Security Scan Report: uppsalasystemvetare.se

Site favicon
Submitted: Completed: publiccompleted
This website contacted 13 IPs in 2 countries across 7 domains to perform 43 HTTP transactions. The main domain is uppsalasystemvetare.se.

Submitted URL: https://uppsalasystemvetare.se

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Legitimate Uppsala University systems-science student association site; self-branded, no forms, no Indicators of Compromise or malware signals. Domain age unknown but that is neutral here.

Safety Factors (5)
Self-branding: title/meta match the domain, no impersonation of a different organization
No credential, login, or payment forms on the page
No Indicators of Compromise, hunting rule malware, Safe Browsing, or network IDS alerts
Only mainstream, top-ranked third-party scripts (Google Analytics, Google Maps, CDNs)
Consistent Swedish-language student association content with a real contact address and email on its own domain
Domain age information unavailable

Details

Page Title

Uppsala Systemvetare

Scan Type

public

Domain Name Analysis

You're looking at domain 'uppsalasystemvetare.se' on the Swedish country-code top-level domain (.se) while skipping any subdomain. The core label 'uppsalasystemvetare' covers 19 characters containing seven vowels alongside 12 consonants. Tokenizing the label suggests 4 words: uppsala, system, vet, are. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

NERD SSE SCCM SAP CALAN GR NIE > on SÅ Co eEAbo É ee y = x aE NG i SN Sea 3 ; 5 ew UN i ce festa zm | i fewer iIdning AE STAL ESS VINER, UL ; EC Om utbildningen ‘Om förenings | ae ERE English (UK)...

Page Load Overview

3.65s
Total Load Time
20.7 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:1,978 chars
Detector Agreement:100%

All Detected Languages

🇸🇪sv(89%)🇫🇮fi(5%)🇿🇦af(3%)🇳🇴no(3%)

Website Classification

Primary Category

technology software91% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
91%
documentation technical
69%
government public service
61%
corporate business
44%
education learning
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2993.188.2.52Sweden
AS39570Loopia AB
4172.217.119.4Google · CDNUnited States
AS15169Google LLC
3142.251.13.97Google · CDNUnited States
AS15169Google LLC
3172.217.118.4Google · CDNUnited States
AS15169Google LLC
3104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.13.101Google · CDNUnited States
AS15169Google LLC
3104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.217.114.4Google · CDNUnited States
AS15169Google LLC
3142.251.13.102Google · CDNUnited States
AS15169Google LLC
4313--

Detected Technologies17

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11373EB7526E50123631B92DC079DB30CBA6E9833D9099D9AB4FE01C8EFD1E6205F7A1D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:JYypZk7BYlHs1+zuJHm2Vvti72qLLRSTXTk:J57ktYlHs102G2Vvti72yLgk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:78542:AEQ0WQJIRAM0JgBZy1asCiEBMMFOBIdwVARihCAoqEGgXBgBEAnAgKN2BiqERDKYAaQEBlUQdwAQDbBEgIkGbEyAspEl3AXy

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

Unable to load historical scan data