Security Scan Report: app.svedea.se

Redirected to: https://app.svedea.se/mina-sidor

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Submitted: Nov 25, 2025, 11:40:44 PMCompleted: Nov 25, 2025, 11:44:53 PMpubliccompleted
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Summary

This website contacted 30 IPs in 4 countries across 11 domains to perform 207 HTTP transactions. The main domain is app.svedea.se and was registered NaN years ago.

Submitted URL: https://app.svedea.se/

Effective URL: https://app.svedea.se/mina-sidorRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns detected.

Safety Factors
Well‑established domain with minimal risk category
Official brand subdomain
Absence of phishing or malware indicators
Domain age information unavailable

Details

Page Title

Logga in på Mina sidor | Svedea

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

corporate business

(72%)

Domain Information

The domain 'app.svedea.se' uses the Swedish country-code top-level domain (.se) with subdomain 'app'. The core label 'svedea' covers 6 characters holding three vowels versus 3 consonants. It segments into four words: s, ve, de, a. Median word length is 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.svedea.se/

Page Load Overview

0.41s
Total Load Time
207
HTTP Requests
11
Domains
6.0 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:19,314 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business72% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
72%
finance banking
48%
documentation technical
37%
government public service
36%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17937.123.164.234Malmo, Skåne County, Sweden
AS8473Bahnhof AB
837.123.164.233Malmo, Skåne County, Sweden
AS8473Bahnhof AB
6104.17.25.14United States
AS13335CLOUDFLARENET
6104.26.2.182United States
AS13335CLOUDFLARENET
613.107.213.45United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
6104.16.174.226United States
AS13335CLOUDFLARENET
6142.250.185.232United States
AS15169GOOGLE
6142.250.186.131United States
AS15169GOOGLE
6104.16.175.226United States
AS13335CLOUDFLARENET
6142.250.186.42United States
AS15169GOOGLE
20730--

Detected Technologies1

100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D412A5AB6DF5C4161203358BEF77B12E68AA8147DA44CC8435AC43A58F98BFD0C97E58

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:UqJAniifX9MeoJMK9uqDcV3paU7hpuCFHMzfSkCJVC9e1KSHFligiD7T/mkk:UTi1un0YhpFbVC9kiginT/mkk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9089:AC6hQKJvwlBJK4ILkUq5DQcyCoGEqzJN1QANoEgEBCChE3GECo4EdyNEUadaAASARBKBQ0LFmEMUQJICewThAlagFwKRcgmM

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:ffffffffffffff01
Perceptual Hash:abd42bd42bd429d4
Difference Hash:0001010101010153
Wavelet Hash:0d0d0d0d31310301
Color Hash:#52783a

Other Hashes

Crop Resistant:0001010101010153

Scan History

Scan history not available

Unable to load historical scan data