Summary
This website contacted 52 IPs in 3 countries across 20 domains to perform 66 HTTP transactions. The main domain is educate.iowa.gov and was registered NaN years ago.
Submitted URL: https://educate.iowa.gov/pk-12/educator-quality/become-educator
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Become an Educator | Department of Education
Scan Type
public
Language
English
Category
education learning
(88%)Domain Information
Domain 'educate.iowa.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'educate'. Its registrable label 'iowa' stretches across 4 characters with 3 vowels and one consonant. Word splitting yields one word: iowa. The linguistic tilt is Vietnamese for 'iowa'. You will also see it in Afrikaans and Bosnian contexts. Net impression: Vietnamese phrase with single-word simplicity.
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 |
|---|---|---|---|
| 15 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 1 | 162.247.241.14 | United States | AS23467NEWRELIC-AS-1 |
| 1 | 142.250.186.142 | United States | AS15169GOOGLE |
| 1 | 69.192.160.133 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.184.232 | United States | AS15169GOOGLE |
| 1 | 23.50.131.143 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 142.250.186.174 | United States | AS15169GOOGLE |
| 1 | 23.50.131.150 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 23.35.232.134 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 66 | 52 | - | - |
Detected Technologies20
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