Summary
This website contacted 4 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is brunswickb2cpartners.b2clogin.com and was registered NaN years ago.
Submitted URL: https://landnsea.net
Effective URL: https://brunswickb2cpartners.b2clogin.com/brunswickb2cpartners.onmicrosoft.com/B2C_1A_LNS_PROD_SIGNIN/oauth2/v2.0/authorize?client_id=233b82d6-86e2-4ef2-bb90-6c6076a9e881&response_type=code&redirect_uri=https://www.landnsea.net/mov/login-azure-b2c-partners.htm&response_mode=query&scope=openid&state=nodeeplinkRedirected
The Cisco Umbrella rank of the primary domain is #844,447 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 80%
The site hosts a standard login page on an old, well‑established domain with no malicious indicators.
Risk Factors
Safety Factors
Details
Page Title
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Scan Type
public
Language
English
Category
blog personal website
(100%)Domain Information
The domain name 'landnsea.net' uses the network infrastructure generic top-level domain (.net) with no subdomain. The second-level label 'landnsea' is 8 characters long containing 3 vowels alongside 5 consonants. Word splitting yields 3 words: land, n, sea. Median word length is 3 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 |
|---|---|---|---|
| 3 | 129.159.74.97Oracle · CLOUD | Ashburn, Virginia, United States | AS31898Oracle Corporation |
| 2 | 104.18.36.171Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 57.150.134.97Azure · CLOUD | Des Moines, Iowa, United States | AS8075Microsoft Corporation |
| 2 | 20.190.159.129Office365 · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 9 | 4 | - | - |
Detected Technologies4
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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