Summary
This website contacted 7 IPs in 5 countries across 8 domains to perform 1 HTTP transaction. The main domain is login.microsoftonline.com and was registered NaN years ago.
Submitted URL: https://stenadrilling.e-days.co.uk
Effective URL: https://login.microsoftonline.com/5d0501ba-8bc1-464e-b3ad-9e2c8779c55c/saml2?sso_reload=trueRedirected
The Cisco Umbrella rank of the primary domain is #287,944 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 92%
The site impersonates the Stena brand, collects credentials via a cross‑origin login form, and triggers critical IDS and obfuscation alerts – confirmed phishing scam.
Risk Factors
Safety Factors
Details
Page Title
Sign in to your account
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
You're looking at domain 'stenadrilling.e-days.co.uk' on the United Kingdom country-code top-level domain (.co.uk) with subdomain 'stenadrilling'. The second-level label 'e-days' is 6 characters long split between 2 vowels and three consonants, along with 1 hyphen. It segments into 2 words: e, days. Average segment length settles at 2.5 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 |
|---|---|---|---|
| 6 | 20.190.160.131 | Germany | |
| 5 | 20.190.160.5 | Netherlands | |
| 5 | 13.69.239.78 | United Kingdom | Unknown |
| 5 | 40.126.32.140 | Ireland | Unknown |
| 5 | 51.143.191.44 | London, England, United Kingdom | AS8075Microsoft Corporation |
| 5 | 23.207.210.137 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 13.107.246.44 | United States | AS8075Microsoft Corporation |
| 36 | 7 | - | - |
Detected Technologies6
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
Unable to load historical scan data