Summary
This website contacted 7 IPs in 3 countries across 7 domains to perform 22 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.
Submitted URL: https://in-dcs2.lightning.force.com
Effective URL: https://login.microsoftonline.com/2199bfba-a409-4f13-b0c4-18b45933d88d/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
Confirmed Scam
Confidence: 85%
The site hosts a login form and exhibits critical IDS alerts and heavily obfuscated JavaScript, indicating a high‑confidence credential phishing operation.
Risk Factors
Details
Page Title
Sign in to your account
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Domain 'in-dcs2.lightning.force.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'in-dcs2.lightning'. The registrable portion 'force' spans 5 characters with 2 vowels and three consonants. Splitting it apart reveals 1 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 |
|---|---|---|---|
| 3 | 40.126.32.72 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 3 | 20.190.160.20 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 3 | 18.254.252.205 | Columbus, Ohio, United States | AS8987Amazon Data Services Ireland Ltd |
| 3 | 95.100.135.57 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 20.42.73.27 | United States | AS8075Microsoft Corporation |
| 3 | 18.253.97.243 | Columbus, Ohio, United States | AS8987Amazon Data Services Ireland Ltd |
| 3 | 13.107.246.44 | United States | AS8075Microsoft Corporation |
| 21 | 7 | - | - |
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
Scan history not available
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