Summary
This website contacted 34 IPs in 2 countries across 15 domains to perform 219 HTTP transactions. The main domain is opalockafl.gov and was registered NaN years ago.
Submitted URL: https://opalockafl.gov/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate government site; minor redirect issue but no malicious activity detected.
Risk Factors
Safety Factors
Details
Page Title
Opa-Locka, FL | Official Website
Scan Type
public
Language
English
Category
entertainment media
(71%)Domain Information
The domain 'opalockafl.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The second-level label 'opalockafl' is 10 characters long with four vowels and six consonants. Segmentation suggests three words: opa, lock, afl. Median word length comes out to three characters. 'opa' is most common in Malay usage. Usage also turns up in Vietnamese and Icelandic contexts. Taken together, it feels Malay.
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 |
|---|---|---|---|
| 21 | 216.239.34.36 | United States | AS15169GOOGLE |
| 6 | 208.90.189.111 | United States | AS393775IPP-AS |
| 6 | 57.144.248.128 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 6 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 6 | 57.144.244.128 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 6 | 142.250.185.106 | United States | AS15169GOOGLE |
| 6 | 216.239.32.36 | United States | AS15169GOOGLE |
| 6 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 6 | 104.18.28.155 | United States | AS13335CLOUDFLARENET |
| 6 | 157.240.253.1 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 219 | 34 | - | - |
Detected Technologies8
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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