Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is ssoalpha.am.dvb.corpinter.net and was registered NaN years ago.
Submitted URL: https://nt7a-nonprod.query.api.am.dvb.corpinter.net
Effective URL: https://ssoalpha.am.dvb.corpinter.net/v1/auth?client_id=DAIVBADM_MICTM_AMAP_NONPROD_00574&redirect_uri=https%3A%2F%2Fnt7a-nonprod.query.api.am.dvb.corpinter.net%2Foauth%2Fcallback&response_type=code&scope=groups+openid+email+profile&state=0a9cf4be-e45f-42a5-954b-6b21ff14fea1Redirected
The Cisco Umbrella rank of the primary domain is #66,774 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 93%
No malicious activity detected; site appears legitimate despite a low‑confidence phishing label from the ML model.
Safety Factors
Details
Page Title
Tokenmaster
Scan Type
public
Language
English
Category
cryptocurrency blockchain
(63%)Domain Information
You're looking at domain 'nt7a-nonprod.query.api.am.dvb.corpinter.net' on the network infrastructure generic top-level domain (.net); it also runs on subdomain 'nt7a-nonprod.query.api.am.dvb'. Count 9 characters in 'corpinter' split between three vowels and 6 consonants. Splitting it apart reveals 2 words: corp, inter. Expect 4.5 characters per word on average. 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 |
|---|---|---|---|
| 6 | 40.77.80.50 | Des Moines, Iowa, United States | AS8075Microsoft Corporation |
| 6 | 52.154.163.18 | Des Moines, Iowa, United States | AS8075Microsoft Corporation |
| 6 | 23.36.162.202 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 18 | 3 | - | - |
Detected Technologies2
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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