Security Scan Report: cityofmoberly-mo.gov

Redirected to: https://cityofmoberly-mo.gov/lander

Submitted: Nov 26, 2025, 11:11:02 PMCompleted: Nov 26, 2025, 11:12:19 PMpubliccompleted
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Summary

This website contacted 37 IPs in 4 countries across 14 domains to perform 42 HTTP transactions. The main domain is cityofmoberly-mo.gov and was registered NaN years ago.

Submitted URL: https://cityofmoberly-mo.gov/

Effective URL: https://cityofmoberly-mo.gov/landerRedirected

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

No security concerns detected; site appears to be a legitimate parked domain.

Safety Factors
Domain is older than 180 days
No external links or redirects
No suspicious content in OCR text beyond standard GoDaddy parking page
Domain age information unavailable

Details

Page Title

Joe's Pizza: A New York City Slice Icon | SearchHounds

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(95%)

Domain Information

You're looking at domain 'cityofmoberly-mo.gov' on the United States government-restricted top-level domain (.gov) with no subdomain. Count 16 characters in 'cityofmoberly-mo' containing five vowels alongside 10 consonants; bonus characters include 1 hyphen. Breaking it apart gives 4 words: city, of, moberly, mo. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cityofmoberly-mo.gov/

Page Load Overview

0.62s
Total Load Time
42
HTTP Requests
14
Domains
519 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:961 chars
Detector Agreement:67%

Website Classification

Primary Category

government95% confidence
Type: dynamic
Method: structural

All Detected Categories

government
95%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
852.222.236.60United States
AS16509AMAZON-02
613.226.244.18United States
AS16509AMAZON-02
695.100.135.96Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
613.226.244.79United States
AS16509AMAZON-02
465.8.131.115United States
AS16509AMAZON-02
3142.251.140.161United States
AS15169GOOGLE
354.75.90.24Dublin, Leinster, Ireland
AS16509AMAZON-02
2142.250.186.66United States
AS15169GOOGLE
23.33.130.190United States
AS16509AMAZON-02
213.126.68.79Mumbai, Maharashtra, India
AS16509AMAZON-02
4237--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11982FA3DF000793E32B7C3ACBAE2FA55A53D5029C5660158744E2AB94BEEFC19433B59

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:6ndt8cc8+cmaVRMEDnwwTZHtQamHTB/VvmkKX9QnHmWBuDg:6dt8cFZHtQ/zB/VvQQnGu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17855:IIkgdCDQUIwwXQABopgY1wRFhhUSOACFe5BEAJEQnowwUKJSKBKGGhEllAIwISTCcAA8gBjhEDAQWfhooCBoISOAEkQRMYwI

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:7fd9878787c7c7ff
Perceptual Hash:bc49c3c396969696
Difference Hash:b33b2e2e2f2e1e07
Wavelet Hash:7f998387838387c3
Color Hash:#2d3386

Other Hashes

Crop Resistant:b33b2e2e2f2e1e07

Scan History

Scan history not available

Unable to load historical scan data