Summary
This website contacted 12 IPs in 2 countries across 3 domains to perform 29 HTTP transactions. The main domain is mokanemo.gov.
Submitted URL: https://mokanemo.gov/
AI Security Verdict
Safe Website
Confidence: 82%
1
Risk Score
The site appears to be a legitimate municipal website with no phishing or scam indicators.
Safety Factors
.gov TLD indicates official government registration
Absence of login/password or payment collection fields
No malicious Indicators of Compromise detected
Domain age information unavailable
Details
Page Title
City of Mokane - Welcome to Mokane, MO!
Scan Type
public
Language
🇺🇸
(80% confidence)English
Category
government public service
(93%)Screenshot

Page Load Overview
43.93s
Total Load Time
29
HTTP Requests
3
Domains
317 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-US
Text Length:5,881 chars
Detector Agreement:100%
Website Classification
Primary Category
government public service93% confidence
Type: dynamic
Method: ml+structural
All Detected Categories
government public service
93%
documentation technical
74%
government
48%
adult content
33%
Detected Features
Search
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 7 | 23.101.118.145 | Des Moines, Iowa, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 2.23.7.25 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 2.23.7.34 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 151.101.129.229 | San Francisco, California, United States | AS54113FASTLY |
| 2 | 2606:4700::6810:aee2 | United States | Unknown |
| 2 | 23.36.162.197 | United States | Unknown |
| 2 | 23.36.162.203 | United States | Unknown |
| 2 | 2a02:26f0:3500:18::1724:a298 | United States | Unknown |
| 2 | 104.16.175.226 | United States | Unknown |
| 2 | 104.16.174.226 | United States | Unknown |
| 29 | 12 | - | - |
Detected Technologies5
100%
40%
25%
20%
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T1CDA35B11617225374127029E7EBBBF4E26B69047E2468C25BE7C8F041FC6DA42EF279D
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
1536:PGfBCNJ7jBFa/asx1DRFeom4vuKOSexuDrXdVVYrFu+oYc04GjEl/O9+iaPvjG8y:MCTouKOtgDrtVVY3OPv+Io
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:104668:nDwZA2IKvt8aUcggiNCgWBQCFQYqyyckAUwkEDtQKhgaJo4goSgMQ2RK8JgRYFAIxKQDOMIgFSgQMgrglPSsPICQQRCxgdgo
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:ff78700000f9ffff
Perceptual Hash:c048bfbd34b6c6c8
Difference Hash:aef3c18c92c33793
Wavelet Hash:bf3870000070ffff
Color Hash:#783a42
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data