Summary
This website contacted 5 IPs in 1 country across 3 domains to perform 30 HTTP transactions. The main domain is townofschuylerny.gov and was registered NaN years ago.
Submitted URL: https://townofschuylerny.gov/
AI Security Verdict
Safe Website
Confidence: 92%
1
Risk Score
Legitimate municipal website with low risk.
Safety Factors
No malicious Indicators of Compromise detected
No password, login, or payment fields
Official contact emails use the same domain (townofschuylerny.gov)
Public notices and meeting details are typical for a government website
Domain age information unavailable
Details
Page Title
TOWN of SCHUYLER Location and Meeting Details
Scan Type
public
Language
🇺🇸
(80% confidence)English
Category
government
(95%)Screenshot
Page Load Overview
18.04s
Total Load Time
30
HTTP Requests
3
Domains
3.1 MB
Total Size
Language Analysis
Primary Language
🇺🇸English
Code: enConfidence:80%
Script:Latin
Direction:ltr
Detection Details
Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:3,187 chars
Detector Agreement:100%
Website Classification
Primary Category
government95% confidence
Type: dynamic
Method: structural
All Detected Categories
government
95%
corporate
50%
Detected Features
Search
OG: website
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 6 | 142.250.186.106 | United States | AS15169GOOGLE |
| 6 | 142.250.184.195 | United States | AS15169GOOGLE |
| 6 | 170.158.227.225 | Syracuse, New York, United States | AS46158OCMBOCES |
| 6 | 2a00:1450:4001:829::2003 | United States | Unknown |
| 6 | 2a00:1450:4001:806::200a | United States | Unknown |
| 30 | 5 | - | - |
Detected Technologies8
100%
100%
100%
50%
40%
20%
20%
20%
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T16413D73649F4213B014391C97AB0770AAF969207CB27AD84B1FD63559FDBF864827B8C
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
384:659zgpDeW/z3Oxwy6qAH0xYlXOgjWVsUUP0sMbsYs:czgpDFzFZHUVsUUP0M
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:45063:ICIUGKAIEQRBGY2HCBKjmAAiIEEBIMjBKEKNltSR4WQREiKYAgpJxqCNTCyCJoIpJmAxA6TCEEBECDBAASEIAmMSC5GsBBED
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
Average Hash:000000ffffffffef
Perceptual Hash:e144339ebe8ec1e1
Difference Hash:acd4d2190c480e1e
Wavelet Hash:000000ffe7e7efc7
Color Hash:#c58887
Other Hashes
Crop Resistant:acd4d2190c480e1e,8485dcd2d6ceceda
Scan History
Scan history not available
Unable to load historical scan data