Security Scan Report: www.irf.se

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Submitted: Jan 8, 2026, 11:00:11 PMCompleted: Jan 8, 2026, 11:01:23 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 30 HTTP transactions. The main domain is irf.se and was registered NaN years ago.

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

The Cisco Umbrella rank of the primary domain is #448,463 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Official research institute branding
No suspicious redirects or hidden fields
Domain age information unavailable

Details

Page Title

Institutet för rymdfysik

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

education learning

(61%)

Domain Information

Domain 'www.irf.se' uses the Swedish country-code top-level domain (.se) and includes subdomain 'www'. The registrable portion 'irf' spans 3 characters containing 1 vowel alongside 2 consonants. Splitting it apart reveals 2 words: i, rf. Median word length comes out to 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.irf.se

Page Load Overview

2.02s
Total Load Time
18
HTTP Requests
1
Domains
1002 KB
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:7,705 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning61% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
61%
documentation technical
47%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18193.10.33.87Sweden
AS1653Vetenskapsradet / SUNET
181--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EEA3C892E289727CAE5743EC9730BAB8719F048ED7162324E2F64674BD03DE4D6640DE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:6kczCKfng8F3ZK8so8IswUd6cMLI/diy86wfY1Im95+oMkOlYU5dfHQL6sekUMM4:6kczCKI8F3ZK8so8IswUd6cMLI/diy8u

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:102845:LM15Aa3TZAxSABHCCo5OFUOjUhhAigBHZJUHNATFlAAIBCDFDBhR0yBpwS4ApsaBbKXMIQAEFFmMwxI4oUkYoYgihhUAnQ6H

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:00819ffffff1f1b1
Perceptual Hash:ee156e4015644edf
Difference Hash:9f3b2b174d252565
Wavelet Hash:008181fffff1d191
Color Hash:#c58e87

Scan History

Scan history not available

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