Summary
This website contacted 10 IPs in 2 countries across 8 domains to perform 64 HTTP transactions. The main domain is lakewoodny.gov and was registered NaN years ago.
Submitted URL: https://www.lakewoodny.gov/
AI Security Verdict
Safe Website
Confidence: 85%
1
Risk Score
The site appears legitimate with no malicious activity detected.
Safety Factors
No malicious Indicators of Compromise detected
No credential or payment collection forms
Content aligns with a legitimate local government site
Domain age information unavailable
Details
Page Title
VILLAGE OF LAKEWOOD, NY - Home
Scan Type
public
Language
🇺🇸
(80% confidence)English
Category
government
(48%)Screenshot

Page Load Overview
77.55s
Total Load Time
64
HTTP Requests
8
Domains
958 KB
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:2,467 chars
Detector Agreement:100%
Website Classification
Primary Category
government48% confidence
Type: spa
Method: ml+structural
All Detected Categories
government
48%
government public service
36%
Detected Features
Search
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 10 | 142.250.184.232 | United States | AS15169GOOGLE |
| 6 | 199.34.228.76 | United States | AS27647WEEBLY |
| 6 | 172.217.18.10 | United States | AS15169GOOGLE |
| 6 | 142.250.185.99 | United States | AS15169GOOGLE |
| 6 | 45.76.15.200 | Piscataway, New Jersey, United States | AS20473AS-VULTR |
| 6 | 146.75.121.46 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 6 | 2a04:4e42:8e::302 | Germany | Unknown |
| 6 | 2a00:1450:4001:82f::200a | Germany | Unknown |
| 6 | 2a00:1450:4001:828::2003 | Germany | Unknown |
| 6 | 2a00:1450:4001:80e::2008 | Germany | Unknown |
| 64 | 10 | - | - |
Detected Technologies6
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T16C63E8C4E6BC6835032A12D9F3A76FCFBBBB8254ED129C88A1F451269FD6E81135194C
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
1536:/IRIOITIwIgIkKZgNDCIwIGI5I9J7SzIRIOITIwIgIWKZgNDfIwIGI5IRJ7SKU1i:3U1qZ3yYs8BK8
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:69606:RkA5lABgJAQpINAohgAgGQoAIBBA0AJBaEngFgCFzhPKyICWkBEQGGAMAEKaiPQGYOgJJUAQEA2QI0ghiAgIkEQkUQgkYTAW
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:e300103c3e3c10ff
Perceptual Hash:8079ff02b365986d
Difference Hash:0b33b2d4d4f0e227
Wavelet Hash:ff00103c3e3c30ff
Color Hash:#452dd2
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data