Summary
This website contacted 4 IPs in 1 country across 4 domains to perform 34 HTTP transactions. The main domain is auth-uat.ep.com and was registered NaN years ago.
Submitted URL: https://sa-qa.ep.com
Effective URL: https://auth-uat.ep.com/signon/?error=%7B%22id%22:%222c6cae98-fb40-4e40-b126-5e49aa82f908%22,%22code%22:%22INVALID_DATA%22,%22message%22:%22ErrorCode:%20INVALID_SIGNATURE%20-%20Unable%20to%20verify%20the%20signature%20authenticity%20for%20AuthnRequest:%20%27INVALID%27%22,%22details%22:[%7B%22code%22:%22INVALID_SIGNATURE%22,%22target%22:%22ds:Signature%22,%22message%22:%22Signature%20could%20not%20be%20verified%22%7D]%7DRedirected
The Cisco Umbrella rank of the primary domain is #220,414 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 88%
High‑risk phishing site impersonating Citrix Workspace login; do not enter credentials.
Risk Factors
Details
Page Title
Citrix Workspace
Scan Type
public
Language
English
Category
documentation technical
(50%)Domain Information
Within the commercial generic top-level domain (.com), 'sa-qa.ep.com' is registered; it also runs on subdomain 'sa-qa'. The second-level label 'ep' is 2 characters long with 1 vowel and 1 consonant. Breaking it apart gives one word: ep. 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 | 34.111.138.51 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 8 | 172.169.3.240 | Des Moines, Iowa, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 8 | 35.186.247.156 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 8 | 13.107.246.44 | United States | Unknown |
| 32 | 4 | - | - |
Detected Technologies2
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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