Summary
This website contacted 4 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is townofmeeker.gov and was registered NaN years ago.
Submitted URL: https://townofmeeker.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Placeholder government site with no security concerns.
Safety Factors
Details
Page Title
Coming Soon!
Scan Type
public
Language
English
Category
technology software
(51%)Domain Information
The domain 'townofmeeker.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The second-level label 'townofmeeker' is 12 characters long holding five vowels versus seven consonants. It segments into three words: town, of, meeker. Median word length comes out to 4 characters. 'town' is most common in Chinese (Pinyin) usage. You may catch it in English and Dutch as well.
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 |
|---|---|---|---|
| 3 | 208.80.4.100 | Berkeley, California, United States | AS47002TIGERTECH |
| 0 | 158.51.60.104 | Berkeley, California, United States | AS47002TIGERTECH |
| 0 | 2604:4f00:11:153e:0:70:974:1 | Berkeley, California, United States | AS47002TIGERTECH |
| 0 | 2604:4f00::3:0:5666:1 | Berkeley, California, United States | AS47002TIGERTECH |
| 3 | 4 | - | - |
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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