Summary
This website contacted 8 IPs in 1 country across 8 domains to perform 2 HTTP transactions. The main domain is app.cloudoffice.avaya.com and was registered NaN years ago.
Submitted URL: https://app.cloudoffice.avaya.com
Effective URL: https://app.cloudoffice.avaya.com/login?replaceState=%7B%22from%22%3A%7B%22pathname%22%3A%22%2F%22%7D%7DRedirected
The Cisco Umbrella rank of the primary domain is #43,614 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate Avaya Cloud login page with no detected threats.
Safety Factors
Details
Page Title
Avaya Cloud
Scan Type
public
Language
English
Category
technology software
(29%)Domain Information
Within the commercial generic top-level domain (.com), 'app.cloudoffice.avaya.com' is registered, featuring subdomain 'app.cloudoffice'. The core label 'avaya' covers 5 characters containing 3 vowels alongside two consonants. Tokenizing the label suggests two words: a, vaya. The median word length lands at 2.5 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 |
|---|---|---|---|
| 11 | 130.211.5.208 | United States | |
| 9 | 13.32.99.22 | New York, New York, United States | AS16509Amazon.com, Inc. |
| 9 | 104.18.86.42 | United States | AS13335Cloudflare, Inc. |
| 9 | 34.36.213.229 | Kansas City, Missouri, United States | AS396982Google LLC |
| 9 | 66.81.247.29 | United States | AS209242Cloudflare London, LLC |
| 9 | 52.222.236.47 | United States | Unknown |
| 9 | 3.218.45.184 | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 9 | 34.107.204.85 | Kansas City, Missouri, United States | AS396982Google LLC |
| 74 | 8 | - | - |
Detected Technologies4
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
Unable to load historical scan data