Summary
This website contacted 14 IPs in 2 countries across 2 domains to perform 50 HTTP transactions. The main domain is laholm.se and was registered NaN years ago.
Submitted URL: https://www.laholm.se/
AI Security Verdict
Safe Website
Confidence: 96%
1
Risk Score
Legitimate municipal website with no phishing or malware indicators.
Safety Factors
Well‑established domain registration date (1995‑04‑12)
Absence of malicious Indicators of Compromise
No login or payment forms present
Standard hosting without suspicious services
Domain age information unavailable
Details
Page Title
Laholms kommun - Laholms kommun
Scan Type
public
Language
🇸🇪
(80% confidence)Swedish
Category
education learning
(92%)Screenshot

Page Load Overview
3.02s
Total Load Time
50
HTTP Requests
2
Domains
468 KB
Total Size
Language Analysis
Primary Language
🇸🇪Swedish
Code: svConfidence:80%
Script:Latin
Direction:ltr
Detection Details
Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:10,158 chars
Detector Agreement:100%
Website Classification
Primary Category
education learning92% confidence
Type: spa
Method: ml+structural
All Detected Categories
education learning
92%
adult content
68%
government public service
56%
Detected Features
Search
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 3 | 195.181.175.41 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 3 | 195.181.170.19 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 3 | 185.84.52.157 | Sweden | AS41174SiteVision AB |
| 3 | 185.24.134.203 | Stockholm, Stockholm County, Sweden | AS48579ELASTX AB |
| 3 | 2a02:6ea0:c700::19 | Germany | Unknown |
| 3 | 212.102.56.178 | Germany | Unknown |
| 3 | 2a02:6ea0:c700::11 | Germany | Unknown |
| 3 | 79.127.216.203 | Germany | Unknown |
| 3 | 79.127.211.90 | Germany | Unknown |
| 3 | 2a02:6ea0:c700::101 | Germany | Unknown |
| 119 | 14 | - | - |
Detected Technologies1
100%
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T1D484A5F004F0273E017753F7A6311A1679B2D41BDB076B4836EE8799AF82E858E5B91C
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
1536:dm2A0/5j3FxC1XLS3Qtk+Fs8S5zaG+N8mfTNPWxYNPHWfUzrWU9GHvqw+cibn0CV:gr0/bOi12nH0FSGoFHzxzl8WFXH
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:389757:CoJoQDSDBIoDIQ3cZASIAQDTAoAWBpAxmAqjMECwkAILRggpDAJhuSAgoAGQKgqSgFDEJAUWJRQcwYAoBgEGR0Qa8lEIEAMM
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:0101013d3d0101ff
Perceptual Hash:8b68741fde60740f
Difference Hash:2383a369797bbb3b
Wavelet Hash:010101ff3f1f03ff
Color Hash:#e06ccc
Other Hashes
Crop Resistant:e8e088e49898686c,2383a369797bbb3b
Scan History
Scan history not available
Unable to load historical scan data