Summary
API
Submitted URL: https://irm.se
AI Security Verdict
Safe Website
Confidence: 88%
Established 9-year-old Swedish consulting firm's own site (IRM AB). Self-branded, no credential/payment forms, no threat-intel or malware signals. Newsletter form uses legitimate rule.io backend. No risk indicators.
Safety Factors (5)
Details
Page Title
IRM | Information Resource Management IRM AB
Scan Type
public
Domain Name Analysis
The domain 'irm.se' uses the Swedish country-code top-level domain (.se). The second-level label 'irm' is 3 characters long holding one vowel versus two consonants. Segmentation suggests two words: i, rm. The median word length lands at 1.5 characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 19 | 164.90.177.198 | Frankfurt am Main, Hesse, Germany | AS14061DigitalOcean, LLC |
| 4 | 65.8.131.35Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 4 | 23.50.131.159Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 142.251.151.119Google · CDN | United States | AS15169Google LLC |
| 4 | 23.45.103.56Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 4 | 142.251.14.94Google · CDN | United States | AS15169Google LLC |
| 4 | 18.66.122.63Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 4 | 23.36.162.200Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 142.251.154.119Google · CDN | United States | AS15169Google LLC |
| 4 | 23.36.162.220Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 91 | 19 | - | - |
Detected Technologies10
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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