Summary
This website contacted 9 IPs in 2 countries across 4 domains to perform 27 HTTP transactions. The main domain is assembly.state.ny.us and was registered NaN years ago.
Submitted URL: https://assembly.state.ny.us/mem/Zohran-K-Mamdani/contact/
AI Security Verdict
Safe Website
Confidence: 98%
Legitimate government contact page with no security concerns.
Safety Factors
Details
Page Title
Zohran K. Mamdani - Assembly District 36 |Assembly Member Directory | New York State Assembly
Scan Type
public
Language
English
Category
real estate property
(57%)Domain Information
The domain name 'assembly.state.ny.us' uses the United States country-code top-level domain (.ny.us); it also runs on subdomain 'assembly'. The core label 'state' covers 5 characters containing two vowels alongside 3 consonants. Segmentation suggests 1 word: state. The linguistic tilt is Italian for 'state'. It also appears in English and Chinese (Pinyin) contexts. Taken together, it feels Italian with single-word simplicity.
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 |
|---|---|---|---|
| 3 | 142.250.185.232 | United States | AS15169GOOGLE |
| 3 | 216.239.32.36 | United States | AS15169GOOGLE |
| 3 | 142.250.186.100 | United States | AS15169GOOGLE |
| 3 | 216.239.34.36 | United States | AS15169GOOGLE |
| 3 | 204.97.104.2 | Cohoes, New York, United States | AS397932NYSA-ASN |
| 3 | 2001:4860:4802:34::36 | United States | AS15169GOOGLE |
| 3 | 2a00:1450:4001:810::2004 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 3 | 2a00:1450:4001:80b::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 3 | 2001:4860:4802:32::36 | United States | AS15169GOOGLE |
| 27 | 9 | - | - |
Detected Technologies7
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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