Summary
This website contacted 15 IPs in 2 countries across 7 domains to perform 115 HTTP transactions. The main domain is oaklandmaine.us and was registered NaN years ago.
Submitted URL: https://www.oaklandmaine.us/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears to be a legitimate town government website with no security concerns.
Safety Factors
Details
Page Title
Town of Oakland, Maine Welcome To Our Official Website
Scan Type
public
Language
English
Category
government public service
(37%)Domain Information
Within the United States country-code top-level domain (.us), 'www.oaklandmaine.us' is registered with subdomain 'www'. The second-level label 'oaklandmaine' is 12 characters long containing six vowels alongside 6 consonants. Word splitting yields 2 words: oakland, maine. The median word length lands at six characters. The linguistic tilt is Romanian for 'oakland'. It also appears in Vietnamese and Estonian contexts.
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 |
|---|---|---|---|
| 17 | 142.250.184.206 | United States | AS15169GOOGLE |
| 7 | 192.185.96.150 | United States | AS19871NETWORK-SOLUTIONS-HOSTING |
| 7 | 142.250.186.110 | United States | AS15169GOOGLE |
| 7 | 142.250.185.142 | United States | AS15169GOOGLE |
| 7 | 142.250.185.174 | United States | AS15169GOOGLE |
| 7 | 142.250.186.35 | United States | AS15169GOOGLE |
| 7 | 142.250.185.163 | United States | AS15169GOOGLE |
| 7 | 2a00:1450:4001:80f::200e | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 7 | 142.250.186.142 | United States | AS15169GOOGLE |
| 7 | 2a00:1450:4001:830::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 115 | 15 | - | - |
Detected Technologies7
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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