Summary
This website contacted 7 IPs in 1 country across 7 domains to perform 51 HTTP transactions. The main domain is mtabuscis.net and was registered NaN years ago.
Submitted URL: https://www.mtabuscis.net
The Cisco Umbrella rank of the primary domain is #287,701 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate transit site with no security concerns.
Safety Factors
Details
Page Title
MTA Bus Time
Scan Type
public
Language
English
Category
government public service
(74%)Domain Information
Within the network infrastructure generic top-level domain (.net), 'www.mtabuscis.net' is registered with subdomain 'www'. The registrable portion 'mtabuscis' spans 9 characters containing 3 vowels alongside 6 consonants. Word splitting yields 4 words: m, tabus, c, is. Expect 1.5 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 |
|---|---|---|---|
| 16 | 142.251.141.106 | United States | |
| 10 | 142.250.184.200 | United States | |
| 10 | 142.251.140.170 | United States | Unknown |
| 10 | 142.250.185.67 | United States | Unknown |
| 10 | 142.250.186.163 | United States | Unknown |
| 10 | 142.250.186.142 | United States | Unknown |
| 10 | 44.221.10.197 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 76 | 7 | - | - |
Detected Technologies6
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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