Summary
This website contacted 7 IPs in 3 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://philipsb2bsc--c.vf.force.com
Effective URL: https://login.microsoftonline.com/1a407a2d-7675-4d17-8692-b3ac285306e4/saml2?sso_reload=trueRedirected
The Cisco Umbrella rank of the primary domain is #1,491 of the top 1 million websitesTop 10K Site
AI Security Verdict
Low Risk
Confidence: 88%
Phishing page impersonating Philips, collecting credentials and flagged by critical IDS alerts.
Risk Factors
Safety Factors
Details
Page Title
Sign in to your account
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Domain 'philipsb2bsc--c.vf.force.com' uses the commercial generic top-level domain (.com) with subdomain 'philipsb2bsc--c.vf'. Its registrable label 'force' stretches across 5 characters containing 2 vowels alongside 3 consonants. Splitting it apart reveals one word: force. 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 |
|---|---|---|---|
| 8 | 40.126.31.67 | Netherlands | AS8075Microsoft Corporation |
| 2 | 13.107.246.44 | United States | AS8075Microsoft Corporation |
| 2 | 35.158.127.52 | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 2 | 35.158.127.51 | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 2 | 20.190.160.3 | Unknown | Unknown |
| 2 | 23.207.210.132 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 13.69.116.108 | Unknown | Unknown |
| 20 | 7 | - | - |
Detected Technologies5
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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