Summary
This website contacted 52 IPs in 2 countries across 14 domains to perform 93 HTTP transactions. The main domain is taftok.gov and was registered NaN years ago.
Submitted URL: https://www.taftok.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate municipal site with no security concerns.
Safety Factors
Details
Page Title
Town of Taft
Scan Type
public
Language
English
Category
government public service
(53%)Domain Information
The domain 'www.taftok.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. Its registrable label 'taftok' stretches across 6 characters containing two vowels alongside 4 consonants. Segmentation suggests 2 words: taft, ok. Expect three characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 28 | 146.75.120.238 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 20 | 146.75.120.237 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 10 | 198.185.159.145 | United States | AS53831SQUARESPACE |
| 9 | 151.101.129.229 | San Francisco, California, United States | AS54113FASTLY |
| 7 | 23.32.238.195 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 34.160.236.44 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 172.67.139.119 | United States | AS13335CLOUDFLARENET |
| 3 | 151.101.130.137 | San Francisco, California, United States | AS54113FASTLY |
| 1 | 23.32.238.192 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 151.101.1.229 | San Francisco, California, United States | AS54113FASTLY |
| 93 | 52 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
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