Summary
This website contacted 7 IPs in 3 countries across 5 domains to perform 27 HTTP transactions. The main domain is bluffcitytn.gov and was registered NaN years ago.
Submitted URL: https://bluffcitytn.gov/
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate government site with no detected security concerns.
Safety Factors
Details
Page Title
Bluff City, TN
Scan Type
public
Language
English
Category
finance banking
(51%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'bluffcitytn.gov' is registered with no subdomain. The second-level label 'bluffcitytn' is 11 characters long holding two vowels versus 9 consonants. Word splitting yields three words: bluff, city, tn. Expect four characters per word on average. 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 |
|---|---|---|---|
| 9 | 142.250.186.142 | United States | AS15169GOOGLE |
| 3 | 23.34.32.40 | Ballerup Municipality, Capital Region, Denmark | AS16625AKAMAI-AS |
| 3 | 184.25.158.186 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 3 | 216.58.206.46 | United States | AS15169GOOGLE |
| 3 | 50.87.222.59 | United States | AS46606UNIFIEDLAYER-AS-1 |
| 3 | 142.250.184.238 | United States | AS15169GOOGLE |
| 3 | 2a00:1450:4001:81c::200e | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 27 | 7 | - | - |
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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