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

Redirected to:
https://nordblickwork.se/lanna-work/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 42 IPs in 3 countries across 22 domains to perform 202 HTTP transactions. The main domain is xn--lnnawork-0za.se.

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

Effective URL:
https://nordblickwork.se/lanna-work/
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Swedish real-estate project page for Länna Work premises; contact form only, no credentials or payment fields, no threat-intelligence or YARA hits. Redirect to the parent company's domain is routine.

Safety Factors (4)
No credential or payment fields; the sole form is a standard interest/contact form posting to the site's own domain
Contact e-mail and phone (08-760 00 77) match the destination domain's organisation
No Indicators of Compromise, YARA hits, IDS alerts or JavaScript behavioural red flags
Detailed, internally consistent product documentation (specifications, floor plans, construction timeline)
Domain age information unavailable

Details

Page Title

Köp lokal i Länna Work - Sänk dina kostnader redan idag!

Scan Type

public

Domain Name Analysis

The domain name 'xn--lnnawork-0za.se' uses the Swedish country-code top-level domain (.se) with no subdomain. The registrable portion 'xn--lnnawork-0za' spans 16 characters holding 3 vowels versus nine consonants, along with one digit and three hyphens. Word splitting yields 6 words: xn, ln, na, work, 0, za. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

12.75s
Total Load Time
7.7 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:49%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:13,453 chars
Detector Agreement:80%
Language mismatch: Declared as en-US but detected as sv

Website Classification

Primary Category

real estate property88% confidence
Type: spa
Method: ml+structural

All Detected Categories

real estate property
88%
corporate business
79%
government public service
64%
news/blog
50%
adult content
48%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3870.34.221.117Spånga, Stockholm County, Sweden
AS20473The Constant Company, LLC
4109.235.174.4Sweden
AS41528Loopia AB
4109.235.174.20Sweden
AS41528Loopia AB
423.53.41.11Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4142.251.155.119Google · CDNUnited States
AS15169Google LLC
423.53.40.195Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4142.251.20.97Google · CDNUnited States
AS15169Google LLC
4185.111.111.157Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
4142.251.127.94Google · CDNUnited States
AS15169Google LLC
4157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
20242--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17A94A72233851E7D691E42DF9052254C60CBEEFBD5B0A2D4F2BF0025E2DDCE5798E2A5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:uT5VYatzW9js7ElJCdqEYQGtzsHukI+pFy:ue

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:426826:Y2MVdMgIE2iCyMHAJGGnQIKIhAQKBGehRQHGAhEMECMqBshCiITBAgxmY9IIyhIBEgFISeGTAITmiOgAlWTYBJsDgQGATIMA

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:00060e0f0f0e00ff
Perceptual Hash:91506e6fe84f9519
Difference Hash:811cd8d89c5e6bbb
Wavelet Hash:008f6f4f0f0f00ff
Color Hash:#693a78

Scan History

Scan history not available

Unable to load historical scan data