Summary
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is friscoisd.org and was registered NaN years ago.
Submitted URL: https://www.friscoisd.org/docs/default-source/frisco-isd-calendars/2025-2026-school-calendar.pdf?sfvrsn=39d6e38e_1
The Cisco Umbrella rank of the primary domain is #411,676 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 98%
The PDF is hosted on a legitimate, well‑established school district site with no security concerns.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
Dutch
Category
entertainment media
(64%)Domain Information
The domain 'www.friscoisd.org' uses the non-profit oriented generic top-level domain (.org), featuring subdomain 'www'. Count 9 characters in 'friscoisd' holding three vowels versus 6 consonants. Tokenizing the label suggests 3 words: frisco, is, d. 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 |
|---|---|---|---|
| 2 | 40.119.12.71 | San Antonio, Texas, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 1 | - | - |
Detected Technologies2
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
Unable to load historical scan data