Summary
This website contacted 17 IPs in 2 countries across 6 domains to perform 17 HTTP transactions. The main domain is iowaforms.gov and was registered NaN years ago.
Submitted URL: https://iowaforms.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate Iowa Department of Revenue developer site with no security concerns.
Safety Factors
Details
Page Title
Information for Software Developers | Iowa Department of Revenue
Scan Type
public
Language
English
Category
government
(95%)Domain Information
Domain 'iowaforms.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The second-level label 'iowaforms' is 9 characters long containing four vowels alongside five consonants. Breaking it apart gives 2 words: iowa, forms. Median word length comes out to 4.5 characters. The linguistic tilt is English for 'iowa'. Usage also turns up in Vietnamese and Chinese (Pinyin) contexts.
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 |
|---|---|---|---|
| 1 | 69.192.160.133 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 2.17.100.163 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 23.193.32.172 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 34.98.105.146 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 2.17.100.248 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 35.190.93.146 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 172.217.18.8 | United States | AS15169GOOGLE |
| 1 | 2a02:26f0:7100:585::11a6 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 2a02:26f0:3100:782::11a6 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 2a02:26f0:3100:795::11a6 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 17 | 17 | - | - |
Detected Technologies5
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
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