Summary
This website contacted 3 IPs in 1 country across 3 domains to perform 42 HTTP transactions. The main domain is auth.net2phone.com and was registered NaN years ago.
Submitted URL: https://app.net2phone.com
Effective URL: https://auth.net2phone.com/login?callback=https%3A%2F%2Fauth.net2phone.com%2Fconnect%2Fauthorize%3Fclient_id%3Dclient-ui.web%26redirect_uri%3Dhttps%253A%252F%252Fapp.net2phone.com%252Fcallback%26scope%3Dunite.api%2520unite.messenger%2520public_api.v2%2520ai%2520offline_access%26response_type%3Dcode%26state%3Da98397b9-3048-4d60-9743-8e87a3f8f253Redirected
The Cisco Umbrella rank of the primary domain is #198,550 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 92%
Legitimate net2phone login page with minor suspicious form design elements.
Risk Factors
Safety Factors
Details
Page Title
net2phone App | Account Login
Scan Type
public
Language
English
Category
social media network
(27%)Domain Information
Within the commercial generic top-level domain (.com), 'app.net2phone.com' is registered with subdomain 'app'. Its registrable label 'net2phone' stretches across 9 characters containing 3 vowels alongside five consonants, plus one digit. Splitting it apart reveals 3 words: net, 2, phone. Median word length is 3 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 |
|---|---|---|---|
| 10 | 66.22.18.212 | Ashburn, Virginia, United States | AS25773RADWARE INC. |
| 10 | 66.22.18.191 | Ashburn, Virginia, United States | AS25773RADWARE INC. |
| 10 | 3.161.82.114 | United States | AS16509Amazon.com, Inc. |
| 30 | 3 | - | - |
Detected Technologies3
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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