Summary
This website contacted 68 IPs in 2 countries across 19 domains to perform 106 HTTP transactions. The main domain is rockfordil.gov and was registered NaN years ago.
Submitted URL: https://rockfordil.gov/
AI Security Verdict
Safe Website
Confidence: 92%
1
Risk Score
The site appears to be a legitimate government website with minimal risk.
Safety Factors
Established government domain
No credential harvesting forms
No malicious Indicators of Compromise
Domain age information unavailable
Details
Page Title
Rockford, IL | Official Website
Scan Type
public
Language
🇺🇸
(80% confidence)English
Category
government
(48%)Screenshot

Page Load Overview
49.20s
Total Load Time
106
HTTP Requests
19
Domains
2.4 MB
Total Size
Language Analysis
Primary Language
🇺🇸English
Code: enConfidence:80%
Script:Latin
Direction:ltr
Detection Details
Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:5,253 chars
Detector Agreement:100%
Website Classification
Primary Category
government48% confidence
Type: spa
Method: ml+structural
All Detected Categories
government
48%
government public service
46%
forum community discussion
42%
social media network
41%
Detected Features
Search
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 39 | 142.250.186.106 | United States | AS15169GOOGLE |
| 1 | 207.38.78.79 | United States | AS36489NETSOLUS-NETWORKS |
| 1 | 18.173.205.21 | United States | AS16509AMAZON-02 |
| 1 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 142.250.185.74 | United States | AS15169GOOGLE |
| 1 | 34.168.224.78 | The Dalles, Oregon, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 216.239.34.36 | United States | AS15169GOOGLE |
| 1 | 142.250.184.195 | United States | AS15169GOOGLE |
| 1 | 18.66.147.76 | United States | AS16509AMAZON-02 |
| 106 | 68 | - | - |
Detected Technologies7
100%
40%
20%
20%
20%
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T117D308A4BA8C6437805B21C8F5B7A208647D9332D6074C89FDBC93F06FD9CE4D672299
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
1536:j6AcA4FJ1tAkApUW1asM4lWY8WOdQhOMH+KO5v9145BWY1sgwfJSf4x7g:jiZ0pN1x+KO5E5BWY1slx7g
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:131854:xooAACHAMAF2AAAIgyMISQIAIEYWRQUyAqBiTDOMxQIIFEANTWCwkYpBQRCAQ0RBOjgFAhZkyoCCAQBCgWECrAgAEAYHtICk
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
Average Hash:003f2c24243c3c81
Perceptual Hash:8381a88e74dd7373
Difference Hash:b2e9cc4c4d69712b
Wavelet Hash:7a7f3c24243cbd81
Color Hash:#71ac53
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data