Summary
This website contacted 21 IPs in 2 countries across 8 domains to perform 63 HTTP transactions. The main domain is cityofdillonsc.gov.
Submitted URL: https://cityofdillonsc.gov/
AI Security Verdict
Safe Website
Confidence: 95%
1
Risk Score
The site appears to be a legitimate municipal website with no signs of phishing or malware.
Safety Factors
.gov top‑level domain
No credential or payment collection
reCAPTCHA implementation
No malicious Indicators of Compromise
Domain age information unavailable
Details
Page Title
City of Dillon -
Scan Type
public
Language
🇺🇸
(80% confidence)English
Screenshot
Page Load Overview
67.59s
Total Load Time
63
HTTP Requests
8
Domains
1.2 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-US
Text Length:2,750 chars
Detector Agreement:100%
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 3 | 142.250.186.35 | United States | AS15169GOOGLE |
| 3 | 104.18.40.153 | United States | AS13335CLOUDFLARENET |
| 3 | 172.217.16.196 | United States | AS15169GOOGLE |
| 3 | 172.64.147.103 | United States | AS13335CLOUDFLARENET |
| 3 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 3 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 3 | 23.36.162.197 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 143.204.98.11 | United States | AS16509AMAZON-02 |
| 3 | 142.250.185.227 | United States | AS15169GOOGLE |
| 3 | 23.101.118.145 | Des Moines, Iowa, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 63 | 21 | - | - |
Detected Technologies10
100%
100%
50%
45%
40%
25%
20%
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T1C0A32A11657A283B816701997EEF2F4E35F55183E189AC41FA9CCE081FC6DE02EE2B5D
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
1536:+ZQsjoM3PPXN41acKYZcF8x8R+qUPDrHAdVVYr6uC+iaPvjG8uPK:wNn8xZDreVVYgOPvz
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:103072:gWIkImYRWMcNgxEQaFINcIkYcAGcYOAAIBmhQhASiCxEBtFyhgBEAChgQNkRBV6USsmIiigUQALBDERMYP2MERRiINC0SmYS
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:ffff7f3c18180018
Perceptual Hash:8ae5f57dd8228887
Difference Hash:33cce971f0696d79
Wavelet Hash:ffff3f3818180038
Color Hash:#452dd2
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data