Security Scan Report: unt.se

Redirected to:
https://www.unt.se/
Site favicon
Submitted: Oct 4, 2026, 5:20:13 AMCompleted: Oct 4, 2026, 5:21:05 AMpubliccompleted

This website contacted 17 IPs in 3 countries across 13 domains to perform 164 HTTP transactions. The main domain is unt.se and was registered 5 years ago.

Submitted URL: https://unt.se

Effective URL:

https://www.unt.se/
Redirected

The Cisco Umbrella rank of the primary domain is #827,361 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate Swedish regional news site (Upsala Nya Tidning) on its own 5-year-old domain. Self-branded, no forms, no credential handling, and no threat-intel, YARA or IDS findings.

Safety Factors (6)
Established 5-year-old domain (unt.se) with registration date published
Self-branding matches the domain — no impersonation of another entity
No forms, no password/payment fields, no exfiltration
No threat-intelligence, YARA, kit-roster or IDS findings
All JavaScript served from the site's own domain with no cross-origin credential flow
Standard publisher transparency: named editor contact, privacy policy, ownership disclosure (NTM / Johanssonska stiftelserna)
Domain age information unavailable

Details

Page Title

UNT, Upsala Nya Tidning - lokala nyheter just nu

Scan Type

public

Domain Name Analysis

The domain name 'unt.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. Its registrable label 'unt' stretches across 3 characters holding one vowel versus two consonants. It segments into 1 word: unt. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://unt.se

Page Load Overview

16.65s
Total Load Time
3.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:3,245 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate business91% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
91%
adult content
58%
entertainment media
44%
finance banking
40%
healthcare medical
33%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20146.75.123.52Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
9151.101.67.42Fastly · CDNUnited States
AS54113Fastly, Inc.
9172.67.72.58Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9192.176.234.77Sweden
AS1257Tele2 SWIPnet
93.171.214.17Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
9104.26.0.90Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9212.102.56.178Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
9104.26.4.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9184.24.77.56Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
952.222.214.122Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
16417--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T110355C598D441C7F5B173768D0AE26AEE358E026DB51E488F9C8CE0955CEBF8203877B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:1ARkRFnT1OS8/TaJdMh4f3Z4W7e1CXEFgcSi45xJWh/p06+4qAi1ls37GJzHcx38:1ykRF5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1119382:HEFp2wrMaIjwOEkhQvEoIBSiSTGjUYiAGBCVEefQjARwC4gZBFECZMiCAEIGR8gLAJCRMIIBHzmC0qIdnJEwMVgSwoSzEEBo

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:9987ffbd9f9f8383
Perceptual Hash:9cc3603ece31ce99
Difference Hash:311ef13931381e26
Wavelet Hash:00837f3f1f0f8383
Color Hash:#e06c6c

Scan History

Scan history not available

Unable to load historical scan data