Summary
API
Submitted URL: https://sfs.ny.gov
The Cisco Umbrella rank of the primary domain is #20,231 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #20,231.
Safety Factors (3)
Details
Page Title
The Statewide Financial System of New York
Scan Type
public
Domain Name Analysis
The domain name 'sfs.ny.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'sfs'. Count 2 characters in 'ny' containing zero vowels alongside 2 consonants. Tokenizing the label suggests 1 word: ny. Expect two 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 |
|---|---|---|---|
| 8 | 204.80.57.100 | Albany, New York, United States | AS394712New York State Office of the State Comptroller |
| 7 | 204.80.59.140 | Albany, New York, United States | AS394712New York State Office of the State Comptroller |
| 7 | 142.251.20.97Google · CDN | United States | AS15169Google LLC |
| 7 | 216.239.34.36Google · CDN | United States | AS15169Google LLC |
| 7 | 216.239.32.36Google · CDN | United States | AS15169Google LLC |
| 36 | 5 | - | - |
Detected Technologies11
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
Scan History
Scan history not available
Unable to load historical scan data