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Security Scan Report: commercialpointohio.gov

Redirected to:
https://commercialpointohio.gov/.well-known/sgcaptcha/?r=%2F&y=ipc:178...
Submitted: Oct 28, 2025, 4:17:52 PMCompleted: Oct 28, 2025, 4:19:45 PMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 4 domains to perform 10 HTTP transactions. The main domain is commercialpointohio.gov and was registered NaN years ago.

Submitted URL: https://commercialpointohio.gov/

Effective URL: https://commercialpointohio.gov/.well-known/sgcaptcha/?r=%2F&y=ipc:178.63.16.224:1761668305.694Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government site; no security concerns detected.

Safety Factors
Official .gov top-level domain
Well-established domain with minimal risk category
No external links or redirects
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Robot Challenge Screen

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

malicious

(49%)

Domain Information

Domain 'commercialpointohio.gov' uses the United States government-restricted top-level domain (.gov). The registrable portion 'commercialpointohio' spans 19 characters holding nine vowels versus ten consonants. Breaking it apart gives 3 words: commercial, point, ohio. Expect 5 characters per word on average. 'commercial' most often appears in French. Secondary signals appear in English and Chinese (Pinyin). Overall, 'commercialpointohio.gov' reads as French.

Screenshot

Security scan screenshot of https://commercialpointohio.gov/

Page Load Overview

41.60s
Total Load Time
10
HTTP Requests
4
Domains
88 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:105 chars
Detector Agreement:100%

Website Classification

Primary Category

malicious49% confidence
Type: static
Method: ml+structural

All Detected Categories

malicious
49%
government
48%
other
47%
suspicious phishing
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
0216.58.206.42United States
AS15169GOOGLE
0108.138.2.209United States
AS16509AMAZON-02
0142.250.185.227United States
AS15169GOOGLE
035.215.89.64Los Angeles, California, United States
AS15169GOOGLE
0108.138.2.34United States
AS16509AMAZON-02
02600:9000:2490:6e00:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:6800:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:f400:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:600:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:5000:5:acf3:db40:21United States
AS16509AMAZON-02
1017--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E73E1DD37600ED8CC9687D2673821493487B4EDE4504951F29E2BE4FF8B69D4AE068F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:9IQS0tz0jiTbitkDfLMerF89xSuvcOKNGYUxYo3myMRdQmy:9r/itkDfLKKW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80656:UgABACUEVARyooAEaoMDTQOIAAmvRiAfMFKgCkqFaCmuIqOIAEwYREhgAYQCVizUoCIQxWgkUqAwAgBICOgK9tAFiNAEFpsG

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:0000000000ffffff
Perceptual Hash:dd029add22b2fd22
Difference Hash:11310a4d32320022
Wavelet Hash:081808009affffff
Color Hash:#d28279

Other Hashes

Crop Resistant:11310a4d32320022

Scan History

Scan history not available

Unable to load historical scan data