Summary
This website contacted 11 IPs in 2 countries across 12 domains to perform 57 HTTP transactions. The main domain is flaglermosquito.gov and was registered NaN years ago.
Submitted URL: https://flaglermosquito.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
East Flagler Mosquito Control District – Serving the Community Since 1952
Scan Type
public
Language
English
Category
government
(48%)Domain Information
The domain name 'flaglermosquito.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The second-level label 'flaglermosquito' is 15 characters long holding 6 vowels versus 9 consonants. Segmentation suggests two words: flagler, mosquito. Median word length comes out to 7.5 characters. 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 |
|---|---|---|---|
| 7 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 192.0.77.32 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 192.0.72.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 172.67.156.251 | United States | AS13335CLOUDFLARENET |
| 5 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 104.21.66.52 | United States | AS13335CLOUDFLARENET |
| 5 | 2a03:2880:f177:185:face:b00c:0:25de | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 192.0.72.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 57 | 11 | - | - |
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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