Security Scan Report: unitedsupporteren.no

Redirected to:
https://www.united.no/
Site favicon
Submitted: Sep 27, 2026, 11:12:58 PMCompleted: Sep 27, 2026, 11:17:07 PMpubliccompleted

This website contacted 60 IPs in 8 countries across 13 domains to perform 51 HTTP transactions. The main domain is united.no and was registered 12 years ago.

Submitted URL: https://unitedsupporteren.no

Effective URL:

https://www.united.no/
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Redirect ends on the established brand owner www.united.no, serving an ordinary Norwegian sports news page with no credential/payment forms, no Indicators of Compromise and no malware. The two MEDIUM IDS hits are generic vercel.app hosting-reputation tags, not page content evidence.

Safety Factors (3)
Destination www.united.no is an established, ranked domain belonging to the named brand
Page content matches a legitimate sports/news publisher with no data-collection forms
No Indicators of Compromise, YARA malware, phishing kit, or credential exfiltration detected
Domain age information unavailable

Details

Page Title

United - forsiden

Scan Type

public

Domain Name Analysis

The domain 'unitedsupporteren.no' uses the Norwegian country-code top-level domain (.no) while skipping any subdomain. The core label 'unitedsupporteren' covers 17 characters with 7 vowels and ten consonants. Word splitting yields 3 words: united, supporter, en. The median word length lands at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://unitedsupporteren.no

Page Load Overview

90.35s
Total Load Time
286 KB
Total Size

Language Analysis

Primary Language

🇳🇴Norwegian
Code: no
Confidence:49%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:nb-NO
Text Length:885 chars
Detector Agreement:100%
Language mismatch: Declared as nb-NO but detected as no

Website Classification

Primary Category

news media journalism83% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
83%
entertainment media
82%
gambling betting
78%
adult content
75%
e-commerce shopping
73%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
51172.67.73.141Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
046.30.213.97Copenhagen, Capital Region, Denmark
AS51468One.com A/S
0184.24.77.54Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0142.251.14.154Google · CDNUnited States
AS15169Google LLC
0108.138.26.27Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
0212.102.56.178Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
013.69.68.18Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
0216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
013.35.58.4Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
0142.250.154.95Google · CDNUnited States
AS15169Google LLC
5160--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T159A48571E294B43B850264E2F29561DC9B45D32FF7F1866172AC13021FCDD9BAE326B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:/GGTWXABHTVg3K2UjViqXzrBJ53IHlIzopWtRWd4GHM9H14wgEXRtFMVUUBzVxvr:S

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:460996:JsoAMCACCHGgEUPsHIFBQd5QE4BQYKBAiDgQMTpClIDuAAW5L7kEOhkU0gogRwgAFgkA0AqQAUxcQUhADBDmQSKe2nEGBIA1

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:0000000000ffffff
Perceptual Hash:c02f92916e2dd23f
Difference Hash:95192727978eeaa4
Wavelet Hash:0081818181ffffff
Color Hash:#ad79d2

Scan History

Scan history not available

Unable to load historical scan data