Summary
This website contacted 13 IPs in 3 countries across 7 domains to perform 88 HTTP transactions. The main domain is plumlakewi.gov and was registered NaN years ago.
Submitted URL: https://www.plumlakewi.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government website with no apparent security threats.
Safety Factors
Details
Page Title
Town of Plum Lake, Vilas County, Wisconsin | Sayner, Wisconsin and Star Lake, Wisconsin
Scan Type
public
Language
English
Category
government
(95%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'www.plumlakewi.gov' is registered with subdomain 'www'. The core label 'plumlakewi' covers 10 characters containing 4 vowels alongside 6 consonants. Tokenizing the label suggests 3 words: plum, lake, wi. Average segment length settles at four 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 |
|---|---|---|---|
| 80 | 184.106.55.136 | United States | AS32244LIQUIDWEB |
| 6 | 2a00:1450:4001:811::200e | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 6 | 2a00:1450:400a:1009::5f | Zurich, Zurich, Switzerland | AS15169GOOGLE |
| 6 | 2001:4860:4802:32::36 | United States | AS15169GOOGLE |
| 6 | 2a00:1450:4001:830::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 6 | 216.239.34.36 | United States | AS15169GOOGLE |
| 6 | 2a00:1450:4001:801::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 6 | 2001:4860:4802:34::36 | United States | AS15169GOOGLE |
| 3 | 142.250.184.200 | United States | AS15169GOOGLE |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 88 | 13 | - | - |
Detected Technologies6
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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