ScanMalware.com

Security Scan Report: industribelysningkalmar.se

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/c72f1de0-930b-4bf1-80d3-083d36036cecDomain and IP registration (RDAP)/api/v1/rdap/c72f1de0-930b-4bf1-80d3-083d36036cecHow often this domain was scanned/api/v1/domain/stats/industribelysningkalmar.seScan history for this domain/api/v1/domain/history/industribelysningkalmar.se?limit=15
This website contacted 6 IPs in 2 countries across 5 domains to perform 49 HTTP transactions. The main domain is industribelysningkalmar.se.

Submitted URL: https://industribelysningkalmar.se

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Long-established (2011) Swedish industrial lighting company website. Self-branded, contact form only with no password or payment fields; no threat-intel, malware or IDS findings. No malicious signals.

Safety Factors (4)
14-year-old established domain
Self-branded site whose name matches its own domain
No credential, password or payment fields (password = 0, payment = 0)
Clean threat intelligence, JavaScript malware and IDS results
Domain age information unavailable

Details

Page Title

Hem - Industribelysning i Kalmar

Scan Type

public

Domain Name Analysis

The domain name 'industribelysningkalmar.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. Its registrable label 'industribelysningkalmar' stretches across 23 characters split between 7 vowels and 16 consonants. Splitting it apart reveals five words: indus, tribe, lys, ning, kalmar. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://industribelysningkalmar.se

Page Load Overview

9.78s
Total Load Time
997 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv-SE
Text Length:4,888 chars
Detector Agreement:75%

Website Classification

Primary Category

corporate35% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate
35%
documentation technical
30%
finance banking
29%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
991.201.63.141Sweden
AS44136ODERLAND Webbhotell AB
8142.250.154.95Google · CDNUnited States
AS15169Google LLC
8142.250.154.97Google · CDNUnited States
AS15169Google LLC
8142.251.14.94Google · CDNUnited States
AS15169Google LLC
8216.239.32.36Google · CDNUnited States
AS15169Google LLC
8216.239.34.36Google · CDNUnited States
AS15169Google LLC
496--

Detected Technologies11

WordPressv7.1.3
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Google-AnalyticsvUniversal
100%
PHP
50%
MySQL
50%
reCAPTCHA
45%
LiteSpeed
40%
HTTP/3
40%
Google Analytics
35%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B373C831B95B0837371F02DF91A7360C6099EAF1CA51D6E6F1FA502491FDDE232B2269

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:hzyp42/56Kwvbpuq7et3tBdI+iGlfYQ36XAL93RP:heGI56Vj0Qet3tBdI+iGNYQ36wR5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:78926:IwAmBi4IlaAkFpV4JA4I0aB/ALAW4GOIjBEFyBXIwCzEEQUCQgOUBqEl9DgQqIOcCoRHolBKJkMFfgQcADoKSCgm4YgdEKJR

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:dff3f1f1f1f3dfcf
Perceptual Hash:ec6d929226926d6d
Difference Hash:3c27272727273c2f
Wavelet Hash:07f1f1f1f1f18700
Color Hash:#b279d2

Other Hashes

Crop Resistant:3c27272727273c2f,3dbd9b9bda5a5a25

Scan History

Scan history not available

Unable to load historical scan data