Summary
This website contacted 11 IPs in 2 countries across 12 domains to perform 55 HTTP transactions. The main domain is flaglermosquito.gov and was registered NaN years ago.
Submitted URL: https://flaglermosquito.gov/
AI Security Verdict
Details
Page Title
East Flagler Mosquito Control District – Serving the Community Since 1952
Scan Type
public
Language
English
Category
government
(48%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'flaglermosquito.gov' is registered. The core label 'flaglermosquito' covers 15 characters holding six vowels versus 9 consonants. Splitting it apart reveals 2 words: flagler, mosquito. The median word length lands at 7.5 characters. 'flagler' most often appears in Galician. You will also see it in Sinhala and English contexts. Overall, 'flaglermosquito.gov' reads as Galician.
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 |
|---|---|---|---|
| 5 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 192.0.77.32 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 104.21.66.52 | United States | AS13335CLOUDFLARENET |
| 5 | 192.0.72.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 172.67.156.251 | United States | AS13335CLOUDFLARENET |
| 5 | 2a03:2880:f084:105:face:b00c:0:3 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 2a03:2880:f177:185:face:b00c:0:25de | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 55 | 11 | - | - |
Detected Technologies12
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Scan history not available
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