Security Scan Report: sheldoniowa.gov

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Submitted: Dec 4, 2025, 7:49:55 PMCompleted: Dec 4, 2025, 7:50:56 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 4 domains to perform 31 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 city government website with no security concerns.

Safety Factors
Well‑established domain age
Government TLD (.gov) typically verified
Physical address displayed
No malicious Indicators of Compromise
No suspicious forms or data collection
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) and has no subdomain. Its registrable label 'sheldoniowa' stretches across 11 characters holding 5 vowels versus six consonants. It segments into 2 words: sheldon, iowa. Expect 5.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.09s
Total Load Time
31
HTTP Requests
4
Domains
581 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:3,017 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
2575.2.60.5United States
AS16509AMAZON-02
4142.250.186.163United States
AS15169GOOGLE
32a05:d014:58f:6200::258Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
32a00:1450:4001:811::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
32a00:1450:4001:80b::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
32a05:d014:58f:6200::259Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
363.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
135.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1192.178.170.95United States
AS15169GOOGLE
319--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19903C974A580667713534ED5B532272AFADF93ECDC4F1A94A3EAC3861BC5E62DF0A001

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:SkhlzzWaedIuRBiFM1c/B1FqA/UevZoSs9:rq5LevZoJ9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38466:osEgoTAgOUwEUwygDCQmCAYgXBxCCIJSwyAKMKliQoIACEAtVgYdwPRCAhDNQIwBINR3MAAdZgDDSUZzAZaYKLAYSBxKTDiN

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:#40bf75

Scan History

Scan history not available

Unable to load historical scan data