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Security Scan Report: nashnet.nu

Redirected to:
https://www.nashnet.nu/
Site favicon
Submitted: Sep 24, 2026, 1:30:13 AMCompleted: Sep 24, 2026, 1:30:51 AMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/f683c959-2c8a-474c-b334-2bf48a13ac29Domain and IP registration (RDAP)/api/v1/rdap/f683c959-2c8a-474c-b334-2bf48a13ac29Certificate Transparency/api/v1/ct/nashnet.nuHow often this domain was scanned/api/v1/domain/stats/nashnet.nuScan history for this domain/api/v1/domain/history/nashnet.nu?limit=15

This website contacted 20 IPs in 4 countries across 19 domains to perform 82 HTTP transactions. The main domain is nashnet.nu and was registered 21 years ago.

Submitted URL: https://nashnet.nu

Effective URL:

https://www.nashnet.nu/
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Established Swedish broadband provider site with self-branding, no malicious forms or impersonation, and no threat-intel hits. Search and ad scripts only; safe to use.

Safety Factors (5)
Established domain age over 2 years
Physical address and contact details visible
Self-branded site with no impersonation of another entity
No credential or payment collection forms
No Indicators of Compromise, YARA, IDS, or Safe Browsing hits
Domain age information unavailable

Details

Page Title

nashnet.nu

Scan Type

public

Domain Name Analysis

The domain 'nashnet.nu' uses the .nu country-code top-level domain. The registrable portion 'nashnet' spans 7 characters containing two vowels alongside five consonants. Tokenizing the label suggests two words: nash, net. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nashnet.nu

Page Load Overview

4.19s
Total Load Time
1.4 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Text Length:3,188 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical40% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
40%
technology software
26%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
681.8.212.25Sweden
AS5763084 Grams AB
4142.251.14.156Google · CDNUnited States
AS15169Google LLC
4142.251.157.119Google · CDNUnited States
AS15169Google LLC
4142.251.20.157Google · CDNUnited States
AS15169Google LLC
4142.251.152.119Google · CDNUnited States
AS15169Google LLC
4142.251.13.138Google · CDNUnited States
AS15169Google LLC
4142.251.20.154Google · CDNUnited States
AS15169Google LLC
4142.251.20.155Google · CDNUnited States
AS15169Google LLC
4142.251.20.156Google · CDNUnited States
AS15169Google LLC
4142.250.154.95Google · CDNUnited States
AS15169Google LLC
8220--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16441719FD417F60A634CE987B2F9B105C082F87FE5986AC9E8C1447EF0B51D900A5A7D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:YaIHg9cpyoWHhDj9AHHq4iHHryHHKHH1JHHndHHJHHkOrCHEng:vIA9Dl9ajOg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2342:AAAAIAIAAAAAAQAABAAAQESAAAIACAAEYABAEAYAABCEASgAAABgAEAjACADAAEAAEBSAAQDAAAAAEAEAAAQAAAgAAgAAACY

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:c1c1819bdbdbdbdb
Perceptual Hash:b8636396949d0dcd
Difference Hash:0f0d333333333333
Wavelet Hash:81c1819bcbdbcb8b
Color Hash:#c59287

Other Hashes

Crop Resistant:0f0d333333333333,e5d4922b2b9b19d9,e0c5c7e7dffcdfff,a4d8d2c9d9c8c8c8

Scan History

Scan history not available

Unable to load historical scan data