Security Scan Report: industrialautomation.se

Redirected to:
https://iaab.se/
Site favicon
Submitted: Oct 6, 2026, 12:20:12 AMCompleted: Oct 6, 2026, 12:20:49 AMpubliccompleted

This website contacted 8 IPs in 2 countries across 5 domains to perform 18 HTTP transactions. The main domain is iaab.se and was registered 18 years ago.

Submitted URL: https://industrialautomation.se

Effective URL:

https://iaab.se/
Redirected

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Single-domain redirect (industrialautomation.se -> iaab.se) of a Swedish automation firm's own site. No forms, no impersonation, no IoC/YARA/IDS hits. Entry domain's age does not vouch for the final host, so graded LOW_RISK.

Safety Factors (5)
No credential, login or payment form anywhere on the page
No brand impersonation — the site displays its own name matching its own domains
No threat-intelligence, YARA or network IDS hits
All JavaScript served from the site's own domain; no cross-origin credential handling
Content describes an established business with a physical address and 30 years of stated experience
Domain age information unavailable

Details

Page Title

IAAB – Industrial Automation AB

Scan Type

public

Domain Name Analysis

The domain name 'industrialautomation.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The second-level label 'industrialautomation' is 20 characters long containing 10 vowels alongside ten consonants. Splitting it apart reveals 2 words: industrial, automation. Expect 10 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://industrialautomation.se

Page Load Overview

3.29s
Total Load Time
1.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:1,085 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate business30% confidence
Type: static
Method: ml+structural

All Detected Categories

corporate business
30%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
493.188.2.54Sweden
AS39570Loopia AB
2194.9.94.86Sweden
AS39570Loopia AB
2142.250.154.95Google · CDNUnited States
AS15169Google LLC
2192.178.183.94Google · CDNUnited States
AS15169Google LLC
213.33.158.139Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
213.33.158.31Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
213.33.158.102Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
213.33.158.36Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
188--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FBC2B750750C027C692F97A9EAC4B33C9035F542EEA7442AF25D045AD3C3FE63AB6B94

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:WsnB7cxksc64Jysq7vGX7UfPXNOIiLZ5faRJm:WXx/c64Jysq7vT9iX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27991:oK0BQRCMwEAaAykZEwUZYMC4YVKhpIAoHEsiYGnooVgXAmSUAVMpAYACQBWIzCVADhMRABY6AEDRgYogHokFNJgQIiIKMsgh

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:0001017e1c0000ff
Perceptual Hash:822aee51d556d54d
Difference Hash:a56be5acd89c6da1
Wavelet Hash:11017d7f7f4000ff
Color Hash:#7ad22d

Scan History

Scan history not available

Unable to load historical scan data