Security Scan Report: www.ahlsell.se

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Submitted: Completed: publiccompleted
This website contacted 27 IPs in 4 countries across 18 domains to perform 114 HTTP transactions. The main domain is ahlsell.se and was registered 31 years ago.

Submitted URL: https://www.ahlsell.se/butiker/?utm_campaign=Elverktyg+november+26&utm_medium=Ahlsell+Erbjudande&utm_source=BizWizard

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Official Ahlsell store-locator page on its long-established ahlsell.se domain; self-branded, no impersonation, no threat-intel, hunting rule or IDS hits, and no cross-origin credential activity.

Safety Factors (5)
Established 31-year-old domain matching the displayed brand
Self-branding detected: title/meta brand matches the domain
No Indicators of Compromise, hunting rule, IDS, or Safe Browsing hits
No payment fields and no cross-origin credential handling
Standard third-party infrastructure (CDN, analytics, maps, consent management)
Domain age information unavailable

Details

Page Title

Butiker | Ahlsell – Vi gör det enklare att vara proffs

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.ahlsell.se' on the Swedish country-code top-level domain (.se) with subdomain 'www'. The registrable portion 'ahlsell' spans 7 characters split between 2 vowels and five consonants. Word splitting yields 2 words: ahl, sell. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

OmAtsell — Butiker — Hållbarhet — Jobba has oss — Nya produkter & Logga In ahlsell ahlsell Gy Omenadero Inställningscenter för integritet Nar du besöker en webbplats kan den lagra eller hämta Infor...

Page Load Overview

3.47s
Total Load Time
5.8 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:50,556 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical100% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
100%
corporate business
99%
blog personal website
99%
e-commerce shopping
98%
government public service
96%

Detected Features

Login Form
Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10150.171.109.104Azure · CLOUDUnited States
AS8075Microsoft Corporation
4150.171.109.100Azure · CLOUDUnited States
AS8075Microsoft Corporation
4142.251.110.95Google · CDNUnited States
AS15169Google LLC
4104.18.86.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4172.64.148.115Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4172.217.113.4Google · CDNUnited States
AS15169Google LLC
420.93.226.62Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
420.240.15.31Azure · CLOUDSweden
AS8075Microsoft Corporation
4142.251.153.4Google · CDNUnited States
AS15169Google LLC
11427--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FF65422052F4137F28A187D45AA43D9E9DC4EA03E2679CD4729D0AF5CF9EEB2C937604

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:V6Tv0dQXrydJGXw180Ml6qkTbPtia5SKll1leRwcb:Vcv0dQXYMGttsRB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1491366:GgICaBiAIJAwZQGmAKgLBwiJCuAEEU+CAwRJNMlgCBWCUqJkGRGCACkGAgKJCyJGwZmN5ApxKBQABdY0SEIAYUoCzBFQEyAY

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:1818191818180000
Perceptual Hash:c9c93336cc3360ed
Difference Hash:3033333333330cc2
Wavelet Hash:3c389898989887e7
Color Hash:060020001c0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data