Security Scan Report: xn--nmforsen-0za.se

Redirected to:
https://namforsen.com/
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Submitted: Oct 2, 2026, 8:40:08 PMCompleted: Oct 2, 2026, 8:41:16 PMpubliccompleted

This website contacted 13 IPs in 3 countries across 11 domains to perform 91 HTTP transactions. The main domain is namforsen.com and was registered 21 years ago.

Submitted URL: https://xn--nmforsen-0za.se

Effective URL:

https://namforsen.com/
Redirected

AI Security Verdict

Safe Website

Confidence: 80%

0
Risk Score

Swedish rock-carvings museum site; redirect from the Punycode to the ASCII domain. No forms, no impersonation, no malware or threat-intel hits. Appears legitimate.

Safety Factors (5)
No credential, login or payment form; no data-capture surface at all
Content is genuine museum/archaeology material (rock carvings, opening hours, visitor address, foundation and municipal funders)
Self-branding: page title and og:site_name match its own domain brand, no other entity's brand claimed
No malware, phishing, IoC, YARA or IDS signals; scripts served from ranked, common third-party hosts
Entry hostname registered 2000-02-08 and redirects to the ASCII domain namforsen.com (does not itself establish the destination's reputation)
Domain age information unavailable

Details

Page Title

Välkommen till Nämforsen och Nämforsens Hällristningsmuseum - Nämforsens Hällristningsmuseum

Scan Type

public

Domain Name Analysis

The domain 'xn--nmforsen-0za.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The second-level label 'xn--nmforsen-0za' is 16 characters long containing three vowels alongside nine consonants; it also includes one digit and 3 hyphens. It segments into 6 words: xn, nm, for, sen, 0, za. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xn--nmforsen-0za.se

Page Load Overview

3.07s
Total Load Time
3.3 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:7,462 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: spa
Method: structural

All Detected Categories

corporate
50%
news/blog
40%

Detected Features

Articles
Comments
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
713.53.142.143Aws · CLOUDStockholm, Stockholm County, Sweden
AS16509Amazon.com, Inc.
713.53.204.104Aws · CLOUDStockholm, Stockholm County, Sweden
AS16509Amazon.com, Inc.
7104.18.19.62Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7104.18.22.56Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7142.251.20.95Google · CDNUnited States
AS15169Google LLC
7157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7142.251.13.94Google · CDNUnited States
AS15169Google LLC
7157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7104.18.18.62Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
713.53.111.206Aws · CLOUDStockholm, Stockholm County, Sweden
AS16509Amazon.com, Inc.
9113--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E0C33CB3A04C202E176FA3DCA0D0531FB075CB2AC6136DB4B2F9516D97CAEE125A631D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:6V7vap0cCNQWJZFPy3kFUOTLdN4ransF4iNbpqjy+eWg+emG+eVmY+eNSWOn+dnG:6MecOQJaYHpqjyQggGPXjYopVvU/kBU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:126086:qSGhADQEDUygiQRAOJUghroMzthEDQhhIECEBQtkAEAEBEUwygrAIipLWCRAGSCFhIcGzNCoIkJCBqFqGAJNABIooPBmSixU

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