Summary
This website contacted 5 IPs in 2 countries across 5 domains to perform 1 HTTP transaction. The main domain is accounts.cloud.com and was registered NaN years ago.
Submitted URL: https://prod-us-xdui-fd.azurefd.net
Effective URL: https://accounts.cloud.com/core/login?ReturnUrl=%2Fcore%2Fconnect%2Fauthorize%2Fcallback%3Fclient_id%3DRtmydVjvjLZBbU3qU3b8eQ%253D%253D%26redirect_uri%3Dhttps%253A%252F%252Fcitrix.cloud.com%252Foauth%26response_type%3Dcode%26scope%3Dopenid%2520email%2520profile%2520ctx_principal_aliases%2520offline_access%2520ctx_universal%2520ctx_adoid%2520allow_compressed_groups%26state%3Dhttps%253A%252F%252Fcitrix.cloud.com%252Foauth.7d08ebd9-f460-4cd5-a646-8b4b68a8ad55Redirected
The Cisco Umbrella rank of the primary domain is #882,716 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 80%
Fake Citrix login page collecting credentials; likely phishing.
Risk Factors
Details
Page Title
Citrix Secure Sign In
Scan Type
public
Language
English
Category
technology software
(50%)Domain Information
Domain 'prod-us-xdui-fd.azurefd.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'prod-us-xdui-fd'. The second-level label 'azurefd' is 7 characters long split between 3 vowels and 4 consonants. Tokenizing the label suggests 2 words: azure, fd. The median word length lands at 3.5 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 | 172.217.168.72 | United States | AS15169Google LLC |
| 3 | 50.85.153.209 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 3 | 13.107.213.44 | United States | |
| 3 | 54.192.35.119 | United States | |
| 3 | 52.150.55.27 | Washington, Virginia, United States | AS8075Microsoft Corporation |
| 16 | 5 | - | - |
Detected Technologies7
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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