Summary
This website contacted 18 IPs in 2 countries across 6 domains to perform 81 HTTP transactions. The main domain is sangamonil.gov and was registered NaN years ago.
Submitted URL: https://sangamonil.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government site with no security concerns.
Safety Factors
Details
Page Title
Sangamon County Springfield Illinois | Government Departments, and Information
Scan Type
public
Language
English
Category
government public service
(78%)Domain Information
The domain 'sangamonil.gov' uses the United States government-restricted top-level domain (.gov). Count 10 characters in 'sangamonil' containing four vowels alongside 6 consonants. Tokenizing the label suggests three words: sangam, on, il. Median word length is two characters. 'on' is most common in Estonian usage. You may catch it in Finnish and Italian as well. Taken together, it feels Estonian.
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 |
|---|---|---|---|
| 13 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 142.250.74.195 | United States | AS15169GOOGLE |
| 4 | 64.68.190.163 | Aberdeen, South Dakota, United States | AS14955N-V-C |
| 4 | 172.66.144.196 | United States | AS13335CLOUDFLARENET |
| 4 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 216.58.206.35 | United States | AS15169GOOGLE |
| 4 | 184.24.77.167 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 184.24.77.160 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 2a00:1450:4001:813::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 81 | 18 | - | - |
Detected Technologies10
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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