Security Scan Report: www.irf.se

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Submitted: Oct 7, 2025, 8:14:14 AMCompleted: Oct 7, 2025, 8:14:48 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 19 HTTP transactions. The main domain is irf.se and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long-established domain
No malicious Indicators of Compromise
No suspicious external links
No forms collecting sensitive data
Official government affiliation
Domain age information unavailable

Details

Page Title

Institutet för rymdfysik

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

education learning

(60%)

Domain Information

The domain 'www.irf.se' uses the Swedish country-code top-level domain (.se); it also runs on subdomain 'www'. The registrable portion 'irf' spans 3 characters with 1 vowel and 2 consonants. It segments into two words: i, rf. Average segment length settles at 1.5 characters. 'i' is most common in English usage. It also appears in Chinese (Pinyin) and Bosnian contexts. Net impression: English phrase.

Screenshot

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

Page Load Overview

6.49s
Total Load Time
19
HTTP Requests
1
Domains
982 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:7,465 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning60% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
60%
documentation technical
47%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9193.10.33.87Sweden
AS1653Vetenskapsradet / SUNET
92001:6b0:27:ff::cc:cSweden
AS1653Vetenskapsradet / SUNET
192--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13CA3C892E28A727CAE5743EC9730BAB8719F048ED7162324E2F64674BD03DD4D6640DE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:OkczpKfng8F3ZK8o8IswUd6cMLI/diy86wfY1Im95+oMkOlYU5dfHQL6sekUMMMJ:OkczpKI8F3ZK8o8IswUd6cMLI/diy86b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:101546:UUZICRyLSAxggwgEAUsGUA0Q6yMAFKgADpwbGQQkCAEAqRGkEcCetISDFxBhiBKIAjCBQZBBXoOcgJAyElEUhCYRCQKUhIAa

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:00819ffffff1d191
Perceptual Hash:ee117c4711445bdb
Difference Hash:9f3b3b1709252735
Wavelet Hash:008191fffff1d181
Color Hash:#53ac71

Scan History

Scan history not available

Unable to load historical scan data