Security Scan Report: xn--populrvetenskap-4kb.se

Redirected to:
https://fof.se/
Site favicon
Submitted: Oct 3, 2026, 12:40:24 AMCompleted: Oct 3, 2026, 12:41:25 AMpubliccompleted

This website contacted 21 IPs in 3 countries across 7 domains to perform 73 HTTP transactions. The main domain is fof.se and was registered 30 years ago.

Submitted URL: https://xn--populrvetenskap-4kb.se

Effective URL:

https://fof.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Redirects from a punycode vanity domain to fof.se, the official Forskning & Framsteg magazine site. Science-journalism content, no credential or payment forms, no malware or phishing signals.

Safety Factors (4)
Redirect lands on the brand owner's own domain (fof.se), consistent with an acquired/vanity domain forwarding to the parent site
Zero password, disguised-password or payment fields on the page
Third-party scripts served by popular ranked hosts (Cookiebot, DoubleClick, typography.com)
Business entity referenced and site has an established publishing identity
Domain age information unavailable

Details

Page Title

Forskning & Framsteg

Scan Type

public

Domain Name Analysis

You're looking at domain 'xn--populrvetenskap-4kb.se' on the Swedish country-code top-level domain (.se) and has no subdomain. The second-level label 'xn--populrvetenskap-4kb' is 23 characters long with five vowels and 14 consonants; bonus characters include one digit and three hyphens. Breaking it apart gives 9 words: xn, pop, ul, r, ve, tens, kap, 4, kb. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xn--populrvetenskap-4kb.se

Page Load Overview

6.46s
Total Load Time
7.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv-SE
Text Length:1,039,113 chars
Detector Agreement:60%

Website Classification

Primary Category

government public service53% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
53%
corporate
35%
blog personal website
32%
social media network
25%
forum
20%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13139.162.130.140Frankfurt am Main, Hesse, Germany
AS63949Akamai Connected Cloud
337.9.175.180Slovakia
AS51013WebSupport s.r.o.
323.36.162.221Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.67.128.30Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
3142.251.20.157Google · CDNUnited States
AS15169Google LLC
3139.162.150.8Frankfurt am Main, Hesse, Germany
AS63949Akamai Connected Cloud
323.45.103.56Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
323.36.162.212Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3142.251.20.156Google · CDNUnited States
AS15169Google LLC
3139.162.178.213Frankfurt am Main, Hesse, Germany
AS63949Akamai Connected Cloud
7321--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10336527230093D1B0AA2FA784A01C3079FF1A56A45D726CE80D98EA47ED5C756DBF06F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:f3e1Zi1a0RHKlzJpaZ0uk7kqUb3Q0D8PujM+PiWlYV1bod5iWjEjoKKmt/DmX2h+:fSi1aCqMZ0ukkb3Q0wWniWAlDmX26d7D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4982482:JiQhhe4CxopHMAwcFJAAgHjwJcKwt0QwGqpCIFMpUIJAUUCTQhUAoBUIAkcoAEg5CGkJRorecEBIAAvdB4idHyFcYCggAMCx

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:0000c383033f0fff
Perceptual Hash:bd63520d6731cc33
Difference Hash:81351e0626733e2f
Wavelet Hash:0017c3c3033f0fff
Color Hash:#2d8649

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data