Security Scan Report: iowaintex.gov

Submitted: Dec 18, 2025, 3:45:37 AMCompleted: Dec 18, 2025, 3:48:48 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is iowaintex.gov and was registered NaN years ago.

Submitted URL: https://iowaintex.gov/dev/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government site with no apparent security concerns.

Safety Factors
Government .gov top‑level domain
Well‑established domain age
No malicious Indicators of Compromise
No login or payment forms present
Domain age information unavailable

Details

Page Title

IOWAINTEX v2

Scan Type

public

Language

🇺🇸

English

(43% confidence)

Category

technology software

(79%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'iowaintex.gov' is registered while skipping any subdomain. The core label 'iowaintex' covers 9 characters holding 5 vowels versus four consonants. Breaking it apart gives 3 words: iowa, in, tex. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://iowaintex.gov/dev/

Page Load Overview

189.68s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:43%
Script Type:Latin
Text Length:101 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software79% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
79%
documentation technical
67%
cryptocurrency blockchain
53%
government
48%
adult content
35%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
123.50.131.136Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
123.50.131.160Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
22--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BCC10805D4884E3625E61077B02BD144B37F8E3639299C47BEFE89DA7AD0EC451287DB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Q78LbBV3KLYlq8nJCWl9VaRCFpgDVkuxk1jnzQtz33SE4GWmPQ1m:QwLbBVKLYlbCwGRggDiuUjnMhSE4GWmt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5976:LUAYAAQAADBCAAMUAJUADMCAQAAoCGwASggAWAgAS0BAEBolGBcgSoBZJAEAwUIBQtUpQUAxAluAMEAIAABkpAAGIAm4FQAB

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

Average Hash:3c3c263c26263c3c
Perceptual Hash:8764dc32d89a7363
Difference Hash:70544c704c4c6868
Wavelet Hash:3c3c3e3e26263c3c
Color Hash:#a2c587

Scan History

Scan history not available

Unable to load historical scan data