Summary
This website contacted 10 IPs in 1 country across 4 domains to perform 57 HTTP transactions. The main domain is interlachen-fl.gov and was registered NaN years ago.
Submitted URL: https://www.interlachen-fl.gov/
AI Security Verdict
Safe Website
Confidence: 95%
1
Risk Score
Legitimate government website with no apparent security threats.
Safety Factors
Established domain age
Government .gov domain
No malicious Indicators of Compromise
No forms collecting sensitive data
Consistent public information for the Town of Interlachen
Domain age information unavailable
Details
Page Title
Town of Interlachen, Florida
Scan Type
public
Language
🇺🇸
(80% confidence)English
Category
government
(95%)Screenshot

Page Load Overview
15.77s
Total Load Time
57
HTTP Requests
4
Domains
106 KB
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:4,363 chars
Detector Agreement:100%
Website Classification
Primary Category
government95% confidence
Type: spa
Method: structural
All Detected Categories
government
95%
Detected Features
No structural features detected
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 12 | 142.250.181.234 | United States | AS15169GOOGLE |
| 5 | 172.67.183.137 | United States | AS13335CLOUDFLARENET |
| 5 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 5 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 5 | 2606:4700:3031::6815:3bcd | United States | Unknown |
| 5 | 2a06:98c1:3121::3 | United States | Unknown |
| 5 | 2a06:98c1:3120::3 | United States | Unknown |
| 5 | 2606:4700:3034::ac43:b789 | United States | Unknown |
| 5 | 2a00:1450:4001:803::200a | United States | Unknown |
| 5 | 104.21.59.205 | United States | Unknown |
| 57 | 10 | - | - |
Detected Technologies8
100%
100%
90%
50%
50%
40%
40%
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T1C06309B2840A1436636F935FF095F364AEA7801BDB0587E1B5FC6018CAC6FF681A364D
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
1536:Anapu/m3dTLBrXId3bkncjIzdCUEByx85deQ8X3jBJB132SJjH1vPmQ:Aa0/m3dfBrG3bAdTEQx8/eQ8HjBJB13n
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:68689:EsS4CyBRxBOMgiCItDYiBoBWOsIiZwAFogFCCBIMia0QIkViFISchA+NYASxBABJEwDi8AAwACCIcBckIognHgVAAGFFBIwC
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:00ffffff0000ffff
Perceptual Hash:fa356a006ae546bb
Difference Hash:9d90363219c52909
Wavelet Hash:0000ffff0000fffd
Color Hash:#79d1d2
Other Hashes
Crop Resistant:9d90363219c52909,8d9d9194a0919191,01c8c4c4dcd0c118
Scan History
Scan history not available
Unable to load historical scan data