Security Scan Report: motebookingnorge.no

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Submitted: Jan 28, 2026, 2:40:11 PMCompleted: Jan 28, 2026, 2:41:54 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 87 HTTP transactions. The main domain is motebookingnorge.no and was registered NaN years ago.

Submitted URL: https://motebookingnorge.no/blogg/slikblirduendyktigselger/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate informational blog site with no security concerns.

Safety Factors
Well‑established domain (>10 years)
No password, email, or payment fields
No malicious Indicators of Compromise detected
Meta tags do not claim to be a major brand
Content appears to be informational blog post
Domain age information unavailable

Details

Page Title

Slik blir du en god selger! - Møtebooking Norge

Scan Type

public

Language

🇳🇴

Norwegian

(38% confidence)

Category

blog personal website

(96%)

Domain Information

The domain name 'motebookingnorge.no' uses the Norwegian country-code top-level domain (.no) while skipping any subdomain. Its registrable label 'motebookingnorge' stretches across 16 characters holding seven vowels versus nine consonants. Breaking it apart gives four words: mote, booking, nor, ge. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://motebookingnorge.no/blogg/slikblirduendyktigselger/

Page Load Overview

4.26s
Total Load Time
126
HTTP Requests
20
Domains
3.1 MB
Total Size

Language Analysis

Primary Language

🇳🇴Norwegian
Code: no
Confidence:38%
Script:Latin
Direction:ltr

Detection Details

Language Code:no
Detection Confidence:38%
Script Type:Latin
HTML Lang Attribute:nb-NO
Text Length:9,405 chars
Detector Agreement:60%
Language mismatch: Declared as nb but detected as no

Website Classification

Primary Category

blog personal website96% confidence
Type: spa
Method: ml+structural

All Detected Categories

blog personal website
96%
e-commerce shopping
92%
education learning
92%
cryptocurrency blockchain
88%
government public service
84%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14142.251.140.163United States
AS15169Google LLC
14192.0.77.48San Francisco, California, United States
AS2635Automattic, Inc
14142.250.185.142United States
AS15169Google LLC
142.18.64.217Unknown
1474.125.29.95United States
AS15169Google LLC
14184.24.77.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
14141.193.213.10United States
AS209242Cloudflare London, LLC
1423.32.238.235UnknownUnknown
14142.250.184.232United States
AS15169Google LLC
1269--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10CF3C5B3B0555C3E036BE3E1E0107E09A18A8636CD568DE5B3B9816E7BD2DB191FB344

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:5ZnqRCQcHA+Wflz+S6AVbRE4uAjQjrhWsqJKd:f5Az+oAd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:171567:qZjTPa0QkMADASOQiUgRMEABikIQoMAUUCoB8VELBhRCMBpEAVggChJkQ+wATAAoj2K+gwk7hFIxtnIaITCDAwUEIxHVArCA

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:ff00000000ffffff
Perceptual Hash:8f07b2f079f8c066
Difference Hash:e26b6373d6242c12
Wavelet Hash:ff00000000ffffff
Color Hash:#ade06c

Scan History

Scan history not available

Unable to load historical scan data