Summary
This website contacted 9 IPs in 2 countries across 4 domains to perform 65 HTTP transactions. The main domain is townofcallahan-fl.gov and was registered NaN years ago.
Submitted URL: https://www.townofcallahan-fl.gov/
AI Security Verdict
Safe Website
Confidence: 96%
The site appears legitimate and poses no security threats.
Safety Factors
Details
Page Title
Town of Callahan
Scan Type
public
Language
English
Category
government public service
(61%)Domain Information
You're looking at domain 'www.townofcallahan-fl.gov' on the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. Its registrable label 'townofcallahan-fl' stretches across 17 characters holding five vowels versus eleven consonants; it also includes one hyphen. Tokenizing the label suggests 4 words: town, of, callahan, fl. Expect three characters per word on average. Most frequently, 'town' shows up in Chinese (Pinyin). You may catch it in English and Icelandic 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 |
|---|---|---|---|
| 7 | 104.21.59.205 | United States | AS13335CLOUDFLARENET |
| 7 | 142.250.186.106 | United States | AS15169GOOGLE |
| 7 | 18.189.107.74 | Columbus, Ohio, United States | AS16509AMAZON-02 |
| 7 | 142.250.184.227 | United States | AS15169GOOGLE |
| 7 | 2606:4700:3031::6815:3bcd | United States | AS13335CLOUDFLARENET |
| 7 | 2606:4700:3034::ac43:b789 | United States | AS13335CLOUDFLARENET |
| 7 | 2a00:1450:4001:812::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 7 | 2a00:1450:4001:827::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 7 | 172.67.183.137 | United States | AS13335CLOUDFLARENET |
| 65 | 9 | - | - |
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
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