Security Scan Report: sheldoniowa.gov

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Submitted: Oct 22, 2025, 2:56:26 PMCompleted: Oct 22, 2025, 2:57:27 PMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 4 domains to perform 30 HTTP transactions. The main domain is sheldoniowa.gov and was registered NaN years ago.

Submitted URL: https://sheldoniowa.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Established municipal domain
No malicious Indicators of Compromise
No forms collecting sensitive data
Consistent branding with official city name
Domain age information unavailable

Details

Page Title

Official Web Site of City of Sheldon

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(95%)

Domain Information

The domain 'sheldoniowa.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The second-level label 'sheldoniowa' is 11 characters long split between 5 vowels and six consonants. Segmentation suggests 2 words: sheldon, iowa. Expect 5.5 characters per word on average. 'sheldon' most often appears in Catalan. You may catch it in Danish and Norwegian as well. Taken together, it feels Catalan.

Screenshot

Security scan screenshot of https://sheldoniowa.gov/

Page Load Overview

28.66s
Total Load Time
30
HTTP Requests
4
Domains
545 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:3,015 chars
Detector Agreement:100%

Website Classification

Primary Category

government95% confidence
Type: static
Method: structural

All Detected Categories

government
95%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10142.250.185.131United States
AS15169GOOGLE
275.2.60.5United States
AS16509AMAZON-02
263.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
2142.250.186.42United States
AS15169GOOGLE
2142.250.186.67United States
AS15169GOOGLE
2142.250.186.106United States
AS15169GOOGLE
22a00:1450:4001:810::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
22a05:d014:58f:6200::258Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
22a00:1450:4001:813::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
22a05:d014:58f:6200::259Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
3011--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18F03C974A580667713534ED5B532272AFADF93ECDC4F1A94A3EAC3861BC5E62DF0A001

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:SkhCz4WaedIOJOFM1c/B1FqAGGbUevZoSs9:r4HFevZoJ9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38464:AAAR0AEgNgAEHrQAKCAIoAAuTtgxnIJxgwUGCgzmA2JEORREEQRBPFCMZiQOwcCRQAFFFDUA5gQCIqQAAOgCCPRIQVAQEEBB

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:ff000000ffffffff
Perceptual Hash:ae2be4f1e44a85d1
Difference Hash:d573696115c0b5a7
Wavelet Hash:ff00000000ffffff
Color Hash:#1f5993

Scan History

Scan history not available

Unable to load historical scan data