Security Scan Report: cityofvidor.gov

Redirected to: https://cityofvidor.gov/.well-known/sgcaptcha/?r=%2F&y=ipc:178.63.16.224:1761238182.892

Submitted: Oct 23, 2025, 4:49:18 PMCompleted: Oct 23, 2025, 4:50:49 PMpubliccompleted
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Summary

This website contacted 13 IPs in 1 country across 2 domains to perform 7 HTTP transactions. The main domain is cityofvidor.gov and was registered NaN years ago.

Submitted URL: https://cityofvidor.gov/

Effective URL: https://cityofvidor.gov/.well-known/sgcaptcha/?r=%2F&y=ipc:178.63.16.224:1761238182.892Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Established domain age (>1 year)
No malicious Indicators of Compromise detected
Only a captcha challenge form, no credential collection
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.

Page Title

Robot Challenge Screen

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(78%)

Domain Information

The domain name 'cityofvidor.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. Its registrable label 'cityofvidor' stretches across 11 characters with four vowels and seven consonants. It segments into four words: city, of, vid, or. Expect 2.5 characters per word on average. The linguistic tilt is Chinese (Pinyin) for 'city'. You will also see it in English and Dutch contexts.

Screenshot

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

Page Load Overview

35.35s
Total Load Time
7
HTTP Requests
2
Domains
6 KB
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
HTML Lang Attribute:en
Text Length:428 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical78% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
78%
technology software
71%
news media journalism
61%
adult content
51%
education learning
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
034.174.72.43Dallas, Texas, United States
AS396982GOOGLE-CLOUD-PLATFORM
0108.138.2.142United States
AS16509AMAZON-02
0108.138.2.71United States
AS16509AMAZON-02
02600:9000:2490:6c00:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:4400:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:1c00:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:1e00:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:5600:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:6400:5:acf3:db40:21United States
AS16509AMAZON-02
0108.138.2.34United States
AS16509AMAZON-02
713--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C8E2752E75E72037942BB07E7F9F6100A1B941072C0AC9A97C6E1B95DF625240276FFB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ZT6SDR/pDmbmQguwKuiNxRNpHxz0x4lxHxppDdoxyxDxv7ijXGH6lcybVEA+1/O8:ZJDR/pD2rwKbf7uXGH68Xdyc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33173:QGMClZgBUUAFKsYRZHEAAFggIZGAAFKgIiBoAzBNNAAEFYiFtyYE8IYICEMnIYAFABggSCTnJKCnBLIxA6KAIhStocLogACQ

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:e7e7c3c3e7e7f7cf
Perceptual Hash:e63399c699cc6499
Difference Hash:0c080e0e0c05041a
Wavelet Hash:e0e0c0c0c3e7ff00
Color Hash:#6ce096

Other Hashes

Crop Resistant:0c080e0e0c05041a

Scan History

Scan history not available

Unable to load historical scan data