Security Scan Report: www.pitea.se

Redirected to:
https://www.pitea.se/
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Submitted: Jun 9, 2026, 11:50:01 PMCompleted: Jun 9, 2026, 11:51:13 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is pitea.se and was registered NaN years ago.

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

Effective URL: https://www.pitea.se/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears to be a legitimate municipal website with no malicious indicators.

Safety Factors
Established government domain (municipality of Piteå)
No forms collecting sensitive data
No malicious scripts or external command‑and‑control activity
Domain age information unavailable

Details

Page Title

Piteå

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

government public service

(39%)

Domain Information

The domain 'www.pitea.se' uses the Swedish country-code top-level domain (.se) with subdomain 'www'. Count 5 characters in 'pitea' holding three vowels versus 2 consonants. Segmentation suggests two words: pite, a. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.85s
Total Load Time
52
HTTP Requests
8
Domains
1.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:13,212 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service39% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
39%
social media network
28%
corporate business
27%
blog personal website
26%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18178.174.209.211Stockholm, Stockholm County, Sweden
AS8473Bahnhof AB
1723.36.162.211Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
17195.196.144.99Piteå, Norrbotten County, Sweden
AS6782InformationsTeknik i Norrbotten AB
523--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ED14233031D6321F0B978AF05691D707AAD185C689C424CEB89E8B782FC6D1B9CBE177

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:eD50C8FQTeQKclIexQ4UQ4UKQTgaMZZstNv0hvHvnGMsHHHtzUuxDmXrKbjznbr+:6ysHntfDmXrn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:190763:CHCgAvBDwMJHQYBAEYkUhCCKiwKKAldkFC18tFFQJ0RhVRKeI0BaECIQ7ARMASKAgBDIZgIaEALgYMEIpIGdyw4giSK3IThB

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:00db81818181ffff
Perceptual Hash:e96d967607483d43
Difference Hash:b73333333b3b310d
Wavelet Hash:00cbc1c1c181ffff
Color Hash:#6c75e0

Scan History

Scan history not available

Unable to load historical scan data