Security Scan Report: personalekonomi.nu

Redirected to:
https://www.personalekonomi.nu/
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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 2 domains to perform 16 HTTP transactions. The main domain is personalekonomi.nu.

Submitted URL: https://personalekonomi.nu

Effective URL:
https://www.personalekonomi.nu/
Redirected

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

Swedish personnel-economics training site showing its own brand; no forms, no impersonation, no threat-intel, hunting rule or IDS hits. Only cosmetic/template concerns, so low risk.

Risk Factors (2)
Thin, template-like marketing copy with generic placeholder-style street addresses ('188 Hood Avenue, Lokal 101', '678 Birch Street, Kontor 2')
Contact email uses a different ccTLD (personalekonomi.se) than the scanned domain (.nu)
Safety Factors (4)
Self-branding detected: page title/meta match its own domain, no impersonation of another entity
No forms at all — nothing to harvest credentials or payment data
No Indicators of Compromise, no hunting rule malware, no network IDS alerts
Registered business-style content with a physical address and a contact email (legitimacy signals weak but present)
Domain age information unavailable

Details

Page Title

Startsida - Personalekonomi.nu - utbildningar i personalekonomi

Scan Type

public

Domain Name Analysis

You're looking at domain 'personalekonomi.nu' on the .nu country-code top-level domain. Count 15 characters in 'personalekonomi' split between 7 vowels and eight consonants. Tokenizing the label suggests 4 words: personal, ek, on, omi. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://personalekonomi.nu

Page Load Overview

3.00s
Total Load Time
1.4 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:1,354 chars
Detector Agreement:100%
Language mismatch: Declared as en-US but detected as sv

Website Classification

Primary Category

social media network98% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
98%
education learning
74%
corporate business
67%
blog personal website
40%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1693.188.2.53Sweden
AS39570Loopia AB
161--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ECB3F722436488F9795F8B699059F30DF209E942CD8657D6F1BAC254A8CDDBE01F3B0E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:s1nypwYMIuhcd5Q2OZwD0MNlbCFVgeONYNXKNH8XBQ0VZobwemlUVuXwam6+29bn:sIMJZobwemlUVugamu9bn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:118039:NFEKHqDgAkwFCeCgI1kEZeLiEoUMRwASIGVQC0g0olARFkFCXIAo5EFQwCHp7NALYUciAkIo6AniFDhAgQSSCBKgRUWyGOrm

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:000f264301000f7e
Perceptual Hash:b269966f60d24d56
Difference Hash:d31eca8bab6b1ccc
Wavelet Hash:080f67470300ffff
Color Hash:06c00000000

Scan History

Scan history not available

Unable to load historical scan data