Security Scan Report: www.su.se

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Submitted: Jun 16, 2026, 11:29:42 AMCompleted: Jun 16, 2026, 11:30:59 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is su.se and was registered NaN years ago.

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

The Cisco Umbrella rank of the primary domain is #286,318 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate university website with no malicious activity detected.

Safety Factors
Self‑branding matches domain (Stockholms universitet)
Established domain reputation despite low ranking
No suspicious external links or cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Stockholms universitet - Stockholms universitet

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

education learning

(98%)

Domain Information

The domain 'www.su.se' uses the Swedish country-code top-level domain (.se) and includes subdomain 'www'. The second-level label 'su' is 2 characters long containing one vowel alongside 1 consonant. Tokenizing the label suggests 1 word: su. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

8.38s
Total Load Time
123
HTTP Requests
7
Domains
54.2 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:22,669 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning98% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
98%
government public service
73%
healthcare medical
62%
cryptocurrency blockchain
40%
blog personal website
39%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
62185.84.52.158Sweden
AS41174SiteVision AB
6154.192.35.122United States
AS16509Amazon.com, Inc.
1232--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BE44F63150506A7F42A72AC9F9724386739BD30EE6A16448FBFC5B981FD7CE0DC2605A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:VEuihcqH5K2F8auucZFO6e/ZYW3xcWKGb02+cgCwGk+MTgL:SuihWYuZ46aZX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:258505:QEpQYQAAgjtCzBBAQAKWAPGyqBCKQhAAKISDoAVAAIUiKAQ2sARAkEGARD25DDxJCfIlstEdkICVoIgCAIA3DNQhgYCEbSHi

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:0030103c3c00ffef
Perceptual Hash:9344617c9bef7038
Difference Hash:e2c6e06878741bdb
Wavelet Hash:007a1e3c3c00ffef
Color Hash:#251f93

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data