Summary
This website contacted 19 IPs in 2 countries across 9 domains to perform 122 HTTP transactions. The main domain is emanuelco-ga.gov and was registered NaN years ago.
Submitted URL: https://www.emanuelco-ga.gov/
AI Security Verdict
Safe Website
Confidence: 92%
Site appears legitimate; only minor redirect anomaly detected.
Risk Factors
Safety Factors
Details
Page Title
Emanuel County, GA - Official Website | Official Website
Scan Type
public
Language
English
Category
government public service
(89%)Domain Information
You're looking at domain 'www.emanuelco-ga.gov' on the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. The registrable portion 'emanuelco-ga' spans 12 characters holding six vowels versus 5 consonants, along with 1 hyphen. Splitting it apart reveals three words: emanuel, co, ga. The median word length lands at two 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 |
|---|---|---|---|
| 66 | 208.90.190.1 | United States | AS393775IPP-AS |
| 24 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 10 | 142.250.184.195 | United States | AS15169GOOGLE |
| 7 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 6 | 216.239.34.36 | United States | AS15169GOOGLE |
| 6 | 13.107.246.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 6 | 2620:1ec:46::44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 6 | 2001:4860:4802:34::36 | United States | AS15169GOOGLE |
| 6 | 2a03:2880:f084:105:face:b00c:0:3 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 6 | 2a00:1450:4001:829::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 122 | 19 | - | - |
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
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