Security Scan Report: www.robertsfors.se

Redirected to:
https://www.robertsfors.se/
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Submitted: Jun 9, 2026, 6:33:46 PMCompleted: Jun 9, 2026, 6:34:58 PMpubliccompleted

This website contacted 2 IPs in 1 country across 2 domains to perform 46 HTTP transactions. The main domain is robertsfors.se and was registered 31 years ago.

Submitted URL: http://www.robertsfors.se

Effective URL:

https://www.robertsfors.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate municipal website with no phishing, malware, or scam indicators.

Safety Factors (5)
Established domain age
Brand matches domain
No forms collecting credentials
No malicious Indicators of Compromise
No JavaScript malware detections
Domain age information unavailable

Details

Page Title

Robertsfors kommun

Scan Type

public

Domain Name Analysis

The domain 'www.robertsfors.se' uses the Swedish country-code top-level domain (.se) with subdomain 'www'. Its registrable label 'robertsfors' stretches across 11 characters holding three vowels versus 8 consonants. Segmentation suggests 3 words: roberts, for, s. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.robertsfors.se

Page Load Overview

3.68s
Total Load Time
1.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:4,141 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service51% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
51%
healthcare medical
40%
documentation technical
38%
real estate property
33%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23185.140.117.158Stockholm, Stockholm County, Sweden
AS43065Nordlo Sodra Norrland AB
23185.84.52.19Sweden
AS41174SiteVision AB
462--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13E446010E16020FA233E856670E09A76572AFD12E8168DB3B1FFD55C4BC19AD1A7E70F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:J+/mdOBBdRkSEMYLZHFK2bYreJ3hrx9NMJRewo7Yx:POBBbkSKbYre2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:276964:BEEAkJQPIC6QNiAkFjpL4CADACijwBMAF0IEiEDBYugeMCcASGAEGYAEAUwL5iElBCAgrCCJBQqiACAqDUQYIG1gSCwUQcEB

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:7f00003c3c0cfff9
Perceptual Hash:9b0269b5dace2995
Difference Hash:f39af9697878c513
Wavelet Hash:ff00003c3c0cfff9
Color Hash:#d279a1

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data