Summary
This website contacted 8 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://applets.greavesbrewster.co.uk/
Effective URL: https://login.microsoftonline.com/d18eadf1-575a-4c25-8ded-4b6849214c18/oauth2/v2.0/authorize?response_type=code+id_token&redirect_uri=https%3A%2F%2Fapplets.greavesbrewster.co.uk%2F.auth%2Flogin%2Faad%2Fcallback&client_id=7bd1a9ad-54c8-486e-9cd9-ce161ce49f88&scope=openid+profile+email&response_mode=form_post&nonce=dddc340fff3d4994b7f7714a4ca0c6ec_20260115225700&state=redir%3D%252F&sso_reload=trueRedirected
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate corporate login page; no security concerns detected.
Safety Factors
Details
Page Title
Sign in to your account
Scan Type
public
Language
English
Category
finance banking
(35%)Domain Information
You're looking at domain 'applets.greavesbrewster.co.uk' on the United Kingdom country-code top-level domain (.co.uk) and includes subdomain 'applets'. The second-level label 'greavesbrewster' is 15 characters long split between five vowels and 10 consonants. Segmentation suggests two words: greaves, brewster. Median word length comes out to 7.5 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 |
|---|---|---|---|
| 4 | 44.198.198.171 | United Kingdom | |
| 3 | 20.190.159.128 | Germany | |
| 3 | 40.126.32.68 | Sweden | |
| 3 | 23.207.210.132 | Ireland | Unknown |
| 3 | 20.50.201.203 | United States | Unknown |
| 3 | 51.141.45.207 | Cardiff, Wales, United Kingdom | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 13.107.246.44 | Unknown | Unknown |
| 3 | 20.190.160.64 | Unknown | Unknown |
| 25 | 8 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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