Summary
This website contacted 66 IPs in 4 countries across 50 domains to perform 96 HTTP transactions. The main domain is flcc.edu and was registered NaN years ago.
Submitted URL: https://flcc.edu/childcare/
Effective URL: https://www.flcc.edu/childcare/Redirected
AI Security Verdict
Safe Website
Confidence: 95%
The site is a legitimate college webpage with no security concerns.
Safety Factors
Details
Page Title
Childcare Center | Finger Lakes Community College
Scan Type
public
Language
English
Category
news media journalism
(45%)Domain Information
Domain 'flcc.edu' uses the sponsored educational top-level domain (.edu) while skipping any subdomain. The second-level label 'flcc' is 4 characters long split between 0 vowels and 4 consonants. Word splitting yields two words: f, lcc. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 42 | 13.226.244.102 | Sweden | |
| 1 | 18.245.46.53 | United States | |
| 1 | 3.163.248.4 | United States | AS16509AMAZON-02 |
| 1 | 54.78.254.47 | Netherlands | |
| 1 | 18.203.41.16 | Germany | |
| 1 | 35.204.89.238 | Groningen, Groningen, Netherlands | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 18.66.112.72 | Unknown | |
| 1 | 142.250.184.228 | Unknown | Unknown |
| 1 | 18.156.149.51 | Unknown | Unknown |
| 1 | 52.18.75.151 | Unknown | Unknown |
| 107 | 66 | - | - |
Detected Technologies11
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
Scan history not available
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