Summary
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is lumvc.louisiana.gov and was registered NaN years ago.
Submitted URL: https://lumvc.louisiana.gov/wp-content/uploads/formidablercwduploads_temp/5/133/Rm0SH5wV7WX2Kb8/how_to_check_my_new_spirit_airlines_itinerary_after_reschedule.pdf
The Cisco Umbrella rank of the primary domain is #88,250 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no detectable security threats.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
BN
Category
unknown
(0%)Domain Information
The domain 'lumvc.louisiana.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'lumvc'. The second-level label 'louisiana' is 9 characters long holding six vowels versus three consonants. Breaking it apart gives one word: louisiana. 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
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 1 | 141.193.213.10 | United States | AS209242Cloudflare London, LLC |
| 1 | 141.193.213.11 | United States | AS209242Cloudflare London, LLC |
| 2 | 2 | - | - |
Detected Technologies3
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
Scan History
Scan history not available
Unable to load historical scan data