Summary
This website contacted 17 IPs in 3 countries across 7 domains to perform 85 HTTP transactions. The main domain is sangamonil.gov and was registered NaN years ago.
Submitted URL: https://sangamonil.gov/
The Cisco Umbrella rank of the primary domain is #902,610 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government website 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
(85%)Domain Information
The domain 'sangamonil.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The registrable portion 'sangamonil' spans 10 characters holding 4 vowels versus six consonants. It segments into three words: sangam, on, il. Average segment length settles at two characters. 'on' most often appears in Estonian. You will also see it in Finnish and Italian contexts. Overall, 'sangamonil.gov' reads as 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 |
|---|---|---|---|
| 5 | 62.115.253.58 | France | AS1299Arelion Sweden AB |
| 5 | 172.66.144.196 | United States | AS13335CLOUDFLARENET |
| 5 | 104.20.46.41 | United States | AS13335CLOUDFLARENET |
| 5 | 142.250.186.131 | United States | AS15169GOOGLE |
| 5 | 64.68.190.163 | Aberdeen, South Dakota, United States | AS14955N-V-C |
| 5 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 2a03:2880:f084:105:face:b00c:0:3 | Unknown | Unknown |
| 5 | 2606:4700:10::ac42:90c4 | Unknown | Unknown |
| 5 | 142.250.181.227 | Unknown | Unknown |
| 85 | 17 | - | - |
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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