Summary
This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is gcch-ustx-0-t.trouter.gov.teams.microsoft.us and was registered NaN years ago.
Submitted URL: https://gcch-ustx-0-t.trouter.gov.teams.microsoft.us
The Cisco Umbrella rank of the primary domain is #1,756 of the top 1 million websitesTop 10K Site
AI Security Verdict
Safe Website
Confidence: 96%
No suspicious activity detected; site appears legitimate.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
UNKNOWN
Category
government
(95%)Domain Information
The domain name 'gcch-ustx-0-t.trouter.gov.teams.microsoft.us' uses the United States country-code top-level domain (.us); it also runs on subdomain 'gcch-ustx-0-t.trouter.gov.teams'. The registrable portion 'microsoft' spans 9 characters split between three vowels and six consonants. It segments into one word: microsoft. The median word length lands at 9 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 |
|---|---|---|---|
| 2 | 52.127.89.252 | San Antonio, Texas, United States | AS8070Microsoft Corporation |
| 2 | 1 | - | - |
Detected Technologies1
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