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Security Scan Report: noren.se

Redirected to:
https://www.noren.se/
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/8f401d3a-dfec-430e-9881-d0cfbc31ec23Domain and IP registration (RDAP)/api/v1/rdap/8f401d3a-dfec-430e-9881-d0cfbc31ec23How often this domain was scanned/api/v1/domain/stats/noren.seScan history for this domain/api/v1/domain/history/noren.se?limit=15
This website contacted 7 IPs in 2 countries across 6 domains to perform 133 HTTP transactions. The main domain is noren.se.

Submitted URL: https://noren.se

Effective URL:
https://www.noren.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Small Swedish haulage/3PL company site on its own self-branded domain with no forms and no threat-intel, malware or IDS hits. Nothing malicious observed.

Safety Factors (4)
Self-branding matches the domain — no impersonation of another entity
No credential, login or payment forms present
No Indicators of Compromise, malware, IDS alerts or kit signatures
Consistent, specific business content with contact details typical of a real regional company
Domain age information unavailable

Details

Page Title

Norens Åkeri Klippan lager åstorp lager transport 3pl | Noréns Åkeri AB är strategiskt placerat i Nordvästra Skåne.

Scan Type

public

Domain Name Analysis

Domain 'noren.se' uses the Swedish country-code top-level domain (.se) with no subdomain. The core label 'noren' covers 5 characters containing two vowels alongside 3 consonants. Word splitting yields two words: no, ren. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://noren.se

Page Load Overview

4.24s
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:2,365 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service93% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
93%
blog personal website
90%
corporate business
89%
documentation technical
88%
adult content
79%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1946.30.213.15Copenhagen, Capital Region, Denmark
AS51468One.com A/S
19142.251.20.95Google · CDNUnited States
AS15169Google LLC
19172.217.118.4Google · CDNUnited States
AS15169Google LLC
19142.251.14.94Google · CDNUnited States
AS15169Google LLC
19104.21.49.183Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
19172.217.112.4Google · CDNUnited States
AS15169Google LLC
19172.217.113.4Google · CDNUnited States
AS15169Google LLC
1337--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18E63B6739C4AE836514396C8F0B1E71DE1DB922ACB02C9F8B7FC5199A3C5EE9109360D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:YH7apdSFz8NqXNn5LsZMkAsM3PvB/IAI4cnCivqw2Aww4uOQCuGSEqCECSIi6agf:Y+DSh8N6Nn5LsZMkAsM3PvB/IAI4cnC/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:73301:AlMhRAqNy6wM1dAQ09CinBWQiEIeMADIHoIAGQJGBgxEJgKVKJpmAQQdJIAKTMACBIEYACZAAACmwYEECpcCkSKBIaagwDkr

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:ff000001fffb0a00
Perceptual Hash:bdb85aad92d8a492
Difference Hash:36335d13065652dd
Wavelet Hash:ff0000ebfffb8a00
Color Hash:#d279cc

Other Hashes

Crop Resistant:36335d13065652dd,536b2f3379293133,393d1f1f1f4f0730,8e1e8c8ecc9a3b78,44444822c3df2944,521256997cdc516c

Scan History

Scan history not available

Unable to load historical scan data