Security Scan Report: www.vannas.se

Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 6 domains to perform 65 HTTP transactions. The main domain is vannas.se and was registered 30 years ago.

Submitted URL: https://www.vannas.se/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors (3)
Established government domain (vannas.se)
No suspicious forms or content
Long registration history
Domain age information unavailable

Details

Page Title

Vännäs kommun

Scan Type

public

Domain Name Analysis

The domain name 'www.vannas.se' uses the Swedish country-code top-level domain (.se) and includes subdomain 'www'. The core label 'vannas' covers 6 characters holding two vowels versus four consonants. Breaking it apart gives 2 words: vann, as. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

{Forskola; fritidshem, gf ‘aiUxeniutbldnt Omsorg och'stéd. sstod til barn, Unga Och farilyekoriomilskt’stod,, Bsykisk halsa,aldreomsotg:f Kultur.och fritid Bibllotek; kanst fdrott, mationsspar, for...

Page Load Overview

2.52s
Total Load Time
2.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:4,685 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property60% confidence
Type: spa
Method: ml+structural

All Detected Categories

real estate property
60%
government public service
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1580.88.112.2Åsele, Västerbotten County, Sweden
AS25176AC-Net AB
103.174.46.81United States
AS16509AMAZON-02
103.174.46.32United States
AS42695Cleura AB
1013.226.244.91United StatesUnknown
1089.42.141.228Karlskrona, Blekinge County, Sweden
AS42695Cleura AB
1013.226.244.32United StatesUnknown
656--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11214E692AC70923A362B87AC31EFCA26F7656085EC019F54B7FD11A49FD03DD261E14B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:FNrUalgbVybVtbVpsYXdUmKDp19H7FI5oHHvg6P5kTTAp:zUalgbVybVtbV2p19H7FIQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:194418:BEAEAISQEsh+jOQoFGG0PWlcFEZB0hAEFRBk3IkEDUggUARJFCoCCTCokZZY4YmQVNCAzBwAAQqACSIAAQG4LBHJ0SgCSHhS

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:00003c7effffc7fb
Perceptual Hash:da423abeabb4c892
Difference Hash:71e0e8e82a263e0b
Wavelet Hash:00003c7effff83c1
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data