Security Scan Report: ongov.net

Site favicon
Submitted: Oct 25, 2025, 5:06:34 AMCompleted: Oct 25, 2025, 5:08:33 AMpubliccompleted
Loading additional data...

Summary

This website contacted 101 IPs in 2 countries across 23 domains to perform 112 HTTP transactions. The main domain is ongov.net and was registered NaN years ago.

Submitted URL: http://ongov.net/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Onondaga County, New York

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

Domain 'ongov.net' uses the network infrastructure generic top-level domain (.net). Count 5 characters in 'ongov' holding two vowels versus 3 consonants. Word splitting yields two words: on, gov. Expect 2.5 characters per word on average. 'on' is most common in Estonian usage. It also appears in Finnish and Chinese (Pinyin) contexts.

Screenshot

Security scan screenshot of http://ongov.net/

Page Load Overview

31.50s
Total Load Time
112
HTTP Requests
23
Domains
2.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:3,071 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12142.251.140.170United States
AS15169GOOGLE
138.77.48.233Syracuse, New York, United States
AS174COGENT-174
1142.250.186.138United States
AS15169GOOGLE
1216.58.206.78United States
AS15169GOOGLE
1142.250.185.195United States
AS15169GOOGLE
1142.250.74.214United States
AS15169GOOGLE
1142.250.185.226United States
AS15169GOOGLE
1142.250.74.202United States
AS15169GOOGLE
1142.250.185.174United States
AS15169GOOGLE
1216.239.34.36United States
AS15169GOOGLE
112101--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T145833B31F6A0113B913391E4A5A2AF8852F2520BC7510A74FA6D917ADF8CDF94E3736C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:aVDIeKaq2bNSipbXW1euvFJzayJKvZAJeewYDGy685YZ9YmOou7K6:aVGwNSBpvFkSiXiyyMPOou7h

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:87917:ZxgkDYQOOIogoKNYJ6pFIhYjoWeJADJYAgH5FKSj6AAiUGO6xFFyYQglIUEWQI4DQBUABSMiWIcwbAIIFXCEQEBnEEoci3Qk

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data