3192.178.183.97Google · CDNUnited States
AS15169Google LLC
33.5.217.171Aws · CLOUDStockholm, Stockholm County, Sweden
AS16509Amazon.com, Inc.
33.5.217.242Aws · CLOUDStockholm, Stockholm County, Sweden
AS16509Amazon.com, Inc.
3142.251.20.94Google · CDNUnited States
AS15169Google LLC
334.160.81.0Google · CDNKansas City, Missouri, United States
AS396982Google LLC
4314--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A94309366B11102F7C27C4A5D5E1F6DC7219E082EF2766EAF9566925CFC63F20973208

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:OcQwhUhxMhUKJaSZNZzC8baJOmDHHRPt25caDEWV:OcQwhUhxMhUfWzCO+ZI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55511:BnkKAIXRsoBiIAFAUQYKQUImUCHQASjUFAENEQiVGCIMnlBBJoSFysAgEEEIJSgodkJdK0wZABiyDAAOKmWBzWCAjKcsFJLA

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:fd300000c7ffffff
Perceptual Hash:ea48c2a123399dbf
Difference Hash:c5e531950f322f0c
Wavelet Hash:fd00000083ffffe7
Color Hash:#6ce0b1

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data