Summary
This website contacted 88 IPs in 2 countries across 15 domains to perform 71 HTTP transactions. The main domain is townoflaveta-co.gov and was registered NaN years ago.
Submitted URL: https://townoflaveta-co.gov/
AI Security Verdict
Safe Website
Confidence: 95%
0
Risk Score
Legitimate municipal website with no detected threats.
Safety Factors
Established government domain (.gov)
Long domain age (> 18 years)
No credential‑harvesting or payment forms
No malicious Indicators of Compromise detected
Domain age information unavailable
Details
Page Title
Town of La Veta
Scan Type
public
Language
🇺🇸
(80% confidence)English
Category
government
(48%)Screenshot
Page Load Overview
42.94s
Total Load Time
71
HTTP Requests
15
Domains
4.5 MB
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
Text Length:3,837 chars
Detector Agreement:100%
Website Classification
Primary Category
government48% confidence
Type: dynamic
Method: ml+structural
All Detected Categories
government
48%
government public service
45%
news/blog
20%
Detected Features
Search
Articles
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 71 | 195.181.175.40 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 0 | 142.250.186.131 | United States | AS15169GOOGLE |
| 0 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 0 | 104.21.70.33 | United States | AS13335CLOUDFLARENET |
| 0 | 142.250.186.59 | United States | AS15169GOOGLE |
| 0 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 0 | 142.250.185.72 | United States | AS15169GOOGLE |
| 0 | 37.19.194.81 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 0 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 0 | 172.217.16.202 | United States | AS15169GOOGLE |
| 71 | 88 | - | - |
Detected Technologies12
100%
50%
40%
40%
40%
20%
20%
20%
20%
20%
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T15D83C63260E0013B052352DC75A1AF0AB6D2E20FD75B4984B6ED77688FC6CE5A97B35C
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
1536:dubizn1Q7Zn6U1XQIpEN6IHIQItxfZZhySG3aSLOFaN7U3fcOUdVtEkqQUzkSeAg:qZrI+Q5AN4P
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:83165:FEE7UIMqgAiEBAQwDEQHvDIOmABQFEEJpBFQKzCQAM6bLgFgGgBJLQKlBpihCiJgiMJSAkCR8AwCNCFOVQAQGANpQBiRCng1
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:ffff070f0100ffff
Perceptual Hash:a39bf548e313626a
Difference Hash:8e6e7ddf67c5a906
Wavelet Hash:ff3f070700005cff
Color Hash:#79a1d2
Other Hashes
Crop Resistant:8e6e7ddf67c5a906,6191969098969261,fa7dddfb7fc7c5a8
Scan History
Scan history not available
Unable to load historical scan data